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#pragma once
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#endif
//====--- OMPGridValues.h - Language-specific address spaces --*- C++ -*-====//
//
// 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
//
//===----------------------------------------------------------------------===//
///
/// \file
/// \brief Provides definitions for Target specific Grid Values
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_FRONTEND_OPENMP_OMPGRIDVALUES_H
#define LLVM_FRONTEND_OPENMP_OMPGRIDVALUES_H
namespace llvm {
namespace omp {
/// \brief Defines various target-specific GPU grid values that must be
/// consistent between host RTL (plugin), device RTL, and clang.
/// We can change grid values for a "fat" binary so that different
/// passes get the correct values when generating code for a
/// multi-target binary. Both amdgcn and nvptx values are stored in
/// this file. In the future, should there be differences between GPUs
/// of the same architecture, then simply make a different array and
/// use the new array name.
///
/// Example usage in clang:
/// const unsigned slot_size =
/// ctx.GetTargetInfo().getGridValue().GV_Warp_Size;
///
/// Example usage in libomptarget/deviceRTLs:
/// #include "llvm/Frontend/OpenMP/OMPGridValues.h"
/// #ifdef __AMDGPU__
/// #define GRIDVAL AMDGPUGridValues
/// #else
/// #define GRIDVAL NVPTXGridValues
/// #endif
/// ... Then use this reference for GV_Warp_Size in the deviceRTL source.
/// llvm::omp::GRIDVAL().GV_Warp_Size
///
/// Example usage in libomptarget hsa plugin:
/// #include "llvm/Frontend/OpenMP/OMPGridValues.h"
/// #define GRIDVAL AMDGPUGridValues
/// ... Then use this reference to access GV_Warp_Size in the hsa plugin.
/// llvm::omp::GRIDVAL().GV_Warp_Size
///
/// Example usage in libomptarget cuda plugin:
/// #include "llvm/Frontend/OpenMP/OMPGridValues.h"
/// #define GRIDVAL NVPTXGridValues
/// ... Then use this reference to access GV_Warp_Size in the cuda plugin.
/// llvm::omp::GRIDVAL().GV_Warp_Size
///
struct GV {
/// The size reserved for data in a shared memory slot.
const unsigned GV_Slot_Size;
/// The default value of maximum number of threads in a worker warp.
const unsigned GV_Warp_Size;
constexpr unsigned warpSlotSize() const {
return GV_Warp_Size * GV_Slot_Size;
}
/// the maximum number of teams.
const unsigned GV_Max_Teams;
// An alternative to the heavy data sharing infrastructure that uses global
// memory is one that uses device __shared__ memory. The amount of such space
// (in bytes) reserved by the OpenMP runtime is noted here.
const unsigned GV_SimpleBufferSize;
// The absolute maximum team size for a working group
const unsigned GV_Max_WG_Size;
// The default maximum team size for a working group
const unsigned GV_Default_WG_Size;
constexpr unsigned maxWarpNumber() const {
return GV_Max_WG_Size / GV_Warp_Size;
}
};
/// For AMDGPU GPUs
static constexpr GV AMDGPUGridValues64 = {
256, // GV_Slot_Size
64, // GV_Warp_Size
128, // GV_Max_Teams
896, // GV_SimpleBufferSize
1024, // GV_Max_WG_Size,
256, // GV_Default_WG_Size
};
static constexpr GV AMDGPUGridValues32 = {
256, // GV_Slot_Size
32, // GV_Warp_Size
128, // GV_Max_Teams
896, // GV_SimpleBufferSize
1024, // GV_Max_WG_Size,
256, // GV_Default_WG_Size
};
template <unsigned wavesize> constexpr const GV &getAMDGPUGridValues() {
static_assert(wavesize == 32 || wavesize == 64, "");
return wavesize == 32 ? AMDGPUGridValues32 : AMDGPUGridValues64;
}
/// For Nvidia GPUs
static constexpr GV NVPTXGridValues = {
256, // GV_Slot_Size
32, // GV_Warp_Size
1024, // GV_Max_Teams
896, // GV_SimpleBufferSize
1024, // GV_Max_WG_Size
128, // GV_Default_WG_Size
};
} // namespace omp
} // namespace llvm
#endif // LLVM_FRONTEND_OPENMP_OMPGRIDVALUES_H
#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif
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