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Commit cf1e39b6 authored by German Leon's avatar German Leon
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codes/matrixMul/Makefile 0 → 100644
View file @ cf1e39b6
################################################################################
#
# Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
#
# NOTICE TO USER:
#
# This source code is subject to NVIDIA ownership rights under U.S. and
# international Copyright laws.
#
# NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
# CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR
# IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH
# REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF
# MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
# IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL,
# OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
# OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
# OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE
# OR PERFORMANCE OF THIS SOURCE CODE.
#
# U.S. Government End Users. This source code is a "commercial item" as
# that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of
# "commercial computer software" and "commercial computer software
# documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995)
# and is provided to the U.S. Government only as a commercial end item.
# Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through
# 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the
# source code with only those rights set forth herein.
#
################################################################################
#
# Makefile project only supported on Mac OS X and Linux Platforms)
#
################################################################################
# Location of the CUDA Toolkit
CUDA_PATH ?= "/usr/local/cuda"
# Set the execution size
SIZE=8192
BUILD_TIMER=0
##############################
# start deprecated interface #
##############################
ifeq ($(x86_64),1)
$(info WARNING - x86_64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=x86_64 instead)
TARGET_ARCH ?= x86_64
endif
ifeq ($(ARMv7),1)
$(info WARNING - ARMv7 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=armv7l instead)
TARGET_ARCH ?= armv7l
endif
ifeq ($(aarch64),1)
$(info WARNING - aarch64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=aarch64 instead)
TARGET_ARCH ?= aarch64
endif
ifeq ($(ppc64le),1)
$(info WARNING - ppc64le variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=ppc64le instead)
TARGET_ARCH ?= ppc64le
endif
ifneq ($(GCC),)
$(info WARNING - GCC variable has been deprecated)
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
HOST_COMPILER ?= $(GCC)
endif
ifneq ($(abi),)
$(error ERROR - abi variable has been removed)
endif
############################
# end deprecated interface #
############################
# architecture
HOST_ARCH := $(shell uname -m)
TARGET_ARCH ?= $(HOST_ARCH)
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-ppc64le))
$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
endif
endif
# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
TARGET_ARCH = armv7l
endif
# operating system
HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
TARGET_OS ?= $(HOST_OS)
ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
endif
# host compiler
ifeq ($(TARGET_OS),darwin)
ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
HOST_COMPILER ?= clang++
endif
else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
ifeq ($(TARGET_OS),linux)
HOST_COMPILER ?= arm-linux-gnueabihf-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
else ifeq ($(TARGET_OS),android)
HOST_COMPILER ?= arm-linux-androideabi-g++
endif
else ifeq ($(TARGET_ARCH),aarch64)
ifeq ($(TARGET_OS), linux)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/aarch64-unknown-nto-qnx7.0.0-g++
