Giorgi Gvalia 5110ac4113
[Offload] Allow CUDA Kernels to use arbitrarily large shared memory (#145963)
Previously, the user was not able to use more than 48 KB of shared
memory on NVIDIA GPUs. In order to do so, setting the function attribute
`CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK` is required, which was not
present in the code base. With this commit, we add the ability toset
this attribute, allowing the user to utilize the full power of their
GPU.

In order to not have to reset the function attribute for each launch of
the same kernel, we keep track of the maximum memory limit (as the
variable `MaxDynCGroupMemLimit`) and only set the attribute if our
desired amount exceeds the limit. By default, this limit is set to 48
KB.

Feedback is greatly appreciated, especially around setting the new
variable as mutable. I did this becuase the `launchImpl` method is const
and I am not able to modify my variable otherwise.

---------

Co-authored-by: Giorgi Gvalia <ggvalia@login33.chn.perlmutter.nersc.gov>
Co-authored-by: Giorgi Gvalia <ggvalia@login07.chn.perlmutter.nersc.gov>
2025-07-07 15:26:16 -04:00

174 lines
4.6 KiB
C++

//===--- cuda/dynamic_cuda/cuda.pp ------------------------------- 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
//
//===----------------------------------------------------------------------===//
//
// Implement subset of cuda api by calling into cuda library via dlopen
// Does the dlopen/dlsym calls as part of the call to cuInit
//
//===----------------------------------------------------------------------===//
#include "llvm/Support/DynamicLibrary.h"
#include "Shared/Debug.h"
#include "DLWrap.h"
#include "cuda.h"
#include <memory>
#include <string>
#include <unordered_map>
DLWRAP_INITIALIZE()
DLWRAP_INTERNAL(cuInit, 1)
DLWRAP(cuCtxGetDevice, 1)
DLWRAP(cuDeviceGet, 2)
DLWRAP(cuDeviceGetAttribute, 3)
DLWRAP(cuDeviceGetCount, 1)
DLWRAP(cuFuncGetAttribute, 3)
DLWRAP(cuFuncSetAttribute, 3)
// Device info
DLWRAP(cuDeviceGetName, 3)
DLWRAP(cuDeviceTotalMem, 2)
DLWRAP(cuDriverGetVersion, 1)
DLWRAP(cuGetErrorString, 2)
DLWRAP(cuLaunchKernel, 11)
DLWRAP(cuLaunchHostFunc, 3)
DLWRAP(cuMemAlloc, 2)
DLWRAP(cuMemAllocHost, 2)
DLWRAP(cuMemAllocManaged, 3)
DLWRAP(cuMemAllocAsync, 3)
DLWRAP(cuMemcpyDtoDAsync, 4)
DLWRAP(cuMemcpyDtoH, 3)
DLWRAP(cuMemcpyDtoHAsync, 4)
DLWRAP(cuMemcpyHtoD, 3)
DLWRAP(cuMemcpyHtoDAsync, 4)
DLWRAP(cuMemFree, 1)
DLWRAP(cuMemFreeHost, 1)
DLWRAP(cuMemFreeAsync, 2)
DLWRAP(cuModuleGetFunction, 3)
DLWRAP(cuModuleGetGlobal, 4)
DLWRAP(cuModuleUnload, 1)
DLWRAP(cuStreamCreate, 2)
DLWRAP(cuStreamDestroy, 1)
DLWRAP(cuStreamSynchronize, 1)
DLWRAP(cuStreamQuery, 1)
DLWRAP(cuStreamAddCallback, 4)
DLWRAP(cuCtxSetCurrent, 1)
DLWRAP(cuDevicePrimaryCtxRelease, 1)
