diff --git a/flang/lib/Optimizer/CodeGen/CodeGen.cpp b/flang/lib/Optimizer/CodeGen/CodeGen.cpp
index 70c90fae3408..205807eab403 100644
--- a/flang/lib/Optimizer/CodeGen/CodeGen.cpp
+++ b/flang/lib/Optimizer/CodeGen/CodeGen.cpp
@@ -1830,7 +1830,9 @@ static bool isDeviceAllocation(mlir::Value val, mlir::Value adaptorVal) {
         (callOp.getCallee().value().getRootReference().getValue().starts_with(
              RTNAME_STRING(CUFMemAlloc)) ||
          callOp.getCallee().value().getRootReference().getValue().starts_with(
-             RTNAME_STRING(CUFAllocDescriptor))))
+             RTNAME_STRING(CUFAllocDescriptor)) ||
+         callOp.getCallee().value().getRootReference().getValue() ==
+             "__tgt_acc_get_deviceptr"))
       return true;
   return false;
 }
@@ -3253,8 +3255,9 @@ struct LoadOpConversion : public fir::FIROpConversion<fir::LoadOp> {
       if (auto callOp = mlir::dyn_cast_or_null<mlir::LLVM::CallOp>(
               inputBoxStorage.getDefiningOp())) {
         if (callOp.getCallee() &&
-            (*callOp.getCallee())
-                .starts_with(RTNAME_STRING(CUFAllocDescriptor))) {
+            ((*callOp.getCallee())
+                 .starts_with(RTNAME_STRING(CUFAllocDescriptor)) ||
+             (*callOp.getCallee()).starts_with("__tgt_acc_get_deviceptr"))) {
           // CUDA Fortran local descriptor are allocated in managed memory. So
           // new storage must be allocated the same way.
           auto mod = load->getParentOfType<mlir::ModuleOp>();
diff --git a/flang/test/Fir/CUDA/cuda-code-gen.mlir b/flang/test/Fir/CUDA/cuda-code-gen.mlir
index fdd9f1ac12b1..672be13beae2 100644
--- a/flang/test/Fir/CUDA/cuda-code-gen.mlir
+++ b/flang/test/Fir/CUDA/cuda-code-gen.mlir
@@ -204,3 +204,20 @@ func.func @_QMm1Psub1(%arg0: !fir.box<!fir.array<?xi32>> {cuf.data_attr = #cuf.c
 fir.global common @_QPshared_static__shared_mem(dense<0> : vector<28xi8>) {alignment = 8 : i64, data_attr = #cuf.cuda<shared>} : !fir.array<28xi8>
 
 // CHECK: llvm.mlir.global common @_QPshared_static__shared_mem(dense<0> : vector<28xi8>) {addr_space = 3 : i32, alignment = 8 : i64} : !llvm.array<28 x i8>
+
+// -----
+
+module attributes {dlti.dl_spec = #dlti.dl_spec<#dlti.dl_entry<f80, dense<128> : vector<2xi64>>, #dlti.dl_entry<i128, dense<128> : vector<2xi64>>, #dlti.dl_entry<i64, dense<64> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr<272>, dense<64> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<271>, dense<32> : vector<4xi64>>, #dlti.dl_entry<!llvm.ptr<270>, dense<32> : vector<4xi64>>, #dlti.dl_entry<f128, dense<128> : vector<2xi64>>, #dlti.dl_entry<f64, dense<64> : vector<2xi64>>, #dlti.dl_entry<f16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i32, dense<32> : vector<2xi64>>, #dlti.dl_entry<i16, dense<16> : vector<2xi64>>, #dlti.dl_entry<i8, dense<8> : vector<2xi64>>, #dlti.dl_entry<i1, dense<8> : vector<2xi64>>, #dlti.dl_entry<!llvm.ptr, dense<64> : vector<4xi64>>, #dlti.dl_entry<"dlti.endianness", "little">, #dlti.dl_entry<"dlti.stack_alignment", 128 : i64>>} {
+  func.func @_QQmain() attributes {fir.bindc_name = "cufkernel_global"} {
+    %c0 = arith.constant 0 : index
+    %3 = fir.call @__tgt_acc_get_deviceptr() : () -> !fir.ref<!fir.box<none>>
+    %4 = fir.convert %3 : (!fir.ref<!fir.box<none>>) -> !fir.ref<!fir.box<!fir.heap<!fir.array<?xi32>>>>
+    %5 = fir.load %4 : !fir.ref<!fir.box<!fir.heap<!fir.array<?xi32>>>>
+    return
+  }
+
+  // CHECK-LABEL: llvm.func @_QQmain()
+  // CHECK: llvm.call @_FortranACUFAllocDescriptor
+
+  func.func private @__tgt_acc_get_deviceptr() -> !fir.ref<!fir.box<none>>
+}