Commit Graph

169 Commits

Author SHA1 Message Date
Nikolas Klauser
935e699173 [libc++] Optimize ranges::minmax (#87335)
This allows Clang to vectorize the loop.
```
---------------------------------------------------------------------
Benchmark                                         old             new
---------------------------------------------------------------------
BM_std_minmax<char>/1                        0.659 ns         1.41 ns
BM_std_minmax<char>/2                         1.08 ns         2.16 ns
BM_std_minmax<char>/3                         2.16 ns         2.96 ns
BM_std_minmax<char>/4                         2.82 ns         3.81 ns
BM_std_minmax<char>/5                         3.43 ns         4.69 ns
BM_std_minmax<char>/6                         4.08 ns         5.63 ns
BM_std_minmax<char>/7                         4.75 ns         6.51 ns
BM_std_minmax<char>/8                         5.42 ns         7.41 ns
BM_std_minmax<char>/9                         6.05 ns         8.34 ns
BM_std_minmax<char>/10                        6.68 ns         9.29 ns
BM_std_minmax<char>/11                        7.47 ns         10.6 ns
BM_std_minmax<char>/12                        7.95 ns         11.4 ns
BM_std_minmax<char>/13                        8.64 ns         12.4 ns
BM_std_minmax<char>/14                        9.35 ns         13.4 ns
BM_std_minmax<char>/15                        10.1 ns         14.4 ns
BM_std_minmax<char>/16                        10.6 ns         2.25 ns
BM_std_minmax<char>/17                        11.3 ns         2.82 ns
BM_std_minmax<char>/18                        11.8 ns         3.71 ns
BM_std_minmax<char>/19                        12.6 ns         4.52 ns
BM_std_minmax<char>/20                        13.2 ns         5.47 ns
BM_std_minmax<char>/21                        14.1 ns         6.67 ns
BM_std_minmax<char>/22                        14.5 ns         7.78 ns
BM_std_minmax<char>/23                        15.1 ns         8.67 ns
BM_std_minmax<char>/24                        15.7 ns         9.68 ns
BM_std_minmax<char>/25                        16.4 ns         10.7 ns
BM_std_minmax<char>/26                        17.1 ns         11.7 ns
BM_std_minmax<char>/27                        17.8 ns         12.8 ns
BM_std_minmax<char>/28                        18.4 ns         14.1 ns
BM_std_minmax<char>/29                        19.0 ns         15.0 ns
BM_std_minmax<char>/30                        19.6 ns         16.0 ns
BM_std_minmax<char>/31                        20.2 ns         17.0 ns
BM_std_minmax<char>/32                        20.8 ns         2.46 ns
BM_std_minmax<char>/64                        41.5 ns         2.97 ns
BM_std_minmax<char>/512                        340 ns         6.05 ns
BM_std_minmax<char>/1024                       667 ns         8.83 ns
BM_std_minmax<char>/4000                      2571 ns         28.6 ns
BM_std_minmax<char>/4096                      2632 ns         25.8 ns
BM_std_minmax<char>/5500                      3554 ns         51.1 ns
BM_std_minmax<char>/64000                    41175 ns          480 ns
BM_std_minmax<char>/65536                    42039 ns          490 ns
BM_std_minmax<char>/70000                    44931 ns          528 ns
BM_std_minmax<short>/1                       0.708 ns         1.20 ns
BM_std_minmax<short>/2                        1.18 ns         1.78 ns
BM_std_minmax<short>/3                        1.98 ns         2.42 ns
BM_std_minmax<short>/4                        2.47 ns         3.05 ns
BM_std_minmax<short>/5                        3.09 ns         3.72 ns
BM_std_minmax<short>/6                        3.49 ns         4.37 ns
BM_std_minmax<short>/7                        4.24 ns         5.03 ns
BM_std_minmax<short>/8                        4.65 ns         2.12 ns
BM_std_minmax<short>/9                        5.34 ns         2.51 ns
BM_std_minmax<short>/10                       5.82 ns         3.18 ns
BM_std_minmax<short>/11                       6.36 ns         3.97 ns
BM_std_minmax<short>/12                       6.73 ns         4.68 ns
BM_std_minmax<short>/13                       7.59 ns         5.49 ns
BM_std_minmax<short>/14                       7.77 ns         6.45 ns
BM_std_minmax<short>/15                       8.54 ns         7.55 ns
BM_std_minmax<short>/16                       8.74 ns         2.38 ns
BM_std_minmax<short>/17                       9.59 ns         2.76 ns
BM_std_minmax<short>/18                       9.88 ns         3.37 ns
BM_std_minmax<short>/19                       10.7 ns         4.17 ns
BM_std_minmax<short>/20                       10.9 ns         4.88 ns
BM_std_minmax<short>/21                       12.1 ns         5.70 ns
BM_std_minmax<short>/22                       12.6 ns         6.64 ns
BM_std_minmax<short>/23                       13.5 ns         7.72 ns
BM_std_minmax<short>/24                       13.2 ns         2.87 ns
BM_std_minmax<short>/25                       14.2 ns         3.10 ns
BM_std_minmax<short>/26                       14.2 ns         3.59 ns
BM_std_minmax<short>/27                       15.4 ns         4.35 ns
BM_std_minmax<short>/28                       15.3 ns         5.10 ns
BM_std_minmax<short>/29                       16.2 ns         5.87 ns
BM_std_minmax<short>/30                       16.2 ns         6.88 ns
BM_std_minmax<short>/31                       17.0 ns         7.78 ns
BM_std_minmax<short>/32                       17.2 ns         3.45 ns
BM_std_minmax<short>/64                       34.1 ns         3.35 ns
BM_std_minmax<short>/512                       279 ns         8.37 ns
BM_std_minmax<short>/1024                      549 ns         14.2 ns
BM_std_minmax<short>/4000                     2111 ns         50.1 ns
BM_std_minmax<short>/4096                     2167 ns         47.9 ns
BM_std_minmax<short>/5500                     2895 ns         69.7 ns
BM_std_minmax<short>/64000                   33454 ns          953 ns
BM_std_minmax<short>/65536                   34474 ns          970 ns
BM_std_minmax<short>/70000                   36691 ns         1037 ns
BM_std_minmax<int>/1                         0.664 ns         1.17 ns
BM_std_minmax<int>/2                          1.11 ns         1.69 ns
BM_std_minmax<int>/3                          2.36 ns         2.29 ns
BM_std_minmax<int>/4                          2.53 ns         2.91 ns
BM_std_minmax<int>/5                          3.23 ns         3.56 ns
BM_std_minmax<int>/6                          3.56 ns         4.23 ns
BM_std_minmax<int>/7                          4.28 ns         4.91 ns
BM_std_minmax<int>/8                          4.60 ns         5.60 ns
BM_std_minmax<int>/9                          5.38 ns         6.31 ns
BM_std_minmax<int>/10                         5.69 ns         7.03 ns
BM_std_minmax<int>/11                         6.41 ns         7.70 ns
BM_std_minmax<int>/12                         6.73 ns         8.39 ns
BM_std_minmax<int>/13                         7.38 ns         9.07 ns
BM_std_minmax<int>/14                         7.74 ns         9.79 ns
BM_std_minmax<int>/15                         8.53 ns         10.5 ns
BM_std_minmax<int>/16                         8.79 ns         11.2 ns
BM_std_minmax<int>/17                         9.63 ns         12.0 ns
BM_std_minmax<int>/18                         9.84 ns         12.7 ns
BM_std_minmax<int>/19                         10.6 ns         13.5 ns
BM_std_minmax<int>/20                         11.0 ns         14.3 ns
BM_std_minmax<int>/21                         11.7 ns         15.0 ns
BM_std_minmax<int>/22                         12.0 ns         15.7 ns
BM_std_minmax<int>/23                         13.1 ns         16.5 ns
BM_std_minmax<int>/24                         13.0 ns         17.3 ns
BM_std_minmax<int>/25                         13.7 ns         17.9 ns
BM_std_minmax<int>/26                         14.0 ns         18.6 ns
BM_std_minmax<int>/27                         14.8 ns         19.4 ns
BM_std_minmax<int>/28                         15.1 ns         20.3 ns
BM_std_minmax<int>/29                         15.8 ns         20.9 ns
BM_std_minmax<int>/30                         16.1 ns         21.7 ns
BM_std_minmax<int>/31                         16.9 ns         22.5 ns
BM_std_minmax<int>/32                         17.2 ns         3.40 ns
BM_std_minmax<int>/64                         33.9 ns         4.04 ns
BM_std_minmax<int>/512                         275 ns         14.6 ns
BM_std_minmax<int>/1024                        541 ns         27.5 ns
BM_std_minmax<int>/4000                       2093 ns         96.3 ns
BM_std_minmax<int>/4096                       2146 ns         98.3 ns
BM_std_minmax<int>/5500                       2866 ns          157 ns
BM_std_minmax<int>/64000                     33619 ns         1954 ns
BM_std_minmax<int>/65536                     34252 ns         2009 ns
BM_std_minmax<int>/70000                     36618 ns         2125 ns
BM_std_minmax<long long>/1                   0.709 ns         1.19 ns
BM_std_minmax<long long>/2                    1.01 ns         1.65 ns
BM_std_minmax<long long>/3                    2.14 ns         2.21 ns
BM_std_minmax<long long>/4                    2.45 ns         2.83 ns
BM_std_minmax<long long>/5                    3.09 ns         3.47 ns
BM_std_minmax<long long>/6                    3.44 ns         4.11 ns
BM_std_minmax<long long>/7                    4.16 ns         4.79 ns
BM_std_minmax<long long>/8                    4.54 ns         5.47 ns
BM_std_minmax<long long>/9                    5.37 ns         6.20 ns
BM_std_minmax<long long>/10                   5.71 ns         6.93 ns
BM_std_minmax<long long>/11                   6.00 ns         7.60 ns
BM_std_minmax<long long>/12                   6.43 ns         8.27 ns
BM_std_minmax<long long>/13                   7.01 ns         8.94 ns
BM_std_minmax<long long>/14                   7.45 ns         9.65 ns
BM_std_minmax<long long>/15                   8.16 ns         10.4 ns
BM_std_minmax<long long>/16                   8.46 ns         5.22 ns
BM_std_minmax<long long>/17                   9.16 ns         5.22 ns
BM_std_minmax<long long>/18                   9.53 ns         5.52 ns
BM_std_minmax<long long>/19                   10.2 ns         6.02 ns
BM_std_minmax<long long>/20                   10.5 ns         6.89 ns
BM_std_minmax<long long>/21                   11.3 ns         7.83 ns
BM_std_minmax<long long>/22                   11.6 ns         8.59 ns
BM_std_minmax<long long>/23                   12.3 ns         9.91 ns
BM_std_minmax<long long>/24                   12.6 ns         10.1 ns
BM_std_minmax<long long>/25                   13.2 ns         12.0 ns
BM_std_minmax<long long>/26                   13.6 ns         13.5 ns
BM_std_minmax<long long>/27                   14.2 ns         14.8 ns
BM_std_minmax<long long>/28                   14.7 ns         15.9 ns
BM_std_minmax<long long>/29                   15.3 ns         16.6 ns
BM_std_minmax<long long>/30                   15.8 ns         17.3 ns
BM_std_minmax<long long>/31                   16.3 ns         18.2 ns
BM_std_minmax<long long>/32                   16.7 ns         7.18 ns
BM_std_minmax<long long>/64                   33.1 ns         11.5 ns
BM_std_minmax<long long>/512                   268 ns         71.0 ns
BM_std_minmax<long long>/1024                  532 ns          138 ns
BM_std_minmax<long long>/4000                 2056 ns          533 ns
BM_std_minmax<long long>/4096                 2112 ns          539 ns
BM_std_minmax<long long>/5500                 2823 ns          749 ns
BM_std_minmax<long long>/64000               32956 ns         8590 ns
BM_std_minmax<long long>/65536               33795 ns         8791 ns
BM_std_minmax<long long>/70000               36084 ns         9442 ns
BM_std_minmax<unsigned char>/1               0.714 ns         1.41 ns
BM_std_minmax<unsigned char>/2               0.955 ns         1.96 ns
BM_std_minmax<unsigned char>/3                1.90 ns         2.63 ns
BM_std_minmax<unsigned char>/4                2.40 ns         3.34 ns
BM_std_minmax<unsigned char>/5                2.87 ns         4.10 ns
BM_std_minmax<unsigned char>/6                3.47 ns         4.88 ns
BM_std_minmax<unsigned char>/7                4.04 ns         5.66 ns
BM_std_minmax<unsigned char>/8                4.65 ns         6.45 ns
BM_std_minmax<unsigned char>/9                5.18 ns         7.24 ns
BM_std_minmax<unsigned char>/10               5.80 ns         8.05 ns
BM_std_minmax<unsigned char>/11               6.24 ns         8.86 ns
BM_std_minmax<unsigned char>/12               6.78 ns         9.70 ns
BM_std_minmax<unsigned char>/13               7.30 ns         10.6 ns
BM_std_minmax<unsigned char>/14               7.86 ns         11.4 ns
BM_std_minmax<unsigned char>/15               8.46 ns         12.3 ns
BM_std_minmax<unsigned char>/16               9.00 ns         2.12 ns
BM_std_minmax<unsigned char>/17               9.58 ns         2.83 ns
BM_std_minmax<unsigned char>/18               10.1 ns         3.37 ns
BM_std_minmax<unsigned char>/19               10.7 ns         4.11 ns
BM_std_minmax<unsigned char>/20               11.2 ns         4.85 ns
BM_std_minmax<unsigned char>/21               11.9 ns         5.69 ns
BM_std_minmax<unsigned char>/22               12.3 ns         6.77 ns
BM_std_minmax<unsigned char>/23               13.1 ns         7.56 ns
BM_std_minmax<unsigned char>/24               13.5 ns         8.40 ns
BM_std_minmax<unsigned char>/25               14.2 ns         9.30 ns
BM_std_minmax<unsigned char>/26               14.4 ns         10.1 ns
BM_std_minmax<unsigned char>/27               15.0 ns         11.1 ns
BM_std_minmax<unsigned char>/28               15.3 ns         11.9 ns
BM_std_minmax<unsigned char>/29               16.2 ns         12.9 ns
BM_std_minmax<unsigned char>/30               16.5 ns         13.9 ns
BM_std_minmax<unsigned char>/31               17.2 ns         14.8 ns
BM_std_minmax<unsigned char>/32               17.6 ns         2.36 ns
BM_std_minmax<unsigned char>/64               35.6 ns         3.21 ns
BM_std_minmax<unsigned char>/512               288 ns         6.00 ns
BM_std_minmax<unsigned char>/1024              573 ns         8.80 ns
BM_std_minmax<unsigned char>/4000             2222 ns         28.6 ns
BM_std_minmax<unsigned char>/4096             2265 ns         25.9 ns
BM_std_minmax<unsigned char>/5500             3047 ns         48.8 ns
BM_std_minmax<unsigned char>/64000           35059 ns          480 ns
BM_std_minmax<unsigned char>/65536           35941 ns          491 ns
BM_std_minmax<unsigned char>/70000           38922 ns          525 ns
BM_std_minmax<unsigned short>/1              0.711 ns         1.18 ns
