// clang-format off // RUN: %libomptarget-compile-generic -fopenmp-target-multi-device -fopenmp-target-fast // RUN: env HSA_XNACK=1 OMPX_APU_MAPS=1 LIBOMPTARGET_KERNEL_TRACE=1 LIBOMPTARGET_NUM_MULTI_DEVICES=2 \ // RUN: %libomptarget-run-generic 2>&1 | %fcheck-generic // clang-format on // UNSUPPORTED: aarch64-unknown-linux-gnu // UNSUPPORTED: aarch64-unknown-linux-gnu-LTO // UNSUPPORTED: nvptx64-nvidia-cuda // UNSUPPORTED: nvptx64-nvidia-cuda-LTO // UNSUPPORTED: x86_64-pc-linux-gnu // UNSUPPORTED: x86_64-pc-linux-gnu-LTO // REQUIRES: multi_device #include #include #define M 10 #define N 15000 int main() { double *a = (double *)malloc(sizeof(double) * (N * M + 1)); // Init a: for (int i = 0; i < M; i++) { for (int k = 0; k < N; k++) { a[k * M + i] = i; } } double final_sum = 0.0; #pragma omp target teams distribute reduction(+ : final_sum) for (int i = 0; i < M; i++) { double sum_qi = 0.0; #pragma omp parallel for simd reduction(+ : sum_qi) for (int k = 0; k < N; k++) sum_qi = sum_qi + a[k * M + i]; final_sum += sum_qi; } // clang-format off // CHECK: DEVID: 0 SGN:3 {{.*}} tripcount:10 rpc:0 md:0 // clang-format on // CHECK: final_sum = 675000 printf("final_sum = %f\n", final_sum); free(a); return 0; }