mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-11 23:38:25 +08:00
Initial public release for CUDA 9.2.
This commit is contained in:
Andy Dick
344
Samples/matrixMulDrv/Makefile
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344
Samples/matrixMulDrv/Makefile
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@@ -0,0 +1,344 @@
|
||||
################################################################################
|
||||
#
|
||||
# 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
|
||||
|
||||
##############################
|
||||
# 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}
|
||||
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
|
||||
|
||||
ifeq ($(TARGET_OS),qnx)
|
||||
CCFLAGS += -DWIN_INTERFACE_CUSTOM
|
||||
LDFLAGS += -lsocket
|
||||
endif
|
||||
|
||||
# Install directory of different arch
|
||||
CUDA_INSTALL_TARGET_DIR :=
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-gnueabihf/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-androideabi/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux-androideabi/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/ARMv7-linux-QNX/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-qnx/
|
||||
else ifeq ($(TARGET_ARCH),ppc64le)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/ppc64le-linux/
|
||||
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))
|
||||
|
||||
UBUNTU = $(shell lsb_release -i -s 2>/dev/null | grep -i ubuntu)
|
||||
|
||||
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../../Common
|
||||
LIBRARIES :=
|
||||
|
||||
################################################################################
|
||||
|
||||
PTX_FILE := matrixMul_kernel${TARGET_SIZE}.ptx
|
||||
|
||||
# Gencode arguments
|
||||
SMS ?=
|
||||
|
||||
ifeq ($(GENCODE_FLAGS),)
|
||||
# Generate SASS code for each SM architecture listed in $(SMS)
|
||||
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
|
||||
|
||||
ifeq ($(SMS),)
|
||||
# Generate PTX code from SM 30
|
||||
GENCODE_FLAGS += -gencode arch=compute_30,code=compute_30
|
||||
endif
|
||||
|
||||
# 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 ($(TARGET_OS),darwin)
|
||||
ALL_LDFLAGS += -Xcompiler -F/Library/Frameworks -Xlinker -framework -Xlinker CUDA
|
||||
else
|
||||
ifeq ($(TARGET_ARCH),x86_64)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/lib64/stubs
|
||||
CUDA_SEARCH_PATH += $(CUDA_PATH)/targets/x86_64-linux/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/armv7-linux-gnueabihf/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/aarch64-linux/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/armv7-linux-androideabi/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/aarch64-linux-androideabi/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/ARMv7-linux-QNX/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/aarch64-qnx/lib/stubs
|
||||
endif
|
||||
|
||||
ifeq ($(TARGET_ARCH),ppc64le)
|
||||
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/ppc64le-linux/lib/stubs
|
||||
endif
|
||||
|
||||
CUDALIB ?= $(shell find -L $(CUDA_SEARCH_PATH) -maxdepth 1 -name libcuda.so 2> /dev/null)
|
||||
ifeq ("$(CUDALIB)","")
|
||||
$(info >>> WARNING - libcuda.so not found, CUDA Driver is not installed. Please re-install the driver. <<<)
|
||||
SAMPLE_ENABLED := 0
|
||||
endif
|
||||
|
||||
LIBRARIES += -lcuda
|
||||
endif
|
||||
|
||||
ifeq ($(SAMPLE_ENABLED),0)
|
||||
EXEC ?= @echo "[@]"
|
||||
endif
|
||||
|
||||
################################################################################
|
||||
|
||||
# Target rules
|
||||
all: build
|
||||
|
||||
build: matrixMulDrv $(PTX_FILE)
|
||||
|
||||
check.deps:
|
||||
ifeq ($(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
|
||||
|
||||
$(PTX_FILE): matrixMul_kernel.cu
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -ptx $<
|
||||
$(EXEC) mkdir -p data
|
||||
$(EXEC) cp -f $@ ./data
|
||||
$(EXEC) mkdir -p ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
$(EXEC) cp -f $@ ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
|
||||
matrixMulDrv.o:matrixMulDrv.cpp
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
||||
|
||||
matrixMulDrv: matrixMulDrv.o
|
||||
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
|
||||
$(EXEC) mkdir -p ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
$(EXEC) cp $@ ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
|
||||
run: build
|
||||
$(EXEC) ./matrixMulDrv
|
||||
|
||||
clean:
|
||||
rm -f matrixMulDrv matrixMulDrv.o data/$(PTX_FILE) $(PTX_FILE)
|
||||
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/matrixMulDrv
|
||||
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/$(PTX_FILE)
|
||||
|
||||
clobber: clean
|
||||
94
Samples/matrixMulDrv/README.md
Normal file
94
Samples/matrixMulDrv/README.md
Normal file
@@ -0,0 +1,94 @@
|
||||
# matrixMulDrv - Matrix Multiplication (CUDA Driver API Version)
|
||||
|
||||
## Description
|
||||
|
||||
This sample implements matrix multiplication and uses the new CUDA 4.0 kernel launch Driver API. 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. CUBLAS provides high-performance matrix multiplication.