else ifeq ($(TARGET_OS), android)
HOST_COMPILER ?= aarch64-linux-android-g++
endif
else ifeq ($(TARGET_ARCH),ppc64le)
HOST_COMPILER ?= powerpc64le-linux-gnu-g++
endif
endif
HOST_COMPILER ?= g++
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
# internal flags
#NVCCFLAGS := -m${TARGET_SIZE} -Xptxas -v -Xcompiler -fopenmp -g -G
NVCCFLAGS := -m${TARGET_SIZE} --ptxas-options=-v -Xcompiler -fopenmp -g -G
CCFLAGS :=
LDFLAGS :=
# build flags
ifeq ($(TARGET_OS),darwin)
LDFLAGS += -rpath $(CUDA_PATH)/lib
CCFLAGS += -arch $(HOST_ARCH)
else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
CCFLAGS += -mfloat-abi=hard
else ifeq ($(TARGET_OS),android)
LDFLAGS += -pie
CCFLAGS += -fpie -fpic -fexceptions
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
endif
endif
endif
# Debug build flags
ifeq ($(dbg),1)
NVCCFLAGS += -g -G
BUILD_TYPE := debug
else
BUILD_TYPE := release
endif
ALL_CCFLAGS :=
ALL_CCFLAGS += $(NVCCFLAGS)
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))
SAMPLE_ENABLED := 1
ALL_LDFLAGS :=
ALL_LDFLAGS += $(ALL_CCFLAGS)
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))
# Common includes and paths for CUDA
INCLUDES := -I$(CUDA_PATH)/samples/common/inc/
LIBRARIES :=
################################################################################
# Gencode arguments
#SMS ?= 35 37 50 52 60 61 70
SMS ?= 70
ifeq ($(SMS),)
$(info >>> WARNING - no SM architectures have been specified - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
ifeq ($(GENCODE_FLAGS),)
# Generate SASS code for each SM architecture listed in $(SMS)
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
HIGHEST_SM := $(lastword $(sort $(SMS)))
ifneq ($(HIGHEST_SM),)
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
endif
endif
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
ALL_LDFLAGS+= -DBUILD_TIMER=$(BUILD_TIMER)
ALL_CCFLAGS+= -DBUILD_TIMER=$(BUILD_TIMER)
# Target rules
all: build
build: matrixMul
check.deps:
ifeq ($(SAMPLE_ENABLED),0)
@echo "Sample will be waived due to the above missing dependencies"
else
@echo "Sample is ready - all dependencies have been met"
endif
matrixMul.o:matrixMul.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
matrixMul: matrixMul.o
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
run: build
$(EXEC) ./matrixMul -device=1 -wA=$(SIZE) -hA=$(SIZE) -hB=$(SIZE) -wB=$(SIZE)
clean:
rm -f matrixMul matrixMul.o
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/matrixMul
clobber: clean
codes/matrixMul/matrixMul.cu 0 → 100644
View file @ cf1e39b6
/**
* Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and related documentation outside the terms of the EULA
* is strictly prohibited.
*
*/
/**
* Matrix multiplication: C = A * B.
* Host code.
*
* This sample implements matrix multiplication as described in Chapter 3
* of the programming guide.
* It has been written for clarity of exposition to illustrate various CUDA
* programming principles, not with the goal of providing the most
* performant generic kernel for matrix multiplication.
*
* See also:
* V. Volkov and J. Demmel, "Benchmarking GPUs to tune dense linear algebra,"
* in Proc. 2008 ACM/IEEE Conf. on Supercomputing (SC '08),
* Piscataway, NJ: IEEE Press, 2008, pp. Art. 31:1-11.
*/
// System includes
#include <stdio.h>
#include <assert.h>
// CUDA runtime
#include <cuda_runtime.h>
// Helper functions and utilities to work with CUDA
#include <helper_functions.h>
#include <helper_cuda.h>
#include <omp.h>
#if BUILD_TIMER == 1
static double timer;
#endif
/**
* Matrix multiplication (CUDA Kernel) on the device: C = A * B
* wA is A's width and wB is B's width
*/
template<int BLOCK_SIZE>
__global__ void matrixMulCUDA(float *C, float *A, float *B, int wA, int wB) {
// Block index
int bx = blockIdx.x;
int by = blockIdx.y;
// Thread index
int tx = threadIdx.x;
int ty = threadIdx.y;
// Index of the first sub-matrix of A processed by the block
