cudaPackages.saxpy: init at unstable-2023-07-11

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Someone Serge 2023-07-11 19:34:02 +03:00
parent 4df8614c04
commit 251d3166c5
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4 changed files with 132 additions and 0 deletions

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@ -71,4 +71,6 @@ in
cudaFlags
markForCudatoolkitRootHook
setupCudaHook;
saxpy = final.callPackage ./saxpy { };
}

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@ -0,0 +1,12 @@
cmake_minimum_required(VERSION 3.25)
project(saxpy LANGUAGES CXX CUDA)
find_package(CUDAToolkit REQUIRED COMPONENTS cudart cublas)
add_executable(saxpy saxpy.cu)
target_link_libraries(saxpy PUBLIC CUDA::cublas CUDA::cudart m)
target_compile_features(saxpy PRIVATE cxx_std_14)
target_compile_options(saxpy PRIVATE $<$<COMPILE_LANGUAGE:CUDA>:
--expt-relaxed-constexpr>)
install(TARGETS saxpy)

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@ -0,0 +1,50 @@
{ autoAddOpenGLRunpathHook
, backendStdenv
, cmake
, cuda_cccl
, cuda_cudart
, cudaFlags
, cuda_nvcc
, lib
, libcublas
, setupCudaHook
, stdenv
}:
backendStdenv.mkDerivation {
pname = "saxpy";
version = "unstable-2023-07-11";
src = ./.;
buildInputs = [
libcublas
cuda_cudart
cuda_cccl
];
nativeBuildInputs = [
cmake
# NOTE: this needs to be pkgs.buildPackages.cudaPackages_XX_Y.cuda_nvcc for
# cross-compilation to work. This should work automatically once we move to
# spliced scopes. Delete this comment once that happens
cuda_nvcc
# Alternatively, we could remove the propagated hook from cuda_nvcc and add
# directly:
# setupCudaHook
autoAddOpenGLRunpathHook
];
cmakeFlags = [
"-DCMAKE_VERBOSE_MAKEFILE=ON"
"-DCMAKE_CUDA_ARCHITECTURES=${with cudaFlags; builtins.concatStringsSep ";" (map dropDot cudaCapabilities)}"
];
meta = {
description = "A simple (Single-precision AX Plus Y) FindCUDAToolkit.cmake example for testing cross-compilation";
license = lib.licenses.mit;
maintainers = lib.teams.cuda.members;
platforms = lib.platforms.unix;
};
}

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@ -0,0 +1,68 @@
#include <cublas_v2.h>
#include <cuda_runtime.h>
#include <vector>
#include <stdio.h>
static inline void check(cudaError_t err, const char *context) {
if (err != cudaSuccess) {
fprintf(stderr, "CUDA error at %s: %s\n", context, cudaGetErrorString(err));
std::exit(EXIT_FAILURE);
}
}
#define CHECK(x) check(x, #x)
__global__ void saxpy(int n, float a, float *x, float *y) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < n)
y[i] = a * x[i] + y[i];
}
int main(void) {
setbuf(stderr, NULL);
fprintf(stderr, "Start\n");
int rtVersion, driverVersion;
CHECK(cudaRuntimeGetVersion(&rtVersion));
CHECK(cudaDriverGetVersion(&driverVersion));
fprintf(stderr, "Runtime version: %d\n", rtVersion);
fprintf(stderr, "Driver version: %d\n", driverVersion);
constexpr int N = 1 << 10;
std::vector<float> xHost(N), yHost(N);
for (int i = 0; i < N; i++) {
xHost[i] = 1.0f;
yHost[i] = 2.0f;
}
fprintf(stderr, "Host memory initialized, copying to the device\n");
fflush(stderr);
float *xDevice, *yDevice;
CHECK(cudaMalloc(&xDevice, N * sizeof(float)));
CHECK(cudaMalloc(&yDevice, N * sizeof(float)));
CHECK(cudaMemcpy(xDevice, xHost.data(), N * sizeof(float),
cudaMemcpyHostToDevice));
CHECK(cudaMemcpy(yDevice, yHost.data(), N * sizeof(float),
cudaMemcpyHostToDevice));
fprintf(stderr, "Scheduled a cudaMemcpy, calling the kernel\n");
saxpy<<<(N + 255) / 256, 256>>>(N, 2.0f, xDevice, yDevice);
fprintf(stderr, "Scheduled a kernel call\n");
CHECK(cudaGetLastError());
CHECK(cudaMemcpy(yHost.data(), yDevice, N * sizeof(float),
cudaMemcpyDeviceToHost));
float maxError = 0.0f;
for (int i = 0; i < N; i++)
maxError = max(maxError, abs(yHost[i] - 4.0f));
fprintf(stderr, "Max error: %f\n", maxError);
CHECK(cudaFree(xDevice));
CHECK(cudaFree(yDevice));
}