BM_std_minmax<unsigned short>/2              0.957 ns         1.65 ns
BM_std_minmax<unsigned short>/3               2.13 ns         2.21 ns
BM_std_minmax<unsigned short>/4               2.14 ns         2.78 ns
BM_std_minmax<unsigned short>/5               3.06 ns         3.29 ns
BM_std_minmax<unsigned short>/6               2.89 ns         3.87 ns
BM_std_minmax<unsigned short>/7               3.80 ns         4.55 ns
BM_std_minmax<unsigned short>/8               3.68 ns         2.02 ns
BM_std_minmax<unsigned short>/9               4.53 ns         2.40 ns
BM_std_minmax<unsigned short>/10              4.60 ns         2.94 ns
BM_std_minmax<unsigned short>/11              5.67 ns         3.67 ns
BM_std_minmax<unsigned short>/12              5.39 ns         4.22 ns
BM_std_minmax<unsigned short>/13              6.58 ns         4.78 ns
BM_std_minmax<unsigned short>/14              6.33 ns         5.54 ns
BM_std_minmax<unsigned short>/15              7.34 ns         6.30 ns
BM_std_minmax<unsigned short>/16              7.17 ns         2.25 ns
BM_std_minmax<unsigned short>/17              8.19 ns         2.61 ns
BM_std_minmax<unsigned short>/18              8.02 ns         3.19 ns
BM_std_minmax<unsigned short>/19              9.03 ns         3.72 ns
BM_std_minmax<unsigned short>/20              8.89 ns         4.36 ns
BM_std_minmax<unsigned short>/21              9.77 ns         5.10 ns
BM_std_minmax<unsigned short>/22              9.70 ns         5.55 ns
BM_std_minmax<unsigned short>/23              10.8 ns         6.29 ns
BM_std_minmax<unsigned short>/24              10.6 ns         2.41 ns
BM_std_minmax<unsigned short>/25              11.6 ns         2.75 ns
BM_std_minmax<unsigned short>/26              11.4 ns         3.26 ns
BM_std_minmax<unsigned short>/27              12.4 ns         3.86 ns
BM_std_minmax<unsigned short>/28              12.3 ns         4.45 ns
BM_std_minmax<unsigned short>/29              13.2 ns         5.07 ns
BM_std_minmax<unsigned short>/30              13.1 ns         5.77 ns
BM_std_minmax<unsigned short>/31              13.9 ns         6.65 ns
BM_std_minmax<unsigned short>/32              13.9 ns         2.72 ns
BM_std_minmax<unsigned short>/64              27.8 ns         3.25 ns
BM_std_minmax<unsigned short>/512              220 ns         8.30 ns
BM_std_minmax<unsigned short>/1024             435 ns         14.1 ns
BM_std_minmax<unsigned short>/4000            1703 ns         49.8 ns
BM_std_minmax<unsigned short>/4096            1746 ns         47.9 ns
BM_std_minmax<unsigned short>/5500            2350 ns         69.9 ns
BM_std_minmax<unsigned short>/64000          27388 ns          953 ns
BM_std_minmax<unsigned short>/65536          28040 ns          975 ns
BM_std_minmax<unsigned short>/70000          29967 ns         1040 ns
BM_std_minmax<unsigned int>/1                0.712 ns         1.18 ns
BM_std_minmax<unsigned int>/2                0.965 ns         1.65 ns
BM_std_minmax<unsigned int>/3                 2.13 ns         2.14 ns
BM_std_minmax<unsigned int>/4                 2.09 ns         2.64 ns
BM_std_minmax<unsigned int>/5                 3.02 ns         3.21 ns
BM_std_minmax<unsigned int>/6                 2.94 ns         3.81 ns
BM_std_minmax<unsigned int>/7                 3.91 ns         4.38 ns
BM_std_minmax<unsigned int>/8                 3.75 ns         4.93 ns
BM_std_minmax<unsigned int>/9                 4.71 ns         5.60 ns
BM_std_minmax<unsigned int>/10                4.59 ns         6.26 ns
BM_std_minmax<unsigned int>/11                5.57 ns         6.80 ns
BM_std_minmax<unsigned int>/12                5.43 ns         7.47 ns
BM_std_minmax<unsigned int>/13                6.45 ns         8.10 ns
BM_std_minmax<unsigned int>/14                6.32 ns         8.69 ns
BM_std_minmax<unsigned int>/15                7.29 ns         9.37 ns
BM_std_minmax<unsigned int>/16                7.12 ns         9.99 ns
BM_std_minmax<unsigned int>/17                8.24 ns         10.6 ns
BM_std_minmax<unsigned int>/18                8.00 ns         11.2 ns
BM_std_minmax<unsigned int>/19                8.94 ns         12.0 ns
BM_std_minmax<unsigned int>/20                8.91 ns         12.6 ns
BM_std_minmax<unsigned int>/21                9.73 ns         17.2 ns
BM_std_minmax<unsigned int>/22                9.75 ns         13.8 ns
BM_std_minmax<unsigned int>/23                10.6 ns         14.5 ns
BM_std_minmax<unsigned int>/24                10.6 ns         15.1 ns
BM_std_minmax<unsigned int>/25                11.5 ns         15.7 ns
BM_std_minmax<unsigned int>/26                11.4 ns         16.3 ns
BM_std_minmax<unsigned int>/27                12.3 ns         17.0 ns
BM_std_minmax<unsigned int>/28                12.3 ns         17.6 ns
BM_std_minmax<unsigned int>/29                13.2 ns         18.3 ns
BM_std_minmax<unsigned int>/30                13.2 ns         19.0 ns
BM_std_minmax<unsigned int>/31                14.0 ns         19.6 ns
BM_std_minmax<unsigned int>/32                14.0 ns         3.39 ns
BM_std_minmax<unsigned int>/64                27.6 ns         4.05 ns
BM_std_minmax<unsigned int>/512                221 ns         14.2 ns
BM_std_minmax<unsigned int>/1024               439 ns         25.5 ns
BM_std_minmax<unsigned int>/4000              1720 ns         96.3 ns
BM_std_minmax<unsigned int>/4096              1762 ns         97.8 ns
BM_std_minmax<unsigned int>/5500              2364 ns          146 ns
BM_std_minmax<unsigned int>/64000            27874 ns         1905 ns
BM_std_minmax<unsigned int>/65536            28012 ns         1961 ns
BM_std_minmax<unsigned int>/70000            29899 ns         2087 ns
BM_std_minmax<unsigned long long>/1          0.707 ns         1.18 ns
BM_std_minmax<unsigned long long>/2          0.909 ns         1.65 ns
BM_std_minmax<unsigned long long>/3           1.65 ns         2.70 ns
BM_std_minmax<unsigned long long>/4           1.93 ns         2.69 ns
BM_std_minmax<unsigned long long>/5           2.45 ns         3.34 ns
BM_std_minmax<unsigned long long>/6           2.78 ns         3.81 ns
BM_std_minmax<unsigned long long>/7           3.28 ns         4.43 ns
BM_std_minmax<unsigned long long>/8           3.70 ns         4.92 ns
BM_std_minmax<unsigned long long>/9           4.12 ns         5.64 ns
BM_std_minmax<unsigned long long>/10          4.44 ns         6.15 ns
BM_std_minmax<unsigned long long>/11          4.91 ns         6.81 ns
BM_std_minmax<unsigned long long>/12          5.31 ns         7.41 ns
BM_std_minmax<unsigned long long>/13          5.72 ns         7.96 ns
BM_std_minmax<unsigned long long>/14          6.05 ns         8.66 ns
BM_std_minmax<unsigned long long>/15          6.55 ns         9.37 ns
BM_std_minmax<unsigned long long>/16          6.89 ns         7.98 ns
BM_std_minmax<unsigned long long>/17          7.34 ns         8.13 ns
BM_std_minmax<unsigned long long>/18          7.73 ns         8.42 ns
BM_std_minmax<unsigned long long>/19          8.26 ns         8.63 ns
BM_std_minmax<unsigned long long>/20          8.54 ns         8.96 ns
BM_std_minmax<unsigned long long>/21          9.14 ns         9.37 ns
BM_std_minmax<unsigned long long>/22          9.39 ns         9.67 ns
BM_std_minmax<unsigned long long>/23          10.1 ns         10.1 ns
BM_std_minmax<unsigned long long>/24          10.4 ns         10.6 ns
BM_std_minmax<unsigned long long>/25          11.0 ns         11.3 ns
BM_std_minmax<unsigned long long>/26          11.3 ns         12.1 ns
BM_std_minmax<unsigned long long>/27          11.8 ns         14.2 ns
BM_std_minmax<unsigned long long>/28          12.1 ns         15.8 ns
BM_std_minmax<unsigned long long>/29          12.6 ns         17.4 ns
BM_std_minmax<unsigned long long>/30          13.1 ns         18.1 ns
BM_std_minmax<unsigned long long>/31          13.4 ns         18.8 ns
BM_std_minmax<unsigned long long>/32          13.8 ns         10.4 ns
BM_std_minmax<unsigned long long>/64          27.3 ns         15.5 ns
BM_std_minmax<unsigned long long>/512          222 ns         80.6 ns
BM_std_minmax<unsigned long long>/1024         443 ns          156 ns
BM_std_minmax<unsigned long long>/4000        1731 ns          591 ns
BM_std_minmax<unsigned long long>/4096        1752 ns          609 ns
BM_std_minmax<unsigned long long>/5500        2340 ns          819 ns
BM_std_minmax<unsigned long long>/64000      27166 ns         9652 ns
BM_std_minmax<unsigned long long>/65536      27869 ns         9876 ns
BM_std_minmax<unsigned long long>/70000      29920 ns        10680 ns
```
2024-04-06 17:22:07 +02:00
Nikolas Klauser
985c1a44f8 [libc++] Optimize the two range overload of mismatch (#86853)
```
-----------------------------------------------------------------------------
Benchmark                                                 old             new
-----------------------------------------------------------------------------
bm_mismatch_two_range_overload<char>/1               0.941 ns         1.88 ns
bm_mismatch_two_range_overload<char>/2                1.43 ns         2.15 ns
bm_mismatch_two_range_overload<char>/3                1.95 ns         2.55 ns
bm_mismatch_two_range_overload<char>/4                2.58 ns         2.90 ns
bm_mismatch_two_range_overload<char>/5                3.75 ns         3.31 ns
bm_mismatch_two_range_overload<char>/6                5.00 ns         3.83 ns
bm_mismatch_two_range_overload<char>/7                5.59 ns         4.35 ns
bm_mismatch_two_range_overload<char>/8                6.37 ns         4.84 ns
bm_mismatch_two_range_overload<char>/16               11.8 ns         6.72 ns
bm_mismatch_two_range_overload<char>/64               45.5 ns         2.59 ns
bm_mismatch_two_range_overload<char>/512               366 ns         12.6 ns
bm_mismatch_two_range_overload<char>/4096             2890 ns         91.6 ns
bm_mismatch_two_range_overload<char>/32768           23038 ns          758 ns
bm_mismatch_two_range_overload<char>/262144         142813 ns         6573 ns
bm_mismatch_two_range_overload<char>/1048576        366679 ns        26710 ns
bm_mismatch_two_range_overload<short>/1              0.934 ns         1.88 ns
bm_mismatch_two_range_overload<short>/2               1.30 ns         2.58 ns
bm_mismatch_two_range_overload<short>/3               1.76 ns         3.28 ns
bm_mismatch_two_range_overload<short>/4               2.24 ns         3.98 ns
bm_mismatch_two_range_overload<short>/5               2.80 ns         4.92 ns
bm_mismatch_two_range_overload<short>/6               3.58 ns         6.01 ns
bm_mismatch_two_range_overload<short>/7               4.29 ns         7.03 ns
bm_mismatch_two_range_overload<short>/8               4.67 ns         7.39 ns
bm_mismatch_two_range_overload<short>/16              9.86 ns         13.1 ns
bm_mismatch_two_range_overload<short>/64              38.9 ns         4.55 ns
bm_mismatch_two_range_overload<short>/512              348 ns         27.7 ns
bm_mismatch_two_range_overload<short>/4096            2881 ns          225 ns
bm_mismatch_two_range_overload<short>/32768          23111 ns         1715 ns
bm_mismatch_two_range_overload<short>/262144        184846 ns        14416 ns
bm_mismatch_two_range_overload<short>/1048576       742885 ns        57264 ns
bm_mismatch_two_range_overload<int>/1                0.838 ns         1.19 ns
bm_mismatch_two_range_overload<int>/2                 1.19 ns         1.65 ns
bm_mismatch_two_range_overload<int>/3                 1.83 ns         2.06 ns
bm_mismatch_two_range_overload<int>/4                 2.38 ns         2.42 ns
bm_mismatch_two_range_overload<int>/5                 3.60 ns         2.47 ns
bm_mismatch_two_range_overload<int>/6                 3.68 ns         3.05 ns
bm_mismatch_two_range_overload<int>/7                 4.32 ns         3.36 ns
bm_mismatch_two_range_overload<int>/8                 5.18 ns         3.58 ns
bm_mismatch_two_range_overload<int>/16                10.6 ns         2.84 ns
bm_mismatch_two_range_overload<int>/64                39.0 ns         7.78 ns
bm_mismatch_two_range_overload<int>/512                247 ns         53.9 ns
bm_mismatch_two_range_overload<int>/4096              1927 ns          429 ns
bm_mismatch_two_range_overload<int>/32768            15569 ns         3393 ns
bm_mismatch_two_range_overload<int>/262144          125413 ns        28504 ns
bm_mismatch_two_range_overload<int>/1048576         504549 ns       112729 ns
```
2024-04-01 18:21:51 +02:00
Nikolas Klauser
beaff78528 [libc++] Optimize the std::mismatch tail (#83440)
This adds vectorization to the last 0-3 vectors and, if the range is
large enough, the remaining elements that don't fill a vector
completely.
```
-----------------------------------------------------------------------
Benchmark                           old    full vectors  partial vector
-----------------------------------------------------------------------
bm_mismatch<char>/1             1.40 ns         1.62 ns         2.09 ns
bm_mismatch<char>/2             1.88 ns         2.10 ns         2.33 ns
bm_mismatch<char>/3             2.67 ns         2.56 ns         2.72 ns
bm_mismatch<char>/4             3.01 ns         3.20 ns         3.70 ns
bm_mismatch<char>/5             3.51 ns         3.73 ns         3.64 ns
bm_mismatch<char>/6             4.71 ns         4.85 ns         4.37 ns
bm_mismatch<char>/7             5.12 ns         5.33 ns         4.37 ns
bm_mismatch<char>/8             5.79 ns         6.02 ns         4.75 ns
bm_mismatch<char>/15            9.20 ns         10.5 ns         7.23 ns
bm_mismatch<char>/16            10.2 ns         10.1 ns         7.46 ns
bm_mismatch<char>/17            10.2 ns         10.8 ns         7.57 ns
bm_mismatch<char>/31            17.6 ns         17.1 ns         10.8 ns
bm_mismatch<char>/32            17.4 ns         1.64 ns         1.64 ns
bm_mismatch<char>/33            23.3 ns         2.10 ns         2.33 ns
bm_mismatch<char>/63            31.8 ns         16.9 ns         2.33 ns
bm_mismatch<char>/64            32.6 ns         2.10 ns         2.10 ns
bm_mismatch<char>/65            33.6 ns         2.57 ns         2.80 ns
bm_mismatch<char>/127           67.3 ns         18.1 ns         3.27 ns
bm_mismatch<char>/128           2.17 ns         2.14 ns         2.57 ns
bm_mismatch<char>/129           2.36 ns         2.80 ns         3.27 ns
bm_mismatch<char>/255           67.5 ns         19.6 ns         4.68 ns
bm_mismatch<char>/256           3.76 ns         3.71 ns         3.97 ns
bm_mismatch<char>/257           3.77 ns         4.04 ns         4.43 ns
bm_mismatch<char>/511           70.8 ns         22.1 ns         7.47 ns
bm_mismatch<char>/512           7.27 ns         7.30 ns         6.95 ns
bm_mismatch<char>/513           7.11 ns         7.05 ns         6.96 ns
bm_mismatch<char>/1023          75.9 ns         27.4 ns         13.3 ns