int aBegin = wA * BLOCK_SIZE * by;
// Index of the last sub-matrix of A processed by the block
int aEnd = aBegin + wA - 1;
// Step size used to iterate through the sub-matrices of A
int aStep = BLOCK_SIZE;
// Index of the first sub-matrix of B processed by the block
int bBegin = BLOCK_SIZE * bx;
// Step size used to iterate through the sub-matrices of B
int bStep = BLOCK_SIZE * wB;
// Csub is used to store the element of the block sub-matrix
// that is computed by the thread
float Csub = 0;
// Loop over all the sub-matrices of A and B
// required to compute the block sub-matrix
for (int a = aBegin, b = bBegin; a <= aEnd; a += aStep, b += bStep) {
// Declaration of the shared memory array As used to
// store the sub-matrix of A
__shared__ float As[BLOCK_SIZE][BLOCK_SIZE];
// Declaration of the shared memory array Bs used to
// store the sub-matrix of B
__shared__ float Bs[BLOCK_SIZE][BLOCK_SIZE];
// Load the matrices from device memory
// to shared memory; each thread loads
// one element of each matrix
As[ty][tx] = A[a + wA * ty + tx];
Bs[ty][tx] = B[b + wB * ty + tx];
// Synchronize to make sure the matrices are loaded
__syncthreads();
// Multiply the two matrices together;
// each thread computes one element
// of the block sub-matrix
#pragma unroll
for (int k = 0; k < BLOCK_SIZE; ++k) {
Csub += As[ty][k] * Bs[k][tx];
}
// Synchronize to make sure that the preceding
// computation is done before loading two new
// sub-matrices of A and B in the next iteration
__syncthreads();
}
// Write the block sub-matrix to device memory;
// each thread writes one element
int c = wB * BLOCK_SIZE * by + BLOCK_SIZE * bx;
C[c + wB * ty + tx] = Csub;
}
void constantInit(float *data, int size, float val) {
for (int i = 0; i < size; ++i) {
data[i] = val;
}
}
double mysecond() {
struct timeval tp;
struct timezone tzp;
int i = gettimeofday(&tp, &tzp);
return ((double) tp.tv_sec + (double) tp.tv_usec * 1.e-6);
}
/**
* Run a simple test of matrix multiplication using CUDA
*/
int matrixMultiply(int argc, char **argv, int block_size, dim3 &dimsA,
dim3 &dimsB) {
// Allocate host memory for matrices A and B
unsigned int size_A = dimsA.x * dimsA.y;
unsigned int mem_size_A = sizeof(float) * size_A;
float *h_A = (float *) malloc(mem_size_A);
unsigned int size_B = dimsB.x * dimsB.y;
unsigned int mem_size_B = sizeof(float) * size_B;
float *h_B = (float *) malloc(mem_size_B);
// Initialize host memory
const float valB = 0.01f;
constantInit(h_A, size_A, 1.0f);
constantInit(h_B, size_B, valB);
// Allocate device memory
float *d_A, *d_B, *d_C;
// Allocate host matrix C
dim3 dimsC(dimsB.x, dimsA.y, 1);
unsigned int mem_size_C = dimsC.x * dimsC.y * sizeof(float);
float *h_C = (float *) malloc(mem_size_C);
if (h_C == NULL) {
fprintf(stderr, "Failed to allocate host matrix C!\n");
exit (EXIT_FAILURE);
}
cudaError_t error;
error = cudaMalloc((void **) &d_A, mem_size_A);
if (error != cudaSuccess) {
printf("cudaMalloc d_A returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
error = cudaMalloc((void **) &d_B, mem_size_B);
if (error != cudaSuccess) {
printf("cudaMalloc d_B returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
error = cudaMalloc((void **) &d_C, mem_size_C);
if (error != cudaSuccess) {
printf("cudaMalloc d_C returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
// copy host memory to device
error = cudaMemcpy(d_A, h_A, mem_size_A, cudaMemcpyHostToDevice);
if (error != cudaSuccess) {
printf("cudaMemcpy (d_A,h_A) returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
error = cudaMemcpy(d_B, h_B, mem_size_B, cudaMemcpyHostToDevice);
if (error != cudaSuccess) {
printf("cudaMemcpy (d_B,h_B) returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
// Setup execution parameters
dim3 threads(block_size, block_size);
dim3 grid(dimsB.x / threads.x, dimsA.y / threads.y);
// Create and start timer