|
||||
|
||||
## Key Concepts
|
||||
|
||||
CUDA Driver API, Matrix Multiply
|
||||
|
||||
## Supported SM Architectures
|
||||
|
||||
[SM 3.0 ](https://developer.nvidia.com/cuda-gpus) [SM 3.5 ](https://developer.nvidia.com/cuda-gpus) [SM 3.7 ](https://developer.nvidia.com/cuda-gpus) [SM 5.0 ](https://developer.nvidia.com/cuda-gpus) [SM 5.2 ](https://developer.nvidia.com/cuda-gpus) [SM 6.0 ](https://developer.nvidia.com/cuda-gpus) [SM 6.1 ](https://developer.nvidia.com/cuda-gpus) [SM 7.0 ](https://developer.nvidia.com/cuda-gpus)
|
||||
|
||||
## Supported OSes
|
||||
|
||||
Linux, Windows, MacOSX
|
||||
|
||||
## Supported CPU Architecture
|
||||
|
||||
x86_64, ppc64le, armv7l, aarch64
|
||||
|
||||
## CUDA APIs involved
|
||||
|
||||
### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
|
||||
cuModuleLoad, cuModuleLoadDataEx, cuModuleGetFunction, cuMemAlloc, cuMemFree, cuMemcpyHtoD, cuMemcpyDtoH, cuLaunchKernel
|
||||
|
||||
## Prerequisites
|
||||
|
||||
Download and install the [CUDA Toolkit 9.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
|
||||
|
||||
## Build and Run
|
||||
|
||||
### Windows
|
||||
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
|
||||
```
|
||||
*_vs<version>.sln - for Visual Studio <version>
|
||||
```
|
||||
Each individual sample has its own set of solution files in its directory:
|
||||
|
||||
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
|
||||
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
|
||||
|
||||
### Linux
|
||||
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
|
||||
```
|
||||
$ cd <sample_dir>
|
||||
$ make
|
||||
```
|
||||
The samples makefiles can take advantage of certain options:
|
||||
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l, aarch64.
|
||||
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
|
||||
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/> `$ make TARGET_ARCH=aarch64` <br/>
|
||||
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
|
||||
* **dbg=1** - build with debug symbols
|
||||
```
|
||||
$ make dbg=1
|
||||
```
|
||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
|
||||
```
|
||||
$ make SMS="50 60"
|
||||
```
|
||||
|
||||
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
|
||||
```
|
||||
$ make HOST_COMPILER=g++
|
||||
```
|
||||
|
||||
### Mac
|
||||
The Mac samples are built using makefiles. To use the makefiles, change directory into the sample directory you wish to build, and run make:
|
||||
```
|
||||
$ cd <sample_dir>
|
||||
$ make
|
||||
```
|
||||
|
||||
The samples makefiles can take advantage of certain options:
|
||||
|
||||
* **dbg=1** - build with debug symbols
|
||||
```
|
||||
$ make dbg=1
|
||||
```
|
||||
|
||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where "A B ..." is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use SMS="50 60".
|
||||
```
|
||||
$ make SMS="A B ..."
|
||||
```
|
||||
|
||||
* **HOST_COMPILER=<host_compiler>** - override the default clang host compiler. See the [Mac Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html#system-requirements) for a list of supported host compilers.
|
||||
```
|
||||
$ make HOST_COMPILER=clang
|
||||
```
|
||||
|
||||
## References (for more details)
|
||||
|
||||
40
Samples/matrixMulDrv/matrixMul.h
Normal file
40
Samples/matrixMulDrv/matrixMul.h
Normal file
@@ -0,0 +1,40 @@
|
||||
/* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions
|
||||
* are met:
|
||||
* * Redistributions of source code must retain the above copyright
|
||||
* notice, this list of conditions and the following disclaimer.