bm_mismatch<char>/1024          13.9 ns         13.8 ns         12.4 ns
bm_mismatch<char>/1025          13.6 ns         13.6 ns         12.8 ns
bm_mismatch<char>/2047          87.3 ns         37.5 ns         25.4 ns
bm_mismatch<char>/2048          26.8 ns         27.4 ns         24.0 ns
bm_mismatch<char>/2049          26.7 ns         27.3 ns         25.5 ns
bm_mismatch<char>/4095           112 ns         64.7 ns         48.7 ns
bm_mismatch<char>/4096          53.0 ns         54.2 ns         46.8 ns
bm_mismatch<char>/4097          52.7 ns         54.2 ns         48.4 ns
bm_mismatch<char>/8191           160 ns          118 ns         98.4 ns
bm_mismatch<char>/8192           107 ns          108 ns         96.0 ns
bm_mismatch<char>/8193           106 ns          108 ns         97.2 ns
bm_mismatch<char>/16383          283 ns          234 ns          215 ns
bm_mismatch<char>/16384          227 ns          223 ns          217 ns
bm_mismatch<char>/16385          221 ns          221 ns          215 ns
bm_mismatch<char>/32767          547 ns          499 ns          488 ns
bm_mismatch<char>/32768          495 ns          492 ns          492 ns
bm_mismatch<char>/32769          491 ns          489 ns          488 ns
bm_mismatch<char>/65535         1028 ns          979 ns          971 ns
bm_mismatch<char>/65536          976 ns          970 ns          974 ns
bm_mismatch<char>/65537          970 ns          965 ns          971 ns
bm_mismatch<char>/131071        2031 ns         1948 ns         2005 ns
bm_mismatch<char>/131072        1973 ns         1955 ns         1974 ns
bm_mismatch<char>/131073        1989 ns         1932 ns         2001 ns
bm_mismatch<char>/262143        4469 ns         4244 ns         4223 ns
bm_mismatch<char>/262144        4443 ns         4183 ns         4243 ns
bm_mismatch<char>/262145        4400 ns         4232 ns         4246 ns
bm_mismatch<char>/524287       10169 ns         9733 ns         9592 ns
bm_mismatch<char>/524288       10154 ns         9664 ns         9843 ns
bm_mismatch<char>/524289       10113 ns         9641 ns        10003 ns
bm_mismatch<short>/1            1.86 ns         2.53 ns         2.32 ns
bm_mismatch<short>/2            2.57 ns         2.77 ns         2.55 ns
bm_mismatch<short>/3            3.26 ns         3.00 ns         2.79 ns
bm_mismatch<short>/4            3.95 ns         3.39 ns         3.15 ns
bm_mismatch<short>/5            4.83 ns         3.97 ns         3.72 ns
bm_mismatch<short>/6            5.43 ns         4.34 ns         4.03 ns
bm_mismatch<short>/7            6.11 ns         4.73 ns         4.44 ns
bm_mismatch<short>/8            6.84 ns         5.02 ns         4.79 ns
bm_mismatch<short>/15           11.5 ns         7.12 ns         6.50 ns
bm_mismatch<short>/16           13.9 ns         1.87 ns         2.11 ns
bm_mismatch<short>/17           14.0 ns         3.00 ns         2.47 ns
bm_mismatch<short>/31           23.1 ns         7.87 ns         2.47 ns
bm_mismatch<short>/32           23.8 ns         2.57 ns         2.81 ns
bm_mismatch<short>/33           24.5 ns         3.70 ns         2.94 ns
bm_mismatch<short>/63           44.8 ns         9.37 ns         3.46 ns
bm_mismatch<short>/64           2.32 ns         2.57 ns         2.64 ns
bm_mismatch<short>/65           2.52 ns         3.02 ns         3.51 ns
bm_mismatch<short>/127          45.6 ns         9.97 ns         5.18 ns
bm_mismatch<short>/128          3.85 ns         3.93 ns         3.94 ns
bm_mismatch<short>/129          3.82 ns         4.20 ns         4.70 ns
bm_mismatch<short>/255          50.4 ns         12.6 ns         8.07 ns
bm_mismatch<short>/256          7.23 ns         6.91 ns         6.98 ns
bm_mismatch<short>/257          7.24 ns         7.19 ns         7.55 ns
bm_mismatch<short>/511          52.3 ns         17.8 ns         14.0 ns
bm_mismatch<short>/512          13.6 ns         13.7 ns         13.6 ns
bm_mismatch<short>/513          13.9 ns         13.8 ns         18.5 ns
bm_mismatch<short>/1023         60.9 ns         30.9 ns         26.3 ns
bm_mismatch<short>/1024         26.7 ns         27.7 ns         25.7 ns
bm_mismatch<short>/1025         27.7 ns         27.6 ns         25.3 ns
bm_mismatch<short>/2047         88.4 ns         58.0 ns         51.6 ns
bm_mismatch<short>/2048         52.8 ns         55.3 ns         50.6 ns
bm_mismatch<short>/2049         55.2 ns         54.8 ns         48.7 ns
bm_mismatch<short>/4095          153 ns          113 ns          102 ns
bm_mismatch<short>/4096          105 ns          110 ns          101 ns
bm_mismatch<short>/4097          110 ns          110 ns         99.1 ns
bm_mismatch<short>/8191          277 ns          219 ns          206 ns
bm_mismatch<short>/8192          226 ns          214 ns          250 ns
bm_mismatch<short>/8193          226 ns          207 ns          208 ns
bm_mismatch<short>/16383         519 ns          492 ns          488 ns
bm_mismatch<short>/16384         494 ns          492 ns          492 ns
bm_mismatch<short>/16385         492 ns          488 ns          489 ns
bm_mismatch<short>/32767        1007 ns          968 ns          964 ns
bm_mismatch<short>/32768         977 ns          972 ns          970 ns
bm_mismatch<short>/32769         972 ns          962 ns          967 ns
bm_mismatch<short>/65535        1978 ns         1918 ns         1956 ns
bm_mismatch<short>/65536        1940 ns         1927 ns         1970 ns
bm_mismatch<short>/65537        1937 ns         1922 ns         1959 ns
bm_mismatch<short>/131071       4524 ns         4193 ns         4304 ns
bm_mismatch<short>/131072       4445 ns         4196 ns         4306 ns
bm_mismatch<short>/131073       4452 ns         4278 ns         4311 ns
bm_mismatch<short>/262143       9801 ns        10188 ns         9634 ns
bm_mismatch<short>/262144       9738 ns        10151 ns         9651 ns
bm_mismatch<short>/262145       9716 ns        10171 ns         9715 ns
bm_mismatch<short>/524287      19944 ns        20718 ns        20044 ns
bm_mismatch<short>/524288      21139 ns        20647 ns        20008 ns
bm_mismatch<short>/524289      21162 ns        19512 ns        20068 ns
bm_mismatch<int>/1              1.40 ns         1.84 ns         1.87 ns
bm_mismatch<int>/2              1.87 ns         2.08 ns         2.09 ns
bm_mismatch<int>/3              2.36 ns         2.31 ns         2.87 ns
bm_mismatch<int>/4              3.06 ns         2.72 ns         2.95 ns
bm_mismatch<int>/5              3.66 ns         3.37 ns         3.42 ns
bm_mismatch<int>/6              4.55 ns         3.65 ns         3.73 ns
bm_mismatch<int>/7              5.03 ns         3.93 ns         3.94 ns
bm_mismatch<int>/8              5.67 ns         1.86 ns         1.87 ns
bm_mismatch<int>/15             9.89 ns         4.41 ns         2.34 ns
bm_mismatch<int>/16             10.1 ns         2.33 ns         2.34 ns
bm_mismatch<int>/17             10.2 ns         3.34 ns         2.86 ns
bm_mismatch<int>/31             17.2 ns         5.54 ns         3.28 ns
bm_mismatch<int>/32             2.16 ns         2.15 ns         2.58 ns
bm_mismatch<int>/33             2.36 ns         3.01 ns         3.28 ns
bm_mismatch<int>/63             17.7 ns         6.50 ns         4.93 ns
bm_mismatch<int>/64             3.81 ns         3.58 ns         3.90 ns
bm_mismatch<int>/65             3.74 ns         4.36 ns         4.45 ns
bm_mismatch<int>/127            19.5 ns         9.56 ns         7.74 ns
bm_mismatch<int>/128            7.30 ns         6.41 ns         6.85 ns
bm_mismatch<int>/129            7.09 ns         7.04 ns         7.06 ns
bm_mismatch<int>/255            24.7 ns         14.8 ns         13.3 ns
bm_mismatch<int>/256            14.0 ns         12.1 ns         12.3 ns
bm_mismatch<int>/257            13.8 ns         12.7 ns         12.8 ns
bm_mismatch<int>/511            34.3 ns         26.3 ns         24.8 ns
bm_mismatch<int>/512            27.6 ns         23.6 ns         23.9 ns
bm_mismatch<int>/513            27.3 ns         24.4 ns         25.1 ns
bm_mismatch<int>/1023           62.5 ns         50.9 ns         48.3 ns
bm_mismatch<int>/1024           54.4 ns         46.1 ns         46.6 ns
bm_mismatch<int>/1025           54.2 ns         48.4 ns         47.5 ns
bm_mismatch<int>/2047            116 ns         97.8 ns         94.1 ns
bm_mismatch<int>/2048            108 ns         92.6 ns         92.4 ns
bm_mismatch<int>/2049            108 ns          104 ns         94.0 ns
bm_mismatch<int>/4095            233 ns          222 ns          205 ns
bm_mismatch<int>/4096            226 ns          223 ns          225 ns
bm_mismatch<int>/4097            221 ns          219 ns          210 ns
bm_mismatch<int>/8191            499 ns          485 ns          488 ns
bm_mismatch<int>/8192            496 ns          490 ns          495 ns
bm_mismatch<int>/8193            491 ns          485 ns          488 ns
bm_mismatch<int>/16383           982 ns          962 ns          964 ns
bm_mismatch<int>/16384           974 ns          971 ns          971 ns
bm_mismatch<int>/16385           971 ns          961 ns          968 ns
bm_mismatch<int>/32767          2003 ns         1959 ns         1920 ns
bm_mismatch<int>/32768          1996 ns         1947 ns         1928 ns
bm_mismatch<int>/32769          1990 ns         1945 ns         1926 ns
bm_mismatch<int>/65535          4434 ns         4275 ns         4312 ns
bm_mismatch<int>/65536          4437 ns         4267 ns         4321 ns
bm_mismatch<int>/65537          4442 ns         4261 ns         4321 ns
bm_mismatch<int>/131071         9673 ns         9648 ns         9465 ns
bm_mismatch<int>/131072         9667 ns         9671 ns         9465 ns
bm_mismatch<int>/131073         9661 ns         9653 ns         9464 ns
bm_mismatch<int>/262143        20595 ns        19605 ns        19064 ns
bm_mismatch<int>/262144        19894 ns        19572 ns        19009 ns
bm_mismatch<int>/262145        19851 ns        19656 ns        18999 ns
bm_mismatch<int>/524287        39556 ns        39364 ns        38131 ns
bm_mismatch<int>/524288        39678 ns        39573 ns        38183 ns
bm_mismatch<int>/524289        40168 ns        39301 ns        38121 ns
```
2024-03-29 19:29:54 +01:00
Nikolas Klauser
b68e2eba0b [libc++] Vectorize mismatch (#73255)
```
---------------------------------------------------
Benchmark                           old         new
---------------------------------------------------
bm_mismatch<char>/1           0.835 ns      2.37 ns
bm_mismatch<char>/2            1.44 ns      2.60 ns
bm_mismatch<char>/3            2.06 ns      2.83 ns
bm_mismatch<char>/4            2.60 ns      3.29 ns
bm_mismatch<char>/5            3.15 ns      3.77 ns
bm_mismatch<char>/6            3.82 ns      4.17 ns
bm_mismatch<char>/7            4.29 ns      4.52 ns
bm_mismatch<char>/8            4.78 ns      4.86 ns
bm_mismatch<char>/16           9.06 ns      7.54 ns
bm_mismatch<char>/64           31.7 ns      19.1 ns
bm_mismatch<char>/512           249 ns      8.16 ns
bm_mismatch<char>/4096         1956 ns      44.2 ns
bm_mismatch<char>/32768       15498 ns       501 ns
bm_mismatch<char>/262144     123965 ns      4479 ns
bm_mismatch<char>/1048576    495668 ns     21306 ns
bm_mismatch<short>/1          0.710 ns      2.12 ns
bm_mismatch<short>/2           1.03 ns      2.66 ns
bm_mismatch<short>/3           1.29 ns      3.56 ns
bm_mismatch<short>/4           1.68 ns      4.29 ns
bm_mismatch<short>/5           1.96 ns      5.18 ns
bm_mismatch<short>/6           2.59 ns      5.91 ns
bm_mismatch<short>/7           2.86 ns      6.63 ns
bm_mismatch<short>/8           3.19 ns      7.33 ns
bm_mismatch<short>/16          5.48 ns      13.0 ns
bm_mismatch<short>/64          16.6 ns      4.06 ns
bm_mismatch<short>/512          130 ns      13.8 ns
bm_mismatch<short>/4096         985 ns      93.8 ns
bm_mismatch<short>/32768       7846 ns      1002 ns
bm_mismatch<short>/262144     63217 ns     10637 ns
bm_mismatch<short>/1048576   251782 ns     42471 ns
bm_mismatch<int>/1            0.716 ns      1.91 ns
bm_mismatch<int>/2             1.21 ns      2.49 ns
bm_mismatch<int>/3             1.38 ns      3.46 ns
bm_mismatch<int>/4             1.71 ns      4.04 ns
bm_mismatch<int>/5             2.00 ns      4.98 ns
bm_mismatch<int>/6             2.43 ns      5.67 ns
bm_mismatch<int>/7             3.05 ns      6.38 ns
bm_mismatch<int>/8             3.22 ns      7.09 ns
bm_mismatch<int>/16            5.18 ns      12.8 ns
bm_mismatch<int>/64            16.6 ns      5.28 ns
bm_mismatch<int>/512            129 ns      25.2 ns
bm_mismatch<int>/4096          1009 ns       201 ns
bm_mismatch<int>/32768         7776 ns      2144 ns
bm_mismatch<int>/262144       62371 ns     20551 ns
bm_mismatch<int>/1048576     254750 ns     90097 ns
```
2024-03-23 15:28:22 +01:00
Nikolas Klauser
07b18c5e1b [libc++] Optimize ranges::fill{,_n} for vector<bool>::iterator (#84642)
```
------------------------------------------------------
Benchmark                          old             new
------------------------------------------------------
bm_ranges_fill_n/1             1.64 ns         3.06 ns
bm_ranges_fill_n/2             3.45 ns         3.06 ns
bm_ranges_fill_n/3             4.88 ns         3.06 ns
bm_ranges_fill_n/4             6.46 ns         3.06 ns
bm_ranges_fill_n/5             8.03 ns         3.06 ns
bm_ranges_fill_n/6             9.65 ns         3.07 ns
bm_ranges_fill_n/7             11.5 ns         3.06 ns
bm_ranges_fill_n/8             13.0 ns         3.06 ns
bm_ranges_fill_n/16            25.9 ns         3.06 ns
bm_ranges_fill_n/64             103 ns         4.62 ns
bm_ranges_fill_n/512            711 ns         4.40 ns
bm_ranges_fill_n/4096          5642 ns         9.86 ns
bm_ranges_fill_n/32768        45135 ns         33.6 ns
bm_ranges_fill_n/262144      360818 ns          243 ns
bm_ranges_fill_n/1048576    1442828 ns          982 ns
bm_ranges_fill/1               1.63 ns         3.17 ns
bm_ranges_fill/2               3.43 ns         3.28 ns
bm_ranges_fill/3               4.97 ns         3.31 ns
bm_ranges_fill/4               6.53 ns         3.27 ns
bm_ranges_fill/5               8.12 ns         3.33 ns
bm_ranges_fill/6               9.76 ns         3.32 ns
bm_ranges_fill/7               11.6 ns         3.29 ns
bm_ranges_fill/8               13.2 ns         3.26 ns
bm_ranges_fill/16              26.3 ns         3.26 ns
bm_ranges_fill/64               104 ns         4.92 ns
bm_ranges_fill/512              716 ns         4.47 ns
bm_ranges_fill/4096            5772 ns         8.21 ns
bm_ranges_fill/32768          45778 ns         33.1 ns
bm_ranges_fill/262144        351422 ns          241 ns
bm_ranges_fill/1048576      1404710 ns          965 ns
```
2024-03-17 20:00:54 +01:00
Hui
69279a8413 [libc++][test] add benchmarks for std::atomic::wait (#70571)
For the mutex vs atomic  test:

Old: `unique_lock<mutex>`
New: a lock implemented with `atomic::wait`

On 10 years old Intel Macbook, `atomic::wait` is 50% slower than `mutex`

```
Benchmark                                             Time             CPU      Time Old      Time New       CPU Old       CPU New
----------------------------------------------------------------------------------------------------------------------------------
BM_multi_thread_lock_unlock/1024                   +0.3735         +2.4497       1724726       2368935        153159        528354
BM_multi_thread_lock_unlock/2048                   +0.4174         +1.2487       3410538       4834012        435062        978311
BM_multi_thread_lock_unlock/4096                   +0.5256         +1.9824       6903783      10532681        590266       1760405
BM_multi_thread_lock_unlock/8192                   +0.5415         +0.4578      14536391      22408399       1456328       2123075
BM_multi_thread_lock_unlock/16384                  +0.5663         +0.0513      30181991      47275023       3316850       3486950
BM_multi_thread_lock_unlock/32768                  +0.5635         -0.2081      62027663      96977726       6477076       5129190
BM_multi_thread_lock_unlock/65536                  +0.5228         -0.3273     129637761     197408739      11341630       7628955
BM_multi_thread_lock_unlock/131072                 +0.4825         -0.1070     266256295     394712193      10379800       9269200
BM_multi_thread_lock_unlock/262144                 +0.4793         +0.2795     539732340     798409253      10802200      13821100
BM_multi_thread_lock_unlock/524288                 +0.5272         +0.2847    1070035132    1634124353      14523000      18657800
BM_multi_thread_lock_unlock/1048576                +0.4799         +0.3353    2125510441    3145636119      13404200      17899000
OVERALL_GEOMEAN                                    +0.4970         +0.3886             0             0             0             0
```

On Apple Arm, `atomic::wait` is 200% slower than `mutex`. And
`atomic::wait` is even slower than my 10 years old Intel CPU Macbook

```
Benchmark                                             Time             CPU      Time Old      Time New       CPU Old       CPU New
----------------------------------------------------------------------------------------------------------------------------------
BM_multi_thread_lock_unlock/1024                   +2.1811         +3.9854       2036726       6478993        119817        597334
BM_multi_thread_lock_unlock/2048                   +1.6736         +1.4301       3162161       8454415        426201       1035727
BM_multi_thread_lock_unlock/4096                   +1.1017         +0.6456       6620503      13914159        893019       1469578
BM_multi_thread_lock_unlock/8192                   +0.6688         +0.2148      12089392      20174635       1489000       1808799
BM_multi_thread_lock_unlock/16384                  +1.4217         -0.2436      19365999      46899345       2068266       1564530
BM_multi_thread_lock_unlock/32768                  +2.6161         -0.4927      31371052     113440165       3715100       1884540
BM_multi_thread_lock_unlock/65536                  +2.6286         -0.3967      54314581     197086847       5912764       3567410
BM_multi_thread_lock_unlock/131072                 +2.3554         +0.4990     103176565     346201425       9260407      13880900
BM_multi_thread_lock_unlock/262144                 +2.8780         +0.4995     182355400     707170733      16335852      24496000
BM_multi_thread_lock_unlock/524288                 +3.0280         +0.3001     360953079    1453902595      32548700      42316364
BM_multi_thread_lock_unlock/1048576                +3.7480         +1.2374     714500462    3392470417      48603455     108747000
OVERALL_GEOMEAN                                    +2.0791         +0.3874             0             0             0             0
```











For the atomic_wait test:

On my 2013 MacBook with Intel CPU

```
Run on (8 X 2300 MHz CPU s)
CPU Caches:
  L1 Data 32 KiB (x4)
  L1 Instruction 32 KiB (x4)
  L2 Unified 256 KiB (x4)
  L3 Unified 6144 KiB (x1)
Load Average: 1.95, 3.77, 4.13
-----------------------------------------------------------------------------------------------------
Benchmark                                                           Time             CPU   Iterations
-----------------------------------------------------------------------------------------------------
BM_atomic_wait_one_thread_one_atomic_wait/1024                 184455 ns       183979 ns         3760
BM_atomic_wait_one_thread_one_atomic_wait/2048                 361607 ns       360917 ns         1912
BM_atomic_wait_one_thread_one_atomic_wait/4096                 709055 ns       708326 ns          929
BM_atomic_wait_one_thread_one_atomic_wait/8192                1469063 ns      1467430 ns          488
BM_atomic_wait_one_thread_one_atomic_wait/16384               2865332 ns      2863473 ns          237
BM_atomic_wait_one_thread_one_atomic_wait/32768               5839429 ns      5834708 ns          113
BM_atomic_wait_one_thread_one_atomic_wait/65536              11460822 ns     11453183 ns           60
BM_atomic_wait_one_thread_one_atomic_wait/131072             23052804 ns     23035000 ns           30
BM_atomic_wait_one_thread_one_atomic_wait/262144             46958743 ns     46712733 ns           15
BM_atomic_wait_one_thread_one_atomic_wait/524288             93151904 ns     92977429 ns            7
BM_atomic_wait_one_thread_one_atomic_wait/1048576           186100011 ns    185888500 ns            4
BM_atomic_wait_one_thread_one_atomic_wait/2097152           364548135 ns    364280000 ns            2
BM_atomic_wait_one_thread_one_atomic_wait/4194304           747181672 ns    745056000 ns            1
BM_atomic_wait_one_thread_one_atomic_wait/8388608          1473070400 ns   1471165000 ns            1
BM_atomic_wait_one_thread_one_atomic_wait/16777216         2950352547 ns   2947373000 ns            1
BM_atomic_wait_multi_thread_one_atomic_wait/1024               668544 ns       167233 ns         4496
BM_atomic_wait_multi_thread_one_atomic_wait/2048              1384668 ns       369750 ns         1941
BM_atomic_wait_multi_thread_one_atomic_wait/4096              2851627 ns       768559 ns          995
BM_atomic_wait_multi_thread_one_atomic_wait/8192              5797669 ns      1476876 ns          526
BM_atomic_wait_multi_thread_one_atomic_wait/16384            11597952 ns      2692792 ns          260
BM_atomic_wait_multi_thread_one_atomic_wait/32768            23528028 ns      5291465 ns          142
BM_atomic_wait_multi_thread_one_atomic_wait/65536            46287247 ns      8547713 ns           87
BM_atomic_wait_multi_thread_one_atomic_wait/131072           90315848 ns     13294492 ns           61
BM_atomic_wait_multi_thread_one_atomic_wait/262144          190722393 ns     16193917 ns           36
BM_atomic_wait_multi_thread_one_atomic_wait/524288          408456684 ns     23641600 ns           10
BM_atomic_wait_multi_thread_one_atomic_wait/1048576         708809670 ns     36361900 ns           10
BM_atomic_wait_multi_thread_wait_different_atomics/1024       2116444 ns        11669 ns        10000
BM_atomic_wait_multi_thread_wait_different_atomics/2048      12435259 ns        21905 ns         1000
BM_atomic_wait_multi_thread_wait_different_atomics/4096       6393816 ns        17819 ns         1000
BM_atomic_wait_multi_thread_wait_different_atomics/8192      11930400 ns        28637 ns         1000
BM_atomic_wait_multi_thread_wait_different_atomics/16384     20987224 ns        35272 ns         1000
BM_atomic_wait_multi_thread_wait_different_atomics/32768     44335820 ns        66660 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/65536     91395912 ns       129030 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/131072   145440007 ns       165960 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/262144   368219935 ns       420800 ns           10
BM_atomic_wait_multi_thread_wait_different_atomics/524288   630106863 ns       809500 ns           10
BM_atomic_wait_multi_thread_wait_different_atomics/1048576 1138174673 ns      1093000 ns           10
```

On apple arm

```
Run on (8 X 24.1208 MHz CPU s)
CPU Caches:
  L1 Data 64 KiB (x8)
  L1 Instruction 128 KiB (x8)
  L2 Unified 4096 KiB (x2)
Load Average: 1.34, 1.58, 1.66
-----------------------------------------------------------------------------------------------------
Benchmark                                                           Time             CPU   Iterations
-----------------------------------------------------------------------------------------------------
BM_atomic_wait_one_thread_one_atomic_wait/1024                  61602 ns        61602 ns         8701
BM_atomic_wait_one_thread_one_atomic_wait/2048                 123148 ns       123146 ns         5688
BM_atomic_wait_one_thread_one_atomic_wait/4096                 246248 ns       246249 ns         2888
BM_atomic_wait_one_thread_one_atomic_wait/8192                 480373 ns       480359 ns         1455
BM_atomic_wait_one_thread_one_atomic_wait/16384                974725 ns       974721 ns          724
BM_atomic_wait_one_thread_one_atomic_wait/32768               1922185 ns      1922115 ns          355
BM_atomic_wait_one_thread_one_atomic_wait/65536               3940632 ns      3940608 ns          181
BM_atomic_wait_one_thread_one_atomic_wait/131072              7886302 ns      7886102 ns           88
BM_atomic_wait_one_thread_one_atomic_wait/262144             15393156 ns     15393000 ns           45
BM_atomic_wait_one_thread_one_atomic_wait/524288             30833221 ns     30832174 ns           23
BM_atomic_wait_one_thread_one_atomic_wait/1048576            62551936 ns     62551909 ns           11
BM_atomic_wait_one_thread_one_atomic_wait/2097152           123155625 ns    123155667 ns            6
BM_atomic_wait_one_thread_one_atomic_wait/4194304           252468180 ns    252458667 ns            3
BM_atomic_wait_one_thread_one_atomic_wait/8388608           505075604 ns    505075500 ns            2
BM_atomic_wait_one_thread_one_atomic_wait/16777216          992977209 ns    992935000 ns            1
BM_atomic_wait_multi_thread_one_atomic_wait/1024               531411 ns       239695 ns         2783
BM_atomic_wait_multi_thread_one_atomic_wait/2048              1030592 ns       484868 ns         1413
BM_atomic_wait_multi_thread_one_atomic_wait/4096              1951896 ns       922357 ns          631
BM_atomic_wait_multi_thread_one_atomic_wait/8192              3759893 ns      1952074 ns          390
BM_atomic_wait_multi_thread_one_atomic_wait/16384             7417929 ns      3458309 ns          233
BM_atomic_wait_multi_thread_one_atomic_wait/32768            14386361 ns      5590830 ns          100
BM_atomic_wait_multi_thread_one_atomic_wait/65536            29725536 ns      6521887 ns          115
BM_atomic_wait_multi_thread_one_atomic_wait/131072           60023797 ns     10766795 ns           73
BM_atomic_wait_multi_thread_one_atomic_wait/262144          120782267 ns     17532091 ns           44
BM_atomic_wait_multi_thread_one_atomic_wait/524288          242539333 ns     27506920 ns           25
BM_atomic_wait_multi_thread_one_atomic_wait/1048576         482833787 ns     53721600 ns           10
BM_atomic_wait_multi_thread_wait_different_atomics/1024       2230048 ns       626042 ns         1000
BM_atomic_wait_multi_thread_wait_different_atomics/2048       3931958 ns       837540 ns          884
BM_atomic_wait_multi_thread_wait_different_atomics/4096       6506887 ns      1127922 ns          586
BM_atomic_wait_multi_thread_wait_different_atomics/8192      10528008 ns      1651254 ns          456
BM_atomic_wait_multi_thread_wait_different_atomics/16384     18055829 ns      2066379 ns          317
BM_atomic_wait_multi_thread_wait_different_atomics/32768     29878496 ns      2875600 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/65536     50523799 ns      3193170 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/131072    85926943 ns      4121950 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/262144   154602296 ns      5879050 ns          100
BM_atomic_wait_multi_thread_wait_different_atomics/524288   279121754 ns     10063400 ns           10
BM_atomic_wait_multi_thread_wait_different_atomics/1048576  522796900 ns     12370300 ns           10
```
2024-02-21 13:43:35 +00:00
Nikolas Klauser
4e112e5c1c Reapply "[libc++] Optimize vector growing of trivially relocatable types" (#80558)
This reapplies #76657. Non-trivial elements didn't get destroyed
previously. This fixes the bug and adds tests for all the vector
insertion functions.
2024-02-04 00:28:29 +01:00
Kirill Stoimenov
2352fdd202 Revert "[libc++] Optimize vector growing of trivially relocatable types (#76657)"
Broke sanitizer bots: https://lab.llvm.org/buildbot/#/builders/5/builds/40641

This reverts commit 67eee4a029.
2024-02-02 20:43:51 +00:00
Nikolas Klauser
67eee4a029 [libc++] Optimize vector growing of trivially relocatable types (#76657)
This patch introduces a new trait to represent whether a type is
trivially
relocatable, and uses that trait to optimize the growth of a std::vector
of trivially relocatable objects.

```
--------------------------------------------------
Benchmark                           old        new
--------------------------------------------------
bm_grow<int>                    1354 ns    1301 ns
bm_grow<std::string>            5584 ns    3370 ns
bm_grow<std::unique_ptr<int>>   3506 ns    1994 ns
bm_grow<std::deque<int>>       27114 ns   27209 ns
```

This also changes to order of moving and destroying the objects when
growing the vector. This should not affect our conformance.
2024-02-02 17:13:55 +01:00
itrofimow
51e91b64d0 [libc++abi] Implement __cxa_init_primary_exception and use it to optimize std::make_exception_ptr (#65534)
This patch implements __cxa_init_primary_exception, an extension to the 
Itanium C++ ABI. This extension is already present in both libsupc++ and 
libcxxrt. This patch also starts making use of this function in 
std::make_exception_ptr: instead of going through a full throw/catch 
cycle, we are now able to initialize an exception directly, thus making 
std::make_exception_ptr around 30x faster.
2024-01-22 10:12:41 -05:00
ZijunZhaoCCK
fdd089b500 [libc++] Implement ranges::contains (#65148)
Differential Revision: https://reviews.llvm.org/D159232
```
Running ./ranges_contains.libcxx.out
Run on (10 X 24.121 MHz CPU s)
CPU Caches:
  L1 Data 64 KiB (x10)
  L1 Instruction 128 KiB (x10)
  L2 Unified 4096 KiB (x5)
Load Average: 3.37, 6.77, 5.27
--------------------------------------------------------------------
Benchmark                          Time             CPU   Iterations
--------------------------------------------------------------------
bm_contains_char/16             1.88 ns         1.87 ns    371607095
bm_contains_char/256            7.48 ns         7.47 ns     93292285
bm_contains_char/4096           99.7 ns         99.6 ns      7013185
bm_contains_char/65536          1296 ns         1294 ns       540436
bm_contains_char/1048576       23887 ns        23860 ns        29302
bm_contains_char/16777216     389420 ns       389095 ns         1796
bm_contains_int/16              7.14 ns         7.14 ns     97776288
bm_contains_int/256             90.4 ns         90.3 ns      7558089
bm_contains_int/4096            1294 ns         1290 ns       543052
bm_contains_int/65536          20482 ns        20443 ns        34334
bm_contains_int/1048576       328817 ns       327965 ns         2147
bm_contains_int/16777216     5246279 ns      5239361 ns          133
bm_contains_bool/16             2.19 ns         2.19 ns    322565780
bm_contains_bool/256            3.42 ns         3.41 ns    205025467
bm_contains_bool/4096           22.1 ns         22.1 ns     31780479
bm_contains_bool/65536           333 ns          332 ns      2106606
bm_contains_bool/1048576        5126 ns         5119 ns       135901
bm_contains_bool/16777216      81656 ns        81574 ns         8569
```

