[clang] [libc] [Clang] Implement resource directory headers for common GPU intrinsics (PR #110179)

Johannes Doerfert via cfe-commits cfe-commits at lists.llvm.org
Tue Nov 5 09:34:28 PST 2024


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@@ -0,0 +1,86 @@
+//===-- gpuintrin.h - Generic GPU intrinsic functions ---------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// Provides wrappers around the clang builtins for accessing GPU hardware
+// features. The interface is intended to be portable between architectures, but
+// some targets may provide different implementations. This header can be
+// included for all the common GPU programming languages, namely OpenMP, HIP,
+// CUDA, and OpenCL.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef __GPUINTRIN_H
+#define __GPUINTRIN_H
+
+#if defined(__NVPTX__)
+#include <nvptxintrin.h>
+#elif defined(__AMDGPU__)
+#include <amdgpuintrin.h>
+#else
+#error "This header is only meant to be used on GPU architectures."
+#endif
+
+// Returns the total number of blocks / workgroups.
+_DEFAULT_ATTRS static inline uint64_t __gpu_num_blocks() {
+  return __gpu_num_blocks_x() * __gpu_num_blocks_y() * __gpu_num_blocks_z();
+}
+
+// Returns the absolute id of the block / workgroup.
+_DEFAULT_ATTRS static inline uint64_t __gpu_block_id() {
+  return __gpu_block_id_x() +
+         (uint64_t)__gpu_num_blocks_x() * __gpu_block_id_y() +
+         (uint64_t)__gpu_num_blocks_x() * __gpu_num_blocks_y() *
+             __gpu_block_id_z();
+}
+
+// Returns the total number of threads in the block / workgroup.
+_DEFAULT_ATTRS static inline uint32_t __gpu_num_threads() {
----------------
jdoerfert wrote:

I still don't like the mix of 32 and 64 bit types. I think for users 64 everywhere is much nicer, and it avoids the explicit casts above.

https://github.com/llvm/llvm-project/pull/110179


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