|
||||
* * Redistributions in binary form must reproduce the above copyright
|
||||
* notice, this list of conditions and the following disclaimer in the
|
||||
* documentation and/or other materials provided with the distribution.
|
||||
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
||||
* contributors may be used to endorse or promote products derived
|
||||
* from this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
||||
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
||||
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
||||
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
||||
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
||||
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
||||
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*/
|
||||
|
||||
#ifndef _MATRIXMUL_H_
|
||||
#define _MATRIXMUL_H_
|
||||
|
||||
// Matrix dimensions
|
||||
// (chosen as multiples of the thread block size for simplicity)
|
||||
#define WA (4 * block_size) // Matrix A width
|
||||
#define HA (6 * block_size) // Matrix A height
|
||||
#define WB (4 * block_size) // Matrix B width
|
||||
#define HB WA // Matrix B height
|
||||
#define WC WB // Matrix C width
|
||||
#define HC HA // Matrix C height
|
||||
|
||||
#endif // _MATRIXMUL_H_
|
||||
436
Samples/matrixMulDrv/matrixMulDrv.cpp
Normal file
436
Samples/matrixMulDrv/matrixMulDrv.cpp
Normal file
@@ -0,0 +1,436 @@
|
||||
/* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions
|
||||
* are met:
|
||||
* * Redistributions of source code must retain the above copyright
|
||||
* notice, this list of conditions and the following disclaimer.
|
||||
* * Redistributions in binary form must reproduce the above copyright
|
||||
* notice, this list of conditions and the following disclaimer in the
|
||||
* documentation and/or other materials provided with the distribution.
|
||||
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
||||
* contributors may be used to endorse or promote products derived
|
||||
* from this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
||||
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
||||
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
||||
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
||||
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
||||
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
||||
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*/
|
||||
|
||||
/* Matrix multiplication: C = A * B.
|
||||
* Host code.
|
||||
*
|
||||
* This sample implements matrix multiplication using the CUDA driver API.
|
||||
* 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.
|
||||
*
|
||||
* CUBLAS provides high-performance 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.
|
||||
*
|
||||
* Volkov, V. 2010. Better performance at lower occupancy,
|
||||
* GPU Technology Conference 2~010 (GTC 2010).
|
||||
*
|
||||
*/
|
||||
|
||||
// includes, system
|
||||
#include <builtin_types.h>
|
||||
#include <cuda.h>
|
||||
#include <drvapi_error_string.h>
|
||||
#include <math.h>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
|
||||
// includes, project
|
||||
#include <helper_cuda_drvapi.h>
|
||||
#include <helper_image.h>
|
||||
#include <helper_string.h>
|
||||
#include <helper_timer.h>
|
||||
|
||||
#include <cstring>
|
||||
#include <iostream>
|
||||
#include <string>
|
||||
#include "matrixMul.h"
|
||||
|
||||
// includes, CUDA
|
||||
const bool use_64bit_memory_address = false;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// declaration, forward
|
||||
void runTest(int argc, char **argv);
|
||||
void randomInit(float *, int);
|
||||
|
||||
extern "C" void computeGold(float *, const float *, const float *, unsigned int,
|
||||
unsigned int, unsigned int);
|
||||
|
||||
static CUresult initCUDA(int argc, char **argv, CUfunction *pMatrixMul);
|
||||
|
||||
// define input ptx file for different platforms
|
||||
#if defined(_WIN64) || defined(__LP64__)
|
||||
#define PTX_FILE "matrixMul_kernel64.ptx"
|
||||
#define CUBIN_FILE "matrixMul_kernel64.cubin"
|
||||
#else
|
||||
#define PTX_FILE "matrixMul_kernel32.ptx"
|
||||
#define CUBIN_FILE "matrixMul_kernel32.cubin"
|
||||
#endif
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Globals
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
CUdevice cuDevice;
|
||||
CUcontext cuContext;
|
||||
CUmodule cuModule;
|
||||
size_t totalGlobalMem;