printf("Computing result using CUDA Kernel...\n");
// Performs warmup operation using matrixMul CUDA kernel
// if (block_size == 16) {
// matrixMulCUDA<16> <<<grid, threads>>>(d_C, d_A, d_B, dimsA.x, dimsB.x);
// } else {
// matrixMulCUDA<32> <<<grid, threads>>>(d_C, d_A, d_B, dimsA.x, dimsB.x);
// }
// printf("done\n");
//
// cudaDeviceSynchronize();
// Allocate CUDA events that we'll use for timing
cudaEvent_t start;
error = cudaEventCreate(&start);
if (error != cudaSuccess) {
fprintf(stderr, "Failed to create start event (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
cudaEvent_t stop;
error = cudaEventCreate(&stop);
if (error != cudaSuccess) {
fprintf(stderr, "Failed to create stop event (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
// Record the start event
error = cudaEventRecord(start, NULL);
if (error != cudaSuccess) {
fprintf(stderr, "Failed to record start event (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
// Execute the kernel
int nIter = 1;
#if BUILD_TIMER == 1
printf("BEFORE START KERNEL %lf\n", mysecond() - timer);
double t1 = mysecond();
#endif
for (int j = 0; j < nIter; j++) {
matrixMulCUDA<32> <<<grid, threads>>>(d_C, d_A, d_B, dimsA.x, dimsB.x);
cudaDeviceSynchronize();
}
#if BUILD_TIMER == 1
double exec_time = mysecond() - t1;
printf("KERNEL EXECUTION TIME %lf\n", exec_time);
#endif
// Record the stop event
error = cudaEventRecord(stop, NULL);
if (error != cudaSuccess) {
fprintf(stderr, "Failed to record stop event (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
// Wait for the stop event to complete
error = cudaEventSynchronize(stop);
if (error != cudaSuccess) {
fprintf(stderr,
"Failed to synchronize on the stop event (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
float msecTotal = 0.0f;
error = cudaEventElapsedTime(&msecTotal, start, stop);
if (error != cudaSuccess) {
fprintf(stderr,
"Failed to get time elapsed between events (error code %s)!\n",
cudaGetErrorString(error));
exit (EXIT_FAILURE);
}
#if BUILD_TIMER == 1
// Compute and print the performance
float msecPerMatrixMul = msecTotal / nIter;
double flopsPerMatrixMul = 2.0 * (double) dimsA.x * (double) dimsA.y
* (double) dimsB.x;
double gigaFlops = (flopsPerMatrixMul * 1.0e-9f)
/ (msecPerMatrixMul / 1000.0f);
printf(
"Performance= %.2f GFlop/s, Time= %.3f msec, Size= %.0f Ops, WorkgroupSize= %u threads/block\n",
gigaFlops, msecPerMatrixMul, flopsPerMatrixMul,
threads.x * threads.y);
#endif
// Copy result from device to host
error = cudaMemcpy(h_C, d_C, mem_size_C, cudaMemcpyDeviceToHost);
if (error != cudaSuccess) {
printf("cudaMemcpy (h_C,d_C) returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
exit (EXIT_FAILURE);
}
printf("Checking computed result for correctness: ");
bool correct = true;
// test relative error by the formula
// |<x, y>_cpu - <x,y>_gpu|/<|x|, |y|> < eps
double eps = 1.e-6; // machine zero
#if BUILD_TIMER == 1
t1 = mysecond();
#endif
#pragma omp parallel for shared(h_C, correct)
for (int i = 0; i < (int) (dimsC.x * dimsC.y); i++) {
float abs_err = fabs(h_C[i] - float(dimsA.x * valB));
float dot_length = dimsA.x;
float abs_val = fabs(h_C[i]);
float rel_err = abs_err / abs_val / dot_length;
if (rel_err > eps) {
printf("Error! Matrix[%05d]=%.8f, ref=%.8f error term is > %E\n", i,
h_C[i], dimsA.x * valB, eps);
#pragma omp critical
{
correct = false;
}
}
}
#if BUILD_TIMER == 1
exec_time = mysecond() - t1;
printf("CMP TIME %lf\n", exec_time);
#endif
printf("%s\n", correct ? "Result = PASS" : "Result = FAIL");
// Clean up memory
free(h_A);
free(h_B);
free(h_C);
cudaFree(d_A);
cudaFree(d_B);
cudaFree(d_C);
printf(
"\nNOTE: The CUDA Samples are not meant for performance measurements. "
"Results may vary when GPU Boost is enabled.\n");
if (correct) {
return EXIT_SUCCESS;
} else {
return EXIT_FAILURE;
}
}
/**
* Program main
*/
int main(int argc, char **argv) {
#if BUILD_TIMER == 1
timer = mysecond();
#endif
printf("[Matrix Multiply Using CUDA] - Starting...\n");
if (checkCmdLineFlag(argc, (const char **) argv, "help")
|| checkCmdLineFlag(argc, (const char **) argv, "?")) {
printf("Usage -device=n (n >= 0 for deviceID)\n");
printf(" -wA=WidthA -hA=HeightA (Width x Height of Matrix A)\n");
printf(" -wB=WidthB -hB=HeightB (Width x Height of Matrix B)\n");
printf(
" Note: Outer matrix dimensions of A & B matrices must be equal.\n");
exit (EXIT_SUCCESS);
}
// By default, we use device 0, otherwise we override the device ID based on what is provided at the command line
int devID = 0;
if (checkCmdLineFlag(argc, (const char **) argv, "device")) {
devID = getCmdLineArgumentInt(argc, (const char **) argv, "device");
cudaSetDevice(devID);
}
cudaError_t error;
cudaDeviceProp deviceProp;
error = cudaGetDevice(&devID);
if (error != cudaSuccess) {
printf("cudaGetDevice returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
}
error = cudaGetDeviceProperties(&deviceProp, devID);
if (deviceProp.computeMode == cudaComputeModeProhibited) {
fprintf(stderr,
"Error: device is running in <Compute Mode Prohibited>, no threads can use ::cudaSetDevice().\n");
exit (EXIT_SUCCESS);
}
if (error != cudaSuccess) {
printf(
"cudaGetDeviceProperties returned error %s (code %d), line(%d)\n",
cudaGetErrorString(error), error, __LINE__);
} else {
printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n", devID,
deviceProp.name, deviceProp.major, deviceProp.minor);
}
// Use a larger block size for Fermi and above
int block_size = (deviceProp.major < 2) ? 16 : 32;
dim3 dimsA(5 * 2 * block_size, 5 * 2 * block_size, 1);
dim3 dimsB(5 * 4 * block_size, 5 * 2 * block_size, 1);
// width of Matrix A
if (checkCmdLineFlag(argc, (const char **) argv, "wA")) {
dimsA.x = getCmdLineArgumentInt(argc, (const char **) argv, "wA");
}
// height of Matrix A
if (checkCmdLineFlag(argc, (const char **) argv, "hA")) {
dimsA.y = getCmdLineArgumentInt(argc, (const char **) argv, "hA");
}
// width of Matrix B
if (checkCmdLineFlag(argc, (const char **) argv, "wB")) {
dimsB.x = getCmdLineArgumentInt(argc, (const char **) argv, "wB");
}
// height of Matrix B
if (checkCmdLineFlag(argc, (const char **) argv, "hB")) {
dimsB.y = getCmdLineArgumentInt(argc, (const char **) argv, "hB");
}
if (dimsA.x != dimsB.y) {
printf("Error: outer matrix dimensions must be equal. (%d != %d)\n",
dimsA.x, dimsB.y);
exit (EXIT_FAILURE);
}
printf("MatrixA(%d,%d), MatrixB(%d,%d)\n", dimsA.x, dimsA.y, dimsB.x,
dimsB.y);
int matrix_result = matrixMultiply(argc, argv, block_size, dimsA, dimsB);
exit(matrix_result);
}
codes/matrixMul/matrixmul.conf 0 → 100644
View file @ cf1e39b6
[DEFAULT]
debug =True
# Name of the gdb executable
gdbExecName = /usr/local/cuda-10.1.243/bin/cuda-gdb
# Which fault model to use, 0 -> single; 1 -> double;
# 2 -> random; 3 -> zeros; 4 -> least 16 significant bits (LSB);
# 5 -> least 8 significant bits (LSB)
# If you want multiple fault models, place them separated by ','
# faultModel = 0,2,3
faultModel = 0
# Injection site
# Can be:
# RF -> Register File
# INST_OUT -> Instruction Output (NOT IMPLEMENTED YET)
# INST_composed -> Instruction Adress (NOT IMPLEMENTED YET)
#injectionSite = RF
injectionSite = INST_OUT
# Max time factor to finish the app, this will be multiplied by the application running time
# For example if your app spend 2s, and the maxWaitTimes is 5, the max running time before it is
# Considered as a crash is 10s
maxWaitTimes = 5
# binary file of the application
# Must be full path
benchmarkBinary = /home/badia/mycarol-fi/codes/matrixMul/matrixMul
# Commands to set the session inside GDB environment
benchmarkArgs = -wA=8192 -hA=8192 -hB=8192 -wB=8192
# CSV output file. It will be overwrite at each injection
csvFile = results/mBlock_IO.csv
# You should create a script on the benchmark source folder to verify GOLD_OUTPUT x INJ_OUTPUT
goldenCheckScript = codes/matrixMul/sdc_check.sh
# Number of signals that will be sent to the application
seqSignals = 20
# Initial sleep time in seconds before start sending signals
# Generally the memory setup time
initSleep = 2.1
kernels=matrixMulCUDA
section_begin=matrixMul.cu:259
section_end=matrixMul.cu:264
codes/matrixMul/sdc_check.sh 0 → 100644
View file @ cf1e39b6
#!/usr/bin/sh
# SDC checking diff
# Must compare all things here
# Any particular output comparison must be made here
# To be considered as an SDC or CRASH the
# DIFF_LOG and DIFF_ERR_LOG files must not be empty
# INJ_OUTPUT_PATH, INJ_ERR_PATH, GOLD_OUTPUT_PATH, GOLD_ERR_PATH
# are environment variables defined by the fault_injector.py
# diff stdout
diff -B ${INJ_OUTPUT_PATH} ${GOLD_OUTPUT_PATH} > ${DIFF_LOG}
# Special comparison like the following one can be done in this script
grep -q "Result = FAIL" ${INJ_OUTPUT_PATH} >> ${DIFF_LOG}
# diff stderr
diff -B ${INJ_ERR_PATH} ${GOLD_ERR_PATH} > ${DIFF_ERR_LOG}
# Must exit 0
exit 0
\ No newline at end of file
codes/mmElem/Makefile 0 → 100644
View file @ cf1e39b6
################################################################################
#
# Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
#
# NOTICE TO USER:
#
# This source code is subject to NVIDIA ownership rights under U.S. and
# international Copyright laws.
#
# NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
# CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR
# IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH
# REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF
# MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
# IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL,
# OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
# OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
# OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE
# OR PERFORMANCE OF THIS SOURCE CODE.
#
# U.S. Government End Users. This source code is a "commercial item" as
# that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of
# "commercial computer software" and "commercial computer software
# documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995)
# and is provided to the U.S. Government only as a commercial end item.
# Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through
# 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the
# source code with only those rights set forth herein.
#
################################################################################
#
# Makefile project only supported on Mac OS X and Linux Platforms)
#
################################################################################
# Location of the CUDA Toolkit
CUDA_PATH ?= "/usr/local/cuda"
# Set the execution size
SIZE=8192
BUILD_TIMER=1
##############################
# start deprecated interface #
##############################
ifeq ($(x86_64),1)
$(info WARNING - x86_64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=x86_64 instead)
TARGET_ARCH ?= x86_64
endif
ifeq ($(ARMv7),1)
$(info WARNING - ARMv7 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=armv7l instead)
TARGET_ARCH ?= armv7l
endif
ifeq ($(aarch64),1)
$(info WARNING - aarch64 variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=aarch64 instead)
TARGET_ARCH ?= aarch64
endif
ifeq ($(ppc64le),1)
$(info WARNING - ppc64le variable has been deprecated)
$(info WARNING - please use TARGET_ARCH=ppc64le instead)
TARGET_ARCH ?= ppc64le
endif
ifneq ($(GCC),)
$(info WARNING - GCC variable has been deprecated)
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
HOST_COMPILER ?= $(GCC)
endif
ifneq ($(abi),)
$(error ERROR - abi variable has been removed)
endif
############################
# end deprecated interface #
############################
# architecture
HOST_ARCH := $(shell uname -m)
TARGET_ARCH ?= $(HOST_ARCH)
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-ppc64le))
$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
endif
endif
# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
TARGET_ARCH = armv7l
endif
# operating system
HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
TARGET_OS ?= $(HOST_OS)
ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
endif
# host compiler
ifeq ($(TARGET_OS),darwin)
ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
HOST_COMPILER ?= clang++
endif
else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
ifeq ($(TARGET_OS),linux)
HOST_COMPILER ?= arm-linux-gnueabihf-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
else ifeq ($(TARGET_OS),android)
HOST_COMPILER ?= arm-linux-androideabi-g++
endif
else ifeq ($(TARGET_ARCH),aarch64)
ifeq ($(TARGET_OS), linux)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(TARGET_OS),qnx)
ifeq ($(QNX_HOST),)
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
endif
ifeq ($(QNX_TARGET),)
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
endif
export QNX_HOST
export QNX_TARGET
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/aarch64-unknown-nto-qnx7.0.0-g++
else ifeq ($(TARGET_OS), android)
HOST_COMPILER ?= aarch64-linux-android-g++
endif
else ifeq ($(TARGET_ARCH),ppc64le)
HOST_COMPILER ?= powerpc64le-linux-gnu-g++
endif
endif
HOST_COMPILER ?= g++
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
# internal flags
#NVCCFLAGS := -m${TARGET_SIZE} -Xptxas -v -Xcompiler -fopenmp -g -G
NVCCFLAGS := -m${TARGET_SIZE} --ptxas-options=-v -Xcompiler -fopenmp -g -G
CCFLAGS :=
LDFLAGS :=
# build flags
ifeq ($(TARGET_OS),darwin)
LDFLAGS += -rpath $(CUDA_PATH)/lib
CCFLAGS += -arch $(HOST_ARCH)
else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
CCFLAGS += -mfloat-abi=hard
else ifeq ($(TARGET_OS),android)
LDFLAGS += -pie
CCFLAGS += -fpie -fpic -fexceptions
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
ifneq ($(TARGET_FS),)
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
ifeq ($(GCCVERSIONLTEQ46),1)
CCFLAGS += --sysroot=$(TARGET_FS)
endif
LDFLAGS += --sysroot=$(TARGET_FS)
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
endif
endif
endif
# Debug build flags
ifeq ($(dbg),1)
NVCCFLAGS += -g -G
BUILD_TYPE := debug
else
BUILD_TYPE := release
endif
ALL_CCFLAGS :=
ALL_CCFLAGS += $(NVCCFLAGS)
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))
SAMPLE_ENABLED := 1
ALL_LDFLAGS :=
ALL_LDFLAGS += $(ALL_CCFLAGS)
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))
# Common includes and paths for CUDA
INCLUDES := -I$(CUDA_PATH)/samples/common/inc/
LIBRARIES :=
################################################################################
# Gencode arguments
#SMS ?= 37 50 52 60 61 70
SMS ?= 70 80
ifeq ($(SMS),)
$(info >>> WARNING - no SM architectures have been specified - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
ifeq ($(GENCODE_FLAGS),)
# Generate SASS code for each SM architecture listed in $(SMS)
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
HIGHEST_SM := $(lastword $(sort $(SMS)))
ifneq ($(HIGHEST_SM),)
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
endif
endif
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
ALL_LDFLAGS+= -DBUILD_TIMER=$(BUILD_TIMER)
ALL_CCFLAGS+= -DBUILD_TIMER=$(BUILD_TIMER)
# Target rules
all: build
build: matrixMul
check.deps:
ifeq ($(SAMPLE_ENABLED),0)
@echo "Sample will be waived due to the above missing dependencies"
else
@echo "Sample is ready - all dependencies have been met"
endif
matrixMul.o:matrixMul.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
matrixMul: matrixMul.o
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
run: build
$(EXEC) ./matrixMul -device=1 -wA=$(SIZE) -hA=$(SIZE) -hB=$(SIZE) -wB=$(SIZE)
clean:
rm -f matrixMul matrixMul.o
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/matrixMul
clobber: clean
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