413a66f339
This patch introduces generating VP intrinsics in the Loop Vectorizer. Currently the Loop Vectorizer supports vector predication in a very limited capacity via tail-folding and masked load/store/gather/scatter intrinsics. However, this does not let architectures with active vector length predication support take advantage of their capabilities. Architectures with general masked predication support also can only take advantage of predication on memory operations. By having a way for the Loop Vectorizer to generate Vector Predication intrinsics, which (will) provide a target-independent way to model predicated vector instructions. These architectures can make better use of their predication capabilities. Our first approach (implemented in this patch) builds on top of the existing tail-folding mechanism in the LV (just adds a new tail-folding mode using EVL), but instead of generating masked intrinsics for memory operations it generates VP intrinsics for loads/stores instructions. The patch adds a new VPlanTransforms to replace the wide header predicate compare with EVL and updates codegen for load/stores to use VP store/load with EVL. Other important part of this approach is how the Explicit Vector Length is computed. (VP intrinsics define this vector length parameter as Explicit Vector Length (EVL)). We use an experimental intrinsic `get_vector_length`, that can be lowered to architecture specific instruction(s) to compute EVL. Also, added a new recipe to emit instructions for computing EVL. Using VPlan in this way will eventually help build and compare VPlans corresponding to different strategies and alternatives. Differential Revision: https://reviews.llvm.org/D99750
11 KiB
11 KiB