|
||||
|
||||
const char *sSDKsample = "matrixMulDrv (Driver API)";
|
||||
|
||||
void constantInit(float *data, int size, float val) {
|
||||
for (int i = 0; i < size; ++i) {
|
||||
data[i] = val;
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Program main
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
int main(int argc, char **argv) {
|
||||
printf("[ %s ]\n", sSDKsample);
|
||||
|
||||
runTest(argc, argv);
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
//! Run a simple test for CUDA
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
void runTest(int argc, char **argv) {
|
||||
// initialize CUDA
|
||||
CUfunction matrixMul = NULL;
|
||||
int block_size = 32;
|
||||
|
||||
CUresult error_id = initCUDA(argc, argv, &matrixMul);
|
||||
|
||||
if (error_id != CUDA_SUCCESS) {
|
||||
printf("initCUDA() returned %d\n-> %s\n", error_id,
|
||||
getCudaDrvErrorString(error_id));
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
// set seed for rand()
|
||||
srand(2006);
|
||||
|
||||
// allocate host memory for matrices A and B
|
||||
unsigned int size_A = WA * HA;
|
||||
unsigned int mem_size_A = sizeof(float) * size_A;
|
||||
float *h_A = reinterpret_cast<float *>(malloc(mem_size_A));
|
||||
unsigned int size_B = WB * HB;
|
||||
unsigned int mem_size_B = sizeof(float) * size_B;
|
||||
float *h_B = reinterpret_cast<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);
|
||||
|
||||
// First reserve about 4GB of memory, so we ensure that all memory allocated
|
||||
// afterwards is > 4GB
|
||||
CUdeviceptr d_Mem[4];
|
||||
|
||||
if (use_64bit_memory_address) {
|
||||
unsigned int mem_size = 1024 * 1024 * 1024;
|
||||
checkCudaErrors(cuMemAlloc(&d_Mem[0], mem_size));
|
||||
checkCudaErrors(cuMemAlloc(&d_Mem[1], mem_size));
|
||||
checkCudaErrors(cuMemAlloc(&d_Mem[2], mem_size));
|
||||
checkCudaErrors(cuMemAlloc(&d_Mem[3], mem_size));
|
||||
}
|
||||
|
||||
// allocate device memory
|
||||
CUdeviceptr d_A;
|
||||
checkCudaErrors(cuMemAlloc(&d_A, mem_size_A));
|
||||
CUdeviceptr d_B;
|
||||
checkCudaErrors(cuMemAlloc(&d_B, mem_size_B));
|
||||
|
||||
// copy host memory to device
|
||||
checkCudaErrors(cuMemcpyHtoD(d_A, h_A, mem_size_A));
|
||||
checkCudaErrors(cuMemcpyHtoD(d_B, h_B, mem_size_B));
|
||||
|
||||
// allocate device memory for result
|
||||
size_t size_C = WC * HC;
|
||||
size_t mem_size_C = sizeof(float) * size_C;
|
||||
|
||||
CUdeviceptr d_C;
|
||||
checkCudaErrors(cuMemAlloc(&d_C, mem_size_C));
|
||||
|
||||
// allocate mem for the result on host side
|
||||
float *h_C = reinterpret_cast<float *>(malloc(mem_size_C));
|
||||
|
||||
// create and start timer
|
||||
StopWatchInterface *timer = NULL;
|
||||
sdkCreateTimer(&timer);
|
||||
|
||||
// start the timer
|
||||
sdkStartTimer(&timer);
|
||||
|
||||
// There are two ways to launch CUDA kernels via the Driver API.
|
||||
// In this CUDA Sample, we illustrate both ways to pass parameters
|
||||
// and specify parameters. By default we use the simpler method.
|
||||
dim3 block(block_size, block_size, 1);
|
||||
dim3 grid(WC / block_size, HC / block_size, 1);
|
||||
|
||||
if (1) {
|
||||
// This is the new CUDA 4.0 API for Kernel Parameter passing and Kernel
|
||||
// Launching (simplier method)
|
||||
if (use_64bit_memory_address &&
|
||||
(totalGlobalMem > (uint64_t)4 * 1024 * 1024 * 1024L)) {
|
||||
size_t Matrix_Width_A = (size_t)WA;
|
||||
size_t Matrix_Width_B = (size_t)WB;
|
||||
void *args[5] = {&d_C, &d_A, &d_B, &Matrix_Width_A, &Matrix_Width_B};
|
||||
// new CUDA 4.0 Driver API Kernel launch call
|
||||
checkCudaErrors(cuLaunchKernel(
|
||||
matrixMul, grid.x, grid.y, grid.z, block.x, block.y, block.z,
|
||||
2 * block_size * block_size * sizeof(float), NULL, args, NULL));
|
||||
|
||||
} else {
|
||||
int Matrix_Width_A = WA;
|
||||
int Matrix_Width_B = WB;
|
||||
void *args[5] = {&d_C, &d_A, &d_B, &Matrix_Width_A, &Matrix_Width_B};
|
||||
// new CUDA 4.0 Driver API Kernel launch call
|
||||
checkCudaErrors(cuLaunchKernel(
|
||||
matrixMul, grid.x, grid.y, grid.z, block.x, block.y, block.z,
|
||||
2 * block_size * block_size * sizeof(float), NULL, args, NULL));
|
||||
}
|
||||
|
||||
} else {
|
||||
// This is the new CUDA 4.0 API for Kernel Parameter passing and Kernel
|
||||
// Launching (advanced method)
|
||||
int offset = 0;
|
||||
char argBuffer[256];
|
||||
|
||||
// pass in launch parameters (not actually de-referencing CUdeviceptr).