---------

Co-authored-by: Nathan Gauër <brioche@google.com>
2023-12-19 16:34:19 -08:00
Nikolas Klauser
f7407411a1 [libc++] Optimize std::find for segmented iterators (#67224)
```
--------------------------------------------------------------------------
Benchmark                                              old             new
--------------------------------------------------------------------------
bm_find<std::deque<char>>/1                        6.06 ns         10.6 ns
bm_find<std::deque<char>>/2                        15.5 ns         10.6 ns
bm_find<std::deque<char>>/3                        19.0 ns         10.6 ns
bm_find<std::deque<char>>/4                        20.8 ns         10.6 ns
bm_find<std::deque<char>>/5                        22.0 ns         10.6 ns
bm_find<std::deque<char>>/6                        23.0 ns         10.5 ns
bm_find<std::deque<char>>/7                        24.8 ns         10.7 ns
bm_find<std::deque<char>>/8                        25.7 ns         10.6 ns
bm_find<std::deque<char>>/16                       28.3 ns         10.6 ns
bm_find<std::deque<char>>/64                       44.2 ns         27.0 ns
bm_find<std::deque<char>>/512                       133 ns         37.6 ns
bm_find<std::deque<char>>/4096                      867 ns         53.1 ns
bm_find<std::deque<char>>/32768                    6838 ns          160 ns
bm_find<std::deque<char>>/262144                  52897 ns         1495 ns
bm_find<std::deque<char>>/1048576                215621 ns         6077 ns
bm_find<std::deque<short>>/1                       6.03 ns         6.28 ns
bm_find<std::deque<short>>/2                       15.8 ns         15.8 ns
bm_find<std::deque<short>>/3                       20.5 ns         20.3 ns
bm_find<std::deque<short>>/4                       21.0 ns         21.0 ns
bm_find<std::deque<short>>/5                       23.0 ns         22.1 ns
bm_find<std::deque<short>>/6                       22.6 ns         23.0 ns
bm_find<std::deque<short>>/7                       23.4 ns         23.7 ns
bm_find<std::deque<short>>/8                       24.4 ns         24.9 ns
bm_find<std::deque<short>>/16                      26.6 ns         27.2 ns
bm_find<std::deque<short>>/64                      43.2 ns         40.9 ns
bm_find<std::deque<short>>/512                      124 ns         90.7 ns
bm_find<std::deque<short>>/4096                     845 ns          525 ns
bm_find<std::deque<short>>/32768                   7273 ns         3194 ns
bm_find<std::deque<short>>/262144                 53710 ns        24385 ns
bm_find<std::deque<short>>/1048576               216086 ns        96195 ns
bm_find<std::deque<int>>/1                         6.03 ns         10.3 ns
bm_find<std::deque<int>>/2                         15.6 ns         10.3 ns
bm_find<std::deque<int>>/3                         19.1 ns         10.3 ns
bm_find<std::deque<int>>/4                         22.3 ns         10.3 ns
bm_find<std::deque<int>>/5                         23.5 ns         10.4 ns
bm_find<std::deque<int>>/6                         23.1 ns         10.3 ns
bm_find<std::deque<int>>/7                         23.7 ns         10.2 ns
bm_find<std::deque<int>>/8                         24.5 ns         10.2 ns
bm_find<std::deque<int>>/16                        27.9 ns         26.6 ns
bm_find<std::deque<int>>/64                        42.6 ns         32.2 ns
bm_find<std::deque<int>>/512                        123 ns         43.0 ns
bm_find<std::deque<int>>/4096                       874 ns         93.5 ns
bm_find<std::deque<int>>/32768                     7031 ns          751 ns
bm_find<std::deque<int>>/262144                   57723 ns         6169 ns
bm_find<std::deque<int>>/1048576                 230867 ns        35851 ns
bm_ranges_find<std::deque<char>>/1                 5.97 ns         10.6 ns
bm_ranges_find<std::deque<char>>/2                 16.0 ns         10.5 ns
bm_ranges_find<std::deque<char>>/3                 19.5 ns         10.5 ns
bm_ranges_find<std::deque<char>>/4                 21.1 ns         10.6 ns
bm_ranges_find<std::deque<char>>/5                 22.8 ns         10.5 ns
bm_ranges_find<std::deque<char>>/6                 22.8 ns         10.6 ns
bm_ranges_find<std::deque<char>>/7                 23.4 ns         10.8 ns
bm_ranges_find<std::deque<char>>/8                 24.1 ns         10.5 ns
bm_ranges_find<std::deque<char>>/16                26.9 ns         10.6 ns
bm_ranges_find<std::deque<char>>/64                50.2 ns         27.2 ns
bm_ranges_find<std::deque<char>>/512                126 ns         38.3 ns
bm_ranges_find<std::deque<char>>/4096               868 ns         53.8 ns
bm_ranges_find<std::deque<char>>/32768             6695 ns          161 ns
bm_ranges_find<std::deque<char>>/262144           54411 ns         1497 ns
bm_ranges_find<std::deque<char>>/1048576         241699 ns         6042 ns
bm_ranges_find<std::deque<short>>/1                6.39 ns         6.31 ns
bm_ranges_find<std::deque<short>>/2                15.8 ns         15.9 ns
bm_ranges_find<std::deque<short>>/3                19.0 ns         19.8 ns
bm_ranges_find<std::deque<short>>/4                20.8 ns         20.9 ns
bm_ranges_find<std::deque<short>>/5                21.8 ns         22.1 ns
bm_ranges_find<std::deque<short>>/6                23.0 ns         23.0 ns
bm_ranges_find<std::deque<short>>/7                23.2 ns         23.9 ns
bm_ranges_find<std::deque<short>>/8                23.7 ns         24.4 ns
bm_ranges_find<std::deque<short>>/16               26.6 ns         26.8 ns
bm_ranges_find<std::deque<short>>/64               43.4 ns         39.7 ns
bm_ranges_find<std::deque<short>>/512               131 ns         90.5 ns
bm_ranges_find<std::deque<short>>/4096              851 ns          523 ns
bm_ranges_find<std::deque<short>>/32768            7370 ns         3166 ns
bm_ranges_find<std::deque<short>>/262144          60778 ns        24814 ns
bm_ranges_find<std::deque<short>>/1048576        229288 ns        99273 ns
bm_ranges_find<std::deque<int>>/1                  6.43 ns         10.2 ns
bm_ranges_find<std::deque<int>>/2                  16.6 ns         10.2 ns
bm_ranges_find<std::deque<int>>/3                  19.6 ns         10.2 ns
bm_ranges_find<std::deque<int>>/4                  21.0 ns         10.2 ns
bm_ranges_find<std::deque<int>>/5                  21.9 ns         10.4 ns
bm_ranges_find<std::deque<int>>/6                  22.7 ns         10.2 ns
bm_ranges_find<std::deque<int>>/7                  23.9 ns         10.2 ns
bm_ranges_find<std::deque<int>>/8                  23.8 ns         10.2 ns
bm_ranges_find<std::deque<int>>/16                 27.2 ns         27.1 ns
bm_ranges_find<std::deque<int>>/64                 42.4 ns         32.4 ns
bm_ranges_find<std::deque<int>>/512                 122 ns         43.0 ns
bm_ranges_find<std::deque<int>>/4096                895 ns         93.7 ns
bm_ranges_find<std::deque<int>>/32768              6890 ns          756 ns
bm_ranges_find<std::deque<int>>/262144            54025 ns         6102 ns
bm_ranges_find<std::deque<int>>/1048576          221558 ns        32783 ns
```
2023-12-15 17:10:16 +01:00
Hui
36dd743212 [libc++][test] add more benchmarks for stop_token (#69590) 2023-12-02 16:14:38 +00:00
Louis Dionne
1a5af34e6f [libc++] Speed up classic locale (take 2) (#73533)
Locale objects use atomic reference counting, which may be very
expensive in parallel applications. The classic locale is used by
default by all streams and can be very contended. But it's never
destroyed, so the reference counting is also completely pointless on the
classic locale. Currently ~70% of time in the parallel stringstream
benchmarks is spent in locale ctor/dtor. And the execution radically
slows down with more threads.

Avoid reference counting on the classic locale. With this change
parallel benchmarks start to scale with threads.

This is a re-application of f8afc53d64 (aka PR #72112) which was
reverted in 4e0c48b907 because it broke the sanitizer builds due
to an initialization order fiasco. This issue has now been fixed by
ensuring that the locale is constinit'ed.

Co-authored-by: Dmitry Vyukov <dvyukov@google.com>
2023-11-29 09:31:05 -05:00
Louis Dionne
ac8c9f1e39 [libc++] Properly guard std::filesystem with >= C++17 (#72701)
<filesystem> is a C++17 addition. In C++11 and C++14 modes, we actually
have all the code for <filesystem> but it is hidden behind a non-inline
namespace __fs so it is not accessible. Instead of doing this unusual
dance, just guard the code for filesystem behind a classic C++17 check
like we normally do.
2023-11-28 18:41:59 -05:00
Kirill Stoimenov
4e0c48b907 Revert "[libc++] Speed up classic locale (#72112)"
Looks like it broke the ASAN build: https://lab.llvm.org/buildbot/#/builders/168/builds/17053/steps/9/logs/stdio

This reverts commit f8afc53d64.
2023-11-27 20:21:58 +00:00
Dmitry Vyukov
f8afc53d64 [libc++] Speed up classic locale (#72112)
Locale objects use atomic reference counting, which may be very
expensive in parallel applications. The classic locale is used by
default by all streams and can be very contended. But it's never
destroyed, so the reference counting is also completely pointless on the
classic locale. Currently ~70% of time in the parallel stringstream
benchmarks is spent in locale ctor/dtor. And the execution radically
slows down with more threads.

Avoid reference counting on the classic locale. With this change
parallel benchmarks start to scale with threads.

Co-authored-by: Louis Dionne <ldionne.2@gmail.com>

```
                              │   baseline   │    optimized                            │
                              │    sec/op    │    sec/op      vs base                  │
Istream_numbers/0/threads:1      4.672µ ± 0%   4.419µ ± 0%     -5.42% (p=0.000 n=30+39)
Istream_numbers/0/threads:72   539.817µ ± 0%   9.842µ ± 1%    -98.18% (p=0.000 n=30+40)
Istream_numbers/1/threads:1      4.890µ ± 0%   4.750µ ± 0%     -2.85% (p=0.000 n=30+40)
Istream_numbers/1/threads:72     66.44µ ± 1%   10.14µ ± 1%    -84.74% (p=0.000 n=30+40)
Istream_numbers/2/threads:1      4.888µ ± 0%   4.746µ ± 0%     -2.92% (p=0.000 n=30+40)
Istream_numbers/2/threads:72     494.8µ ± 0%   410.2µ ± 1%    -17.11% (p=0.000 n=30+40)
Istream_numbers/3/threads:1      4.697µ ± 0%   4.695µ ± 5%          ~ (p=0.391 n=30+37)
Istream_numbers/3/threads:72     421.5µ ± 7%   421.9µ ± 9%          ~ (p=0.665 n=30)
Ostream_number/0/threads:1       183.0n ± 0%   141.0n ± 2%    -22.95% (p=0.000 n=30)
Ostream_number/0/threads:72    24196.5n ± 1%   343.5n ± 3%    -98.58% (p=0.000 n=30)
Ostream_number/1/threads:1       250.0n ± 0%   196.0n ± 2%    -21.60% (p=0.000 n=30)
Ostream_number/1/threads:72    16260.5n ± 0%   407.0n ± 2%    -97.50% (p=0.000 n=30)
Ostream_number/2/threads:1       254.0n ± 0%   196.0n ± 1%    -22.83% (p=0.000 n=30)
Ostream_number/2/threads:72      28.49µ ± 1%   18.89µ ± 5%    -33.72% (p=0.000 n=30)
Ostream_number/3/threads:1       185.0n ± 0%   185.0n ± 0%      0.00% (p=0.017 n=30)
Ostream_number/3/threads:72      19.38µ ± 4%   19.33µ ± 5%          ~ (p=0.425 n=30)
```
2023-11-27 07:00:21 +01:00
Nikolas Klauser
c81bfc61da [libc++] Optimize for_each for segmented iterators
```
---------------------------------------------------
Benchmark                       old             new
---------------------------------------------------
bm_for_each/1               3.00 ns         2.98 ns
bm_for_each/2               4.53 ns         4.57 ns
bm_for_each/3               5.82 ns         5.82 ns
bm_for_each/4               6.94 ns         6.91 ns
bm_for_each/5               7.55 ns         7.75 ns
bm_for_each/6               7.06 ns         7.45 ns
bm_for_each/7               6.69 ns         7.14 ns
bm_for_each/8               6.86 ns         4.06 ns
bm_for_each/16              11.5 ns         5.73 ns
bm_for_each/64              43.7 ns         4.06 ns
bm_for_each/512              356 ns         7.98 ns
bm_for_each/4096            2787 ns         53.6 ns
bm_for_each/32768          20836 ns          438 ns
bm_for_each/262144        195362 ns         4945 ns
bm_for_each/1048576       685482 ns        19822 ns
```

Reviewed By: ldionne, Mordante, #libc

Spies: bgraur, sberg, arichardson, libcxx-commits

Differential Revision: https://reviews.llvm.org/D151274
2023-11-14 23:55:24 +01:00
Hui
511236e074 [libc++][test] Add stop_token benchmark (#69117)
This is transforming the `stop_token` benchmark that Lewis Baker had
created into Google
Bench
https://reviews.llvm.org/D154702
2023-10-16 21:49:37 +01:00
Louis Dionne
36bb134ac7 [libc++] Use -nostdlib++ on GCC unconditionally (#68832)
We support GCC 13, which supports the flag. This allows simplifying the
CMake logic around the use of -nostdlib++. Note that there are other
places where we don't assume -nostdlib++ yet in the build, but this
patch is intentionally trying to be small because this part of our CMake
is pretty tricky.
2023-10-13 11:53:57 -07:00
Nikolas Klauser
a9138cdb36 [libc++] Optimize ranges::count for __bit_iterators
```
---------------------------------------------------------------
Benchmark                                    old            new
---------------------------------------------------------------
bm_vector_bool_count/1                   1.92 ns        1.92 ns
bm_vector_bool_count/2                   1.92 ns        1.92 ns
bm_vector_bool_count/3                   1.92 ns        1.92 ns
bm_vector_bool_count/4                   1.92 ns        1.92 ns
bm_vector_bool_count/5                   1.92 ns        1.92 ns
bm_vector_bool_count/6                   1.92 ns        1.92 ns
bm_vector_bool_count/7                   1.92 ns        1.92 ns
bm_vector_bool_count/8                   1.92 ns        1.92 ns
bm_vector_bool_count/16                  1.92 ns        1.92 ns
bm_vector_bool_count/64                  2.24 ns        2.25 ns
bm_vector_bool_count/512                 3.19 ns        3.20 ns
bm_vector_bool_count/4096                14.1 ns        12.3 ns
bm_vector_bool_count/32768               84.0 ns        83.6 ns
bm_vector_bool_count/262144               664 ns         661 ns
bm_vector_bool_count/1048576             2623 ns        2628 ns
bm_vector_bool_ranges_count/1            1.07 ns        1.92 ns
bm_vector_bool_ranges_count/2            1.65 ns        1.92 ns
bm_vector_bool_ranges_count/3            2.27 ns        1.92 ns
bm_vector_bool_ranges_count/4            2.68 ns        1.92 ns
bm_vector_bool_ranges_count/5            3.33 ns        1.92 ns
bm_vector_bool_ranges_count/6            3.99 ns        1.92 ns
bm_vector_bool_ranges_count/7            4.67 ns        1.92 ns
bm_vector_bool_ranges_count/8            5.19 ns        1.92 ns
bm_vector_bool_ranges_count/16           11.1 ns        1.92 ns
bm_vector_bool_ranges_count/64           52.2 ns        2.24 ns
bm_vector_bool_ranges_count/512           452 ns        3.20 ns
bm_vector_bool_ranges_count/4096         3577 ns        12.1 ns
bm_vector_bool_ranges_count/32768       28725 ns        83.7 ns
bm_vector_bool_ranges_count/262144     229676 ns         662 ns
bm_vector_bool_ranges_count/1048576    905574 ns        2625 ns
```

Reviewed By: #libc, ldionne

Spies: arichardson, ldionne, libcxx-commits

Differential Revision: https://reviews.llvm.org/D156956
2023-10-06 22:58:41 +02:00
Martijn Vels
6fe4e033f0 [libc++] Optimize vector push_back to avoid continuous load and store of end pointer
Credits: this change is based on analysis and a proof of concept by
gerbens@google.com.