DLWRAP(cuDevicePrimaryCtxGetState, 3)
DLWRAP(cuDevicePrimaryCtxSetFlags, 2)
DLWRAP(cuDevicePrimaryCtxRetain, 2)
DLWRAP(cuModuleLoadDataEx, 5)
DLWRAP(cuDeviceCanAccessPeer, 3)
DLWRAP(cuCtxEnablePeerAccess, 2)
DLWRAP(cuMemcpyPeerAsync, 6)
DLWRAP(cuCtxGetLimit, 2)
DLWRAP(cuCtxSetLimit, 2)
DLWRAP(cuEventCreate, 2)
DLWRAP(cuEventRecord, 2)
DLWRAP(cuStreamWaitEvent, 3)
DLWRAP(cuEventSynchronize, 1)
DLWRAP(cuEventDestroy, 1)
DLWRAP_FINALIZE()
DLWRAP(cuMemUnmap, 2)
DLWRAP(cuMemRelease, 1)
DLWRAP(cuMemAddressFree, 2)
DLWRAP(cuMemGetInfo, 2)
DLWRAP(cuMemAddressReserve, 5)
DLWRAP(cuMemMap, 5)
DLWRAP(cuMemCreate, 4)
DLWRAP(cuMemSetAccess, 4)
DLWRAP(cuMemGetAllocationGranularity, 3)
#ifndef DYNAMIC_CUDA_PATH
#define DYNAMIC_CUDA_PATH "libcuda.so"
#endif
#ifndef TARGET_NAME
#define TARGET_NAME CUDA
#endif
#ifndef DEBUG_PREFIX
#define DEBUG_PREFIX "Target " GETNAME(TARGET_NAME) " RTL"
#endif
static bool checkForCUDA() {
// return true if dlopen succeeded and all functions found
// Prefer _v2 versions of functions if found in the library
std::unordered_map<std::string, const char *> TryFirst = {
{"cuMemAlloc", "cuMemAlloc_v2"},
{"cuMemFree", "cuMemFree_v2"},
{"cuMemcpyDtoH", "cuMemcpyDtoH_v2"},
{"cuMemcpyHtoD", "cuMemcpyHtoD_v2"},
{"cuStreamDestroy", "cuStreamDestroy_v2"},
{"cuModuleGetGlobal", "cuModuleGetGlobal_v2"},
{"cuMemcpyDtoHAsync", "cuMemcpyDtoHAsync_v2"},
{"cuMemcpyDtoDAsync", "cuMemcpyDtoDAsync_v2"},
{"cuMemcpyHtoDAsync", "cuMemcpyHtoDAsync_v2"},
{"cuDevicePrimaryCtxRelease", "cuDevicePrimaryCtxRelease_v2"},
{"cuDevicePrimaryCtxSetFlags", "cuDevicePrimaryCtxSetFlags_v2"},
};
const char *CudaLib = DYNAMIC_CUDA_PATH;
std::string ErrMsg;
auto DynlibHandle = std::make_unique<llvm::sys::DynamicLibrary>(
llvm::sys::DynamicLibrary::getPermanentLibrary(CudaLib, &ErrMsg));
if (!DynlibHandle->isValid()) {
DP("Unable to load library '%s': %s!\n", CudaLib, ErrMsg.c_str());
return false;
}
for (size_t I = 0; I < dlwrap::size(); I++) {
const char *Sym = dlwrap::symbol(I);
auto It = TryFirst.find(Sym);
if (It != TryFirst.end()) {
const char *First = It->second;
void *P = DynlibHandle->getAddressOfSymbol(First);
if (P) {
DP("Implementing %s with dlsym(%s) -> %p\n", Sym, First, P);
*dlwrap::pointer(I) = P;
continue;
}
}
void *P = DynlibHandle->getAddressOfSymbol(Sym);
if (P == nullptr) {
DP("Unable to find '%s' in '%s'!\n", Sym, CudaLib);
return false;
}
DP("Implementing %s with dlsym(%s) -> %p\n", Sym, Sym, P);
*dlwrap::pointer(I) = P;
}
return true;
}
CUresult cuInit(unsigned X) {
// Note: Called exactly once from cuda rtl.cpp in a global constructor so
// does not need to handle being called repeatedly or concurrently
if (!checkForCUDA()) {
return CUDA_ERROR_INVALID_HANDLE;
}
return dlwrap_cuInit(X);
}