|
||||
// CUdeviceptr is storing the value of the parameters
|
||||
*(reinterpret_cast<CUdeviceptr *>(&argBuffer[offset])) = d_C;
|
||||
offset += sizeof(d_C);
|
||||
*(reinterpret_cast<CUdeviceptr *>(&argBuffer[offset])) = d_A;
|
||||
offset += sizeof(d_A);
|
||||
*(reinterpret_cast<CUdeviceptr *>(&argBuffer[offset])) = d_B;
|
||||
offset += sizeof(d_B);
|
||||
|
||||
if (use_64bit_memory_address &&
|
||||
(totalGlobalMem > (uint64_t)4 * 1024 * 1024 * 1024L)) {
|
||||
size_t Matrix_Width_A = (size_t)WA;
|
||||
size_t Matrix_Width_B = (size_t)WB;
|
||||
|
||||
*(reinterpret_cast<CUdeviceptr *>(&argBuffer[offset])) = Matrix_Width_A;
|
||||
offset += sizeof(Matrix_Width_A);
|
||||
*(reinterpret_cast<CUdeviceptr *>(&argBuffer[offset])) = Matrix_Width_B;
|
||||
offset += sizeof(Matrix_Width_B);
|
||||
} else {
|
||||
int Matrix_Width_A = WA;
|
||||
int Matrix_Width_B = WB;
|
||||
|
||||
*(reinterpret_cast<int *>(&argBuffer[offset])) = Matrix_Width_A;
|
||||
offset += sizeof(Matrix_Width_A);
|
||||
*(reinterpret_cast<int *>(&argBuffer[offset])) = Matrix_Width_B;
|
||||
offset += sizeof(Matrix_Width_B);
|
||||
}
|
||||
|
||||
void *kernel_launch_config[5] = {CU_LAUNCH_PARAM_BUFFER_POINTER, argBuffer,
|
||||
CU_LAUNCH_PARAM_BUFFER_SIZE, &offset,
|
||||
CU_LAUNCH_PARAM_END};
|
||||
|
||||
// new CUDA 4.0 Driver API Kernel launch call
|
||||
checkCudaErrors(cuLaunchKernel(
|
||||
matrixMul, grid.x, grid.y, grid.z, block.x, block.y, block.z,
|
||||
2 * block_size * block_size * sizeof(float), NULL, NULL,
|
||||
reinterpret_cast<void **>(&kernel_launch_config)));
|
||||
}
|
||||
|
||||
// copy result from device to host
|
||||
checkCudaErrors(cuMemcpyDtoH(reinterpret_cast<void *>(h_C), d_C, mem_size_C));
|
||||
|
||||
// stop and destroy timer
|
||||
sdkStopTimer(&timer);
|
||||
printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer));
|
||||
sdkDeleteTimer(&timer);
|
||||
|
||||
printf("Checking computed result for correctness: ");
|
||||
bool correct = true;
|
||||
|
||||
for (int i = 0; i < static_cast<int>(WC * HC); i++) {
|
||||
if (fabs(h_C[i] - (WA * valB)) > 1e-5) {
|
||||
printf("Error! Matrix[%05d]=%.8f, ref=%.8f error term is > 1e-5\n", i,
|
||||
h_C[i], WA * valB);
|
||||
correct = false;
|
||||
}
|
||||
}
|
||||
|
||||
printf("%s\n", correct ? "Result = PASS" : "Result = FAIL");
|
||||
|
||||
printf(
|
||||
"\nNOTE: The CUDA Samples are not meant for performance measurements. "
|
||||
"Results may vary when GPU Boost is enabled.\n");
|
||||
|
||||
// clean up memory
|
||||
if (use_64bit_memory_address) {
|
||||
cuMemFree(d_Mem[0]);
|
||||
cuMemFree(d_Mem[1]);
|
||||
cuMemFree(d_Mem[2]);
|
||||
cuMemFree(d_Mem[3]);
|
||||
}
|
||||
|
||||
free(h_A);
|
||||
free(h_B);
|
||||
free(h_C);
|
||||
checkCudaErrors(cuMemFree(d_A));
|
||||
checkCudaErrors(cuMemFree(d_B));
|
||||
checkCudaErrors(cuMemFree(d_C));
|
||||
checkCudaErrors(cuCtxDestroy(cuContext));
|
||||
}
|
||||
|
||||
// Allocates a matrix with random float entries.