Before, the compiler loses track of end as 'this' and other references
possibly escape beyond the compiler's scope. This can be see in the
generated assembly:

     16.28 │200c80:   mov     %r15d,(%rax)
     60.87 │200c83:   add     $0x4,%rax
           │200c87:   mov     %rax,-0x38(%rbp)
      0.03 │200c8b: → jmpq    200d4e
      ...
      ...
      1.69 │200d4e:   cmp     %r15d,%r12d
           │200d51: → je      200c40
     16.34 │200d57:   inc     %r15d
      0.05 │200d5a:   mov     -0x38(%rbp),%rax
      3.27 │200d5e:   mov     -0x30(%rbp),%r13
      1.47 │200d62:   cmp     %r13,%rax
           │200d65: → jne     200c80

We fix this by always explicitly storing the loaded local and pointer
back at the end of push back. This generates some slight source 'noise',
but creates nice and compact fast path code, i.e.:

     32.64 │200760:   mov    %r14d,(%r12)
      9.97 │200764:   add    $0x4,%r12
      6.97 │200768:   mov    %r12,-0x38(%rbp)
     32.17 │20076c:   add    $0x1,%r14d
      2.36 │200770:   cmp    %r14d,%ebx
           │200773: → je     200730
      8.98 │200775:   mov    -0x30(%rbp),%r13
      6.75 │200779:   cmp    %r13,%r12
           │20077c: → jne    200760

Now there is a single store for the push_back value (as before), and a
single store for the end without a reload (dependency).

For fully local vectors, (i.e., not referenced elsewhere), the capacity
load and store inside the loop could also be removed, but this requires
more substantial refactoring inside vector.

Differential Revision: https://reviews.llvm.org/D80588
2023-10-02 09:12:37 -04:00
Konstantin Varlamov
dd788af74a Reapply "[libc++][ranges] Add benchmarks for the from_range constructors of vector and deque." (#67753)
This reverts commit 10edd5d943 and guards
against older versions of GCC to work around the problem.
2023-09-29 10:27:20 -04:00
Aaron Ballman
10edd5d943 Revert "[libc++][ranges] Add benchmarks for the from_range constructors of vector and deque."
This reverts commit 390ac82317.

It broke the sphinx publish bots for our documentation:
https://lab.llvm.org/buildbot/#/builders/242/builds/1130

because that machine has GCC 9.4.0 which does not know about C++23
2023-09-25 10:40:51 -04:00
Jake Egan
1abff08e9e [AIX] cxx_std_23 is currently not a known feature to ibm-clang (#66952)
Temporary workaround for the following CMake error:
```
CMake Error in /llvm/libcxx/benchmarks/CMakeLists.txt:
The compiler feature "cxx_std_23" is not known to CXX compiler
"IBMClang"
```
2023-09-21 10:34:07 -04:00
Louis Dionne
8bbcc6d548 [libc++] Add test coverage for unordered containers comparison (#66692)
This patch is a melting pot of changes picked up from
https://llvm.org/D61878. It adds a few tests checking corner cases of
unordered containers comparison and adds benchmarks for a few
unordered_set operations.
2023-09-21 05:11:49 -04:00
Zijun Zhao
0218ea4aaa [libc++] Implement ranges::ends_with
Reviewed By: #libc, var-const

Differential Revision: https://reviews.llvm.org/D150831
2023-09-18 11:56:10 -07:00
Dmitry Ilvokhin
3df9c2984b [libc++] Fix minor warnings in libcxx benchmarks
This fixes some unused variable and "comparison of integers of different
signs" warnings in the benchmarks.

Differential Revision: https://reviews.llvm.org/D156613
2023-09-13 17:05:56 -04:00
Louis Dionne
d671126ad0 [libc++][NFC] Remove stray #if 1 that was probably a debugging leftover 2023-09-12 17:19:28 -04:00
Sirui Mu
679c0b48d7 [libc++abi] Refactor around __dynamic_cast
This commit contains refactorings around __dynamic_cast without changing
its behavior. Some important changes include:

- Refactor __dynamic_cast into various small helper functions;
- Move dynamic_cast_stress.pass.cpp to libcxx/benchmarks and refactor
  it into a benchmark. The benchmark performance numbers are updated
  as well.

Differential Revision: https://reviews.llvm.org/D138006
2023-09-08 11:47:24 -04:00
varconst
390ac82317 [libc++][ranges] Add benchmarks for the from_range constructors of vector and deque.
Differential Revision: https://reviews.llvm.org/D150747
2023-09-05 15:57:45 -07:00
Nikolas Klauser
68b1035965 [libc++][PSTL] Add a __parallel_sort implementation to libdispatch
Reviewed By: #libc, ldionne

Spies: ldionne, libcxx-commits

Differential Revision: https://reviews.llvm.org/D155136
2023-08-15 12:20:40 -07:00
Edoardo Sanguineti
66bb6b4fda [libc++] Optimize internal function in <system_error>
In the event the internal function __init is called with an empty string the code will take unnecessary extra steps, in addition, the code generated might be overall greater because, to my understanding, when initializing a string with an empty `const char*` "" (like in this case), the compiler might be unable to deduce the string is indeed empty at compile time and more code is generated.

The goal of this patch is to make a new internal function that will accept just an error code skipping the empty string argument. It should skip the unnecessary steps and in the event `if (ec)` is `false`, it will return an empty string using the correct ctor, avoiding any extra code generation issues.

After the conversation about this patch matured in the libcxx channel on the LLVM Discord server, the patch was analyzed quickly with "Compiler Explorer" and other tools and it was discovered that it does indeed reduce the amount of code generated when using the latest stable clang version (16) which in turn produces faster code.

This patch targets LLVM 18 as it will break the ABI by addressing https://github.com/llvm/llvm-project/issues/63985

Benchmark tests run on other machines as well show in the best case, that the new version without the extra string as an argument performs 10 times faster.
On the buildkite CI run it shows the new code takes less CPU time as well.
In conclusion, the new code should also just appear cleaner because there are fewer checks to do when there is no message.

Reviewed By: #libc, philnik

Spies: emaste, nemanjai, philnik, libcxx-commits

Differential Revision: https://reviews.llvm.org/D155820
2023-08-11 13:08:45 -07:00
Nikolas Klauser
8670b53e11 [libc++] Optimize ranges::find for vector<bool>
Benchmark results:
```
----------------------------------------------------------------
Benchmark                                    old             new
----------------------------------------------------------------
bm_vector_bool_ranges_find/1             5.64 ns         6.08 ns
bm_vector_bool_ranges_find/2             16.5 ns         6.03 ns
bm_vector_bool_ranges_find/3             20.3 ns         6.07 ns
bm_vector_bool_ranges_find/4             22.2 ns         6.08 ns
bm_vector_bool_ranges_find/5             23.5 ns         6.05 ns
bm_vector_bool_ranges_find/6             24.4 ns         6.10 ns
bm_vector_bool_ranges_find/7             26.7 ns         6.10 ns
bm_vector_bool_ranges_find/8             25.0 ns         6.08 ns
bm_vector_bool_ranges_find/16            27.9 ns         6.07 ns
bm_vector_bool_ranges_find/64            44.5 ns         5.35 ns
bm_vector_bool_ranges_find/512            243 ns         25.7 ns
bm_vector_bool_ranges_find/4096          1858 ns         35.6 ns
bm_vector_bool_ranges_find/32768        15461 ns         93.5 ns
bm_vector_bool_ranges_find/262144      126462 ns          571 ns
bm_vector_bool_ranges_find/1048576     497736 ns         2272 ns
```

Reviewed By: #libc, Mordante

Spies: var-const, Mordante, libcxx-commits

Differential Revision: https://reviews.llvm.org/D156039
2023-08-01 10:28:25 -07:00
Dmitry Ilvokhin
78addb2c32 Use hash value checks optimizations consistently
There are couple of optimizations of `__hash_table::find` which are applicable
to other places like `__hash_table::__node_insert_unique_prepare` and
`__hash_table::__emplace_unique_key_args`.

```
for (__nd = __nd->__next_; __nd != nullptr &&
    (__nd->__hash() == __hash
    // ^^^^^^^^^^^^^^^^^^^^^^
    //         (1)
      || std::__constrain_hash(__nd->__hash(), __bc) == __chash);
                                               __nd = __nd->__next_)
{
    if ((__nd->__hash() == __hash)
    // ^^^^^^^^^^^^^^^^^^^^^^^^^^
    //           (2)
        && key_eq()(__nd->__upcast()->__value_, __k))
        return iterator(__nd, this);
}
```

(1): We can avoid expensive modulo operations from `std::__constrain_hash` if
hashes matched. This one is from commit 6a411472e3.
(2): We can avoid `key_eq` calls if hashes didn't match. Commit:
318d35a7bc.

Both of them are applicable for insert and emplace methods.

Results of unordered_set_operations benchmark:

```
Comparing /tmp/main to /tmp/hashtable-hash-value-optimization
Benchmark                                                                 Time             CPU      Time Old      Time New       CPU Old       CPU New
------------------------------------------------------------------------------------------------------------------------------------------------------
BM_Hash/uint32_random_std_hash/1024                                    -0.0127         -0.0127          1511          1492          1508          1489
BM_Hash/uint32_random_custom_hash/1024                                 +0.0012         +0.0013          1370          1371          1367          1369
BM_Hash/uint32_top_std_hash/1024                                       -0.0027         -0.0028          1502          1497          1498          1494
BM_Hash/uint32_top_custom_hash/1024                                    +0.0033         +0.0032          1368          1373          1365          1370
BM_InsertValue/unordered_set_uint32/1024                               +0.0267         +0.0266         36421         37392         36350         37318
BM_InsertValue/unordered_set_uint32_sorted/1024                        +0.0230         +0.0229         28247         28897         28193         28837
BM_InsertValue/unordered_set_top_bits_uint32/1024                      +0.0492         +0.0491         31012         32539         30952         32472
BM_InsertValueRehash/unordered_set_top_bits_uint32/1024                +0.0523         +0.0520         62905         66197         62780         66043
BM_InsertValue/unordered_set_string/1024                               -0.0252         -0.0253        300762        293189        299805        292221
BM_InsertValueRehash/unordered_set_string/1024                         -0.0932         -0.0920        332924        301882        331276        300810
BM_InsertValue/unordered_set_prefixed_string/1024                      -0.0578         -0.0577        314239        296072        313222        295137
BM_InsertValueRehash/unordered_set_prefixed_string/1024                -0.0986         -0.0985        336091        302950        334982        301995
BM_Find/unordered_set_random_uint64/1024                               -0.1416         -0.1417         16075         13798         16041         13769
BM_FindRehash/unordered_set_random_uint64/1024                         -0.0105         -0.0105          5900          5838          5889          5827
BM_Find/unordered_set_sorted_uint64/1024                               +0.0014         +0.0014          2813          2817          2807          2811
BM_FindRehash/unordered_set_sorted_uint64/1024                         -0.0247         -0.0249          5863          5718          5851          5706
BM_Find/unordered_set_sorted_uint128/1024                              +0.0113         +0.0112         15570         15746         15539         15713
BM_FindRehash/unordered_set_sorted_uint128/1024                        +0.0438         +0.0441          6917          7220          6902          7206
BM_Find/unordered_set_sorted_uint32/1024                               -0.0020         -0.0020          3098          3091          3092          3085
BM_FindRehash/unordered_set_sorted_uint32/1024                         +0.0570         +0.0569          5377          5684          5368          5673
BM_Find/unordered_set_sorted_large_uint64/1024                         +0.0081         +0.0081          3594          3623          3587          3616
BM_FindRehash/unordered_set_sorted_large_uint64/1024                   -0.0542         -0.0540          6154          5820          6140          5808
BM_Find/unordered_set_top_bits_uint64/1024                             -0.0061         -0.0061         10440         10377         10417         10353
BM_FindRehash/unordered_set_top_bits_uint64/1024                       +0.0131         +0.0128          5852          5928          5840          5914
BM_Find/unordered_set_string/1024                                      -0.0352         -0.0349        189037        182384        188389        181809
BM_FindRehash/unordered_set_string/1024                                -0.0309         -0.0311        180718        175142        180141        174532
BM_Find/unordered_set_prefixed_string/1024                             -0.0559         -0.0557        190853        180177        190251        179659
BM_FindRehash/unordered_set_prefixed_string/1024                       -0.0563         -0.0561        182396        172136        181797        171602
BM_Rehash/unordered_set_string_arg/1024                                -0.0244         -0.0241         27052         26393         26989         26339
BM_Rehash/unordered_set_int_arg/1024                                   -0.0410         -0.0410         19582         18779         19539         18738
BM_InsertDuplicate/unordered_set_int/1024                              +0.0023         +0.0025         12168         12196         12142         12173
BM_InsertDuplicate/unordered_set_string/1024                           -0.0505         -0.0504        189238        179683        188648        179133
BM_InsertDuplicate/unordered_set_prefixed_string/1024                  -0.0989         -0.0987        198893        179222        198263        178702
BM_EmplaceDuplicate/unordered_set_int/1024                             -0.0175         -0.0173         12674         12452         12646         12427
BM_EmplaceDuplicate/unordered_set_string/1024                          -0.0559         -0.0557        190104        179481        189492        178934
BM_EmplaceDuplicate/unordered_set_prefixed_string/1024                 -0.1111         -0.1110        201233        178870        200608        178341
BM_InsertDuplicate/unordered_set_int_insert_arg/1024                   -0.0747         -0.0745         12993         12022         12964         11997
BM_InsertDuplicate/unordered_set_string_insert_arg/1024                -0.0584         -0.0583        191489        180311        190864        179731
BM_EmplaceDuplicate/unordered_set_int_insert_arg/1024                  -0.0807         -0.0804         35946         33047         35866         32982
BM_EmplaceDuplicate/unordered_set_string_arg/1024                      -0.0312         -0.0310        321623        311601        320559        310637
OVERALL_GEOMEAN                                                        -0.0276         -0.0275             0             0             0             0
```

Time differences looks more like noise to me. But if we want to have this
optimizations in `find`, we probably want them in `insert` and `emplace` as
well.

Reviewed By: #libc, Mordante

Differential Revision: https://reviews.llvm.org/D140779
2023-07-04 21:01:08 +02:00
Louis Dionne
5aa03b648b [libc++][NFC] Apply clang-format on large parts of the code base
This commit does a pass of clang-format over files in libc++ that
don't require major changes to conform to our style guide, or for
which we're not overly concerned about conflicting with in-flight
patches or hindering the git blame.

This roughly covers:
- benchmarks
- range algorithms
- concepts
- type traits

I did a manual verification of all the changes, and in particular I
applied clang-format on/off annotations in a few places where the
result was less readable after than before. This was not necessary
in a lot of places, however I did find that clang-format had pretty
bad taste when it comes to formatting concepts.

Differential Revision: https://reviews.llvm.org/D153140
2023-06-19 11:19:51 -04:00
Mark de Wever
f26b43fa5c [libc++] Removes CMake work-arounds.
CMake older than 3.20.0 is no longer supported.
This removes work-arounds for no longer supported versions.

Reviewed By: #libc, jloser, philnik

Differential Revision: https://reviews.llvm.org/D152099
2023-06-06 08:10:31 +02:00
Nikolas Klauser
d965960fcf Revert "[libc++] Optimize for_each for segmented iterators"
This reverts commit b1dc43aa3a.
2023-06-05 10:00:02 -07:00
Nikolas Klauser
b1dc43aa3a [libc++] Optimize for_each for segmented iterators
```
---------------------------------------------------
Benchmark                       old             new
---------------------------------------------------
bm_for_each/1               3.00 ns         2.98 ns
bm_for_each/2               4.53 ns         4.57 ns
bm_for_each/3               5.82 ns         5.82 ns
bm_for_each/4               6.94 ns         6.91 ns
bm_for_each/5               7.55 ns         7.75 ns
bm_for_each/6               7.06 ns         7.45 ns
bm_for_each/7               6.69 ns         7.14 ns
bm_for_each/8               6.86 ns         4.06 ns
bm_for_each/16              11.5 ns         5.73 ns
bm_for_each/64              43.7 ns         4.06 ns
bm_for_each/512              356 ns         7.98 ns
bm_for_each/4096            2787 ns         53.6 ns
bm_for_each/32768          20836 ns          438 ns
bm_for_each/262144        195362 ns         4945 ns
bm_for_each/1048576       685482 ns        19822 ns
```

Reviewed By: ldionne, Mordante, #libc

Spies: arichardson, libcxx-commits

Differential Revision: https://reviews.llvm.org/D151274
2023-05-31 18:15:25 -07:00
Nikolas Klauser
1fd08edd58 [libc++] Forward to std::{,w}memchr in std::find
Reviewed By: #libc, ldionne

Spies: Mordante, libcxx-commits, ldionne, mikhail.ramalho

Differential Revision: https://reviews.llvm.org/D144394
2023-05-25 07:59:50 -07:00
Tobias Hieta
7bfaa0f09d [NFC][Py Reformat] Reformat python files in libcxx/libcxxabi
This is an ongoing series of commits that are reformatting our
Python code.

Reformatting is done with `black`.

If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.

If you run into any problems, post to discourse about it and
we will try to help.

RFC Thread below:

https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style

Reviewed By: #libc, kwk, Mordante

Differential Revision: https://reviews.llvm.org/D150763
2023-05-25 11:15:34 +02:00
AdityaK
63a2b206fa [libc++, std::vector] call the optimized version of __uninitialized_allocator_copy for trivial types
See: https://github.com/llvm/llvm-project/issues/61987

Fix suggested by: @philnik and @var-const

Reviewers: philnik, ldionne, EricWF, var-const

Differential Revision: https://reviews.llvm.org/D147741

Testing:
ninja check-cxx check-clang check-llvm

Benchmark Testcases (BM_CopyConstruct, and BM_Assignment) added.

performance improvement:

Run on (8 X 4800 MHz CPU s)
CPU Caches:
  L1 Data 48 KiB (x4)
  L1 Instruction 32 KiB (x4)
  L2 Unified 1280 KiB (x4)
  L3 Unified 12288 KiB (x1)
Load Average: 1.66, 3.02, 2.43

Comparing build-runtimes-base/libcxx/benchmarks/vector_operations.libcxx.out to build-runtimes/libcxx/benchmarks/vector_operations.libcxx.out
Benchmark                                                   Time             CPU      Time Old      Time New       CPU Old       CPU New
----------------------------------------------------------------------------------------------------------------------------------------
BM_ConstructSize/vector_byte/5140480                     +0.0362         +0.0362        116906        121132        116902        121131
BM_CopyConstruct/vector_int/5140480                      -0.4563         -0.4577       1755224        954241       1755330        951987
BM_Assignment/vector_int/5140480                         -0.0222         -0.0220        990045        968095        989917        968125
BM_ConstructSizeValue/vector_byte/5140480                +0.0308         +0.0307        116970        120567        116977        120573
BM_ConstructIterIter/vector_char/1024                    -0.0831         -0.0831            19            17            19            17
BM_ConstructIterIter/vector_size_t/1024                  +0.0129         +0.0131            88            89            88            89
BM_ConstructIterIter/vector_string/1024                  -0.0064         -0.0018         54455         54109         54208         54112
OVERALL_GEOMEAN                                          -0.0845         -0.0842             0             0             0             0

FYI, the perf improvements for BM_CopyConstruct due to this patch is mostly subsumed by the https://reviews.llvm.org/D149826. However this patch still adds value by converting copy to memmove (the second testcase).

Before the patch:

```
define linkonce_odr dso_local void @_ZNSt3__16vectorIiNS_9allocatorIiEEE18__construct_at_endIPiS5_EEvT_T0_m(ptr noundef nonnull align 8 dereferenceable(24) %0, ptr noundef %1, ptr noundef %2, i64 noundef %3) local_unnamed_addr #4 comdat align 2 {
  %5 = getelementptr inbounds %"class.std::__1::vector", ptr %0, i64 0, i32 1
  %6 = load ptr, ptr %5, align 8, !tbaa !12
  %7 = icmp eq ptr %1, %2
  br i1 %7, label %16, label %8

8:                                                ; preds = %4, %8
  %9 = phi ptr [ %13, %8 ], [ %1, %4 ]
  %10 = phi ptr [ %14, %8 ], [ %6, %4 ]
  %11 = icmp ne ptr %10, null
  tail call void @llvm.assume(i1 %11)
  %12 = load i32, ptr %9, align 4, !tbaa !14
  store i32 %12, ptr %10, align 4, !tbaa !14
  %13 = getelementptr inbounds i32, ptr %9, i64 1
  %14 = getelementptr inbounds i32, ptr %10, i64 1
  %15 = icmp eq ptr %13, %2
  br i1 %15, label %16, label %8, !llvm.loop !16

16:                                               ; preds = %8, %4
  %17 = phi ptr [ %6, %4 ], [ %14, %8 ]
  store ptr %17, ptr %5, align 8, !tbaa !12
  ret void
}
```

After the patch:
```
define linkonce_odr dso_local void @_ZNSt3__16vectorIiNS_9allocatorIiEEE18__construct_at_endIPiS5_EEvT_T0_m(ptr noundef nonnull align 8 dereferenceable(24) %0, ptr noundef %1, ptr noundef %2, i64 noundef %3) local_unnamed_addr #4 comdat align 2 {
  %5 = getelementptr inbounds %"class.std::__1::vector", ptr %0, i64 0, i32 1
  %6 = load ptr, ptr %5, align 8, !tbaa !12
  %7 = ptrtoint ptr %2 to i64
  %8 = ptrtoint ptr %1 to i64
  %9 = sub i64 %7, %8
  %10 = ashr exact i64 %9, 2
  tail call void @llvm.memmove.p0.p0.i64(ptr align 4 %6, ptr align 4 %1, i64 %9, i1 false)
  %11 = getelementptr inbounds i32, ptr %6, i64 %10
  store ptr %11, ptr %5, align 8, !tbaa !12
  ret void
}
```

This is due to the optimized version of uninitialized_allocator_copy function.
2023-05-24 13:40:53 -07:00
Sirui Mu
c9d475c937 [libc++abi] Improve performance of __dynamic_cast
The original `__dynamic_cast` implementation does not use the ABI-provided `src2dst_offset` parameter which helps improve performance on the hot paths. This patch improves the performance on the hot paths in `__dynamic_cast` by leveraging hints provided by the `src2dst_offset` parameter. This patch also includes a performance benchmark suite for the `__dynamic_cast` implementation.

Reviewed By: philnik, ldionne, #libc, #libc_abi, avogelsgesang

Spies: mikhail.ramalho, avogelsgesang, xingxue, libcxx-commits

Differential Revision: https://reviews.llvm.org/D138005
2023-03-19 10:04:34 +01:00
Nikolas Klauser
aff3cdc604 [libc++] Optimize std::ranges::{min, max} for types that are cheap to copy
Don't forward to `min_element` for small types that are trivially copyable, and instead use a naive loop that keeps track of the smallest element (as opposed to an iterator to the smallest element). This allows the compiler to vectorize the loop in some cases.

Reviewed By: #libc, ldionne

Spies: ldionne, libcxx-commits

Differential Revision: https://reviews.llvm.org/D143596
2023-03-11 16:28:24 +01:00
Nikolas Klauser
b4ecfd3c46 [libc++] Forward to std::memcmp for trivially comparable types in equal
Reviewed By: #libc, ldionne

Spies: ldionne, Mordante, libcxx-commits

Differential Revision: https://reviews.llvm.org/D139554
2023-02-21 17:11:21 +01:00
Adrian Vogelsgesang
2a06757a20 [libc++][spaceship] Implement lexicographical_compare_three_way
The implementation makes use of the freedom added by LWG 3410. We have
two variants of this algorithm:
* a fast path for random access iterators: This fast path computes the
  maximum number of loop iterations up-front and does not compare the
  iterators against their limits on every loop iteration.
* A basic implementation for all other iterators: This implementation
  compares the iterators against their limits in every loop iteration.
  However, it still takes advantage of the freedom added by LWG 3410 to
  avoid unnecessary additional iterator comparisons, as originally
  specified by P1614R2.

https://godbolt.org/z/7xbMEen5e shows the benefit of the fast path:
The hot loop generated of `lexicographical_compare_three_way3` is
more tight than for `lexicographical_compare_three_way1`. The added
benchmark illustrates how this leads to a 30% - 50% performance
improvement on integer vectors.

Implements part of P1614R2 "The Mothership has Landed"

Fixes LWG 3410 and LWG 3350

Differential Revision: https://reviews.llvm.org/D131395
2023-02-12 14:51:08 -08:00
Nikolas Klauser
21f4232dd9 [libc++] Enable segmented iterator optimizations for join_view::iterator
Reviewed By: ldionne, #libc

Spies: libcxx-commits

Differential Revision: https://reviews.llvm.org/D138413
2023-01-20 07:55:58 +01:00
Nikolas Klauser
c90801457f [libc++] Refactor deque::iterator algorithm optimizations
This has multiple benefits:
- The optimizations are also performed for the `ranges::` versions of the algorithms
- Code duplication is reduced
- it is simpler to add this optimization for other segmented iterators,
  like `ranges::join_view::iterator`
- Algorithm code is removed from `<deque>`

Reviewed By: ldionne, huixie90, #libc

Spies: mstorsjo, sstefan1, EricWF, libcxx-commits, mgorny

Differential Revision: https://reviews.llvm.org/D132505
2023-01-19 20:11:43 +01:00
Nikolas Klauser
549a5fd0b7 [libc++] Make pmr::monotonic_buffer_resource bump down
Bumping down is significantly faster than bumping up. This is ABI breaking, but the ABI of `pmr::monotonic_buffer_resource` was only stabilized in this release cycle, so we can still change it.
For a more detailed explanation why bumping down is better, see https://fitzgeraldnick.com/2019/11/01/always-bump-downwards.html.

Reviewed By: ldionne, #libc

Spies: libcxx-commits

Differential Revision: https://reviews.llvm.org/D141435
2023-01-12 18:36:45 +01:00
Louis Dionne
355e0ce3c5 [libc++] Extend check for non-ASCII characters to src/, test/ and benchmarks/
Differential Revision: https://reviews.llvm.org/D132180
2022-08-23 18:36:38 -04:00