|
||||
void randomInit(float *data, int size) {
|
||||
for (int i = 0; i < size; ++i) {
|
||||
data[i] = rand() / static_cast<float>(RAND_MAX);
|
||||
}
|
||||
}
|
||||
|
||||
bool inline findModulePath(const char *module_file, std::string &module_path,
|
||||
char **argv, std::string &ptx_source) {
|
||||
char *actual_path = sdkFindFilePath(module_file, argv[0]);
|
||||
|
||||
if (actual_path) {
|
||||
module_path = actual_path;
|
||||
} else {
|
||||
printf("> findModulePath file not found: <%s> \n", module_file);
|
||||
return false;
|
||||
}
|
||||
|
||||
if (module_path.empty()) {
|
||||
printf("> findModulePath file not found: <%s> \n", module_file);
|
||||
return false;
|
||||
} else {
|
||||
printf("> findModulePath <%s>\n", module_path.c_str());
|
||||
|
||||
if (module_path.rfind(".ptx") != std::string::npos) {
|
||||
FILE *fp = fopen(module_path.c_str(), "rb");
|
||||
fseek(fp, 0, SEEK_END);
|
||||
int file_size = ftell(fp);
|
||||
char *buf = new char[file_size + 1];
|
||||
fseek(fp, 0, SEEK_SET);
|
||||
fread(buf, sizeof(char), file_size, fp);
|
||||
fclose(fp);
|
||||
buf[file_size] = '\0';
|
||||
ptx_source = buf;
|
||||
delete[] buf;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
static CUresult initCUDA(int argc, char **argv, CUfunction *pMatrixMul) {
|
||||
CUfunction cuFunction = 0;
|
||||
CUresult status;
|
||||
int major = 0, minor = 0;
|
||||
char deviceName[100];
|
||||
std::string module_path, ptx_source;
|
||||
|
||||
cuDevice = findCudaDeviceDRV(argc, (const char **)argv);
|
||||
|
||||
// get compute capabilities and the devicename
|
||||
checkCudaErrors(cuDeviceGetAttribute(
|
||||
&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice));
|
||||
checkCudaErrors(cuDeviceGetAttribute(
|
||||
&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevice));
|
||||
checkCudaErrors(cuDeviceGetName(deviceName, 256, cuDevice));
|
||||
printf("> GPU Device has SM %d.%d compute capability\n", major, minor);
|
||||
|
||||
checkCudaErrors(cuDeviceTotalMem(&totalGlobalMem, cuDevice));
|
||||
printf(" Total amount of global memory: %llu bytes\n",
|
||||
(long long unsigned int)totalGlobalMem);
|
||||
printf(" 64-bit Memory Address: %s\n",
|
||||
(totalGlobalMem > (uint64_t)4 * 1024 * 1024 * 1024L) ? "YES" : "NO");
|
||||
|
||||
status = cuCtxCreate(&cuContext, 0, cuDevice);
|
||||
|
||||
if (CUDA_SUCCESS != status) {
|
||||
goto Error;
|
||||
}
|
||||
|
||||
// first search for the module path before we load the results
|
||||
if (!findModulePath(PTX_FILE, module_path, argv, ptx_source)) {
|
||||
if (!findModulePath(CUBIN_FILE, module_path, argv, ptx_source)) {
|
||||
printf(
|
||||
"> findModulePath could not find <matrixMul_kernel> ptx or cubin\n");
|
||||
status = CUDA_ERROR_NOT_FOUND;
|
||||
goto Error;
|
||||
}
|
||||
} else {
|
||||
printf("> initCUDA loading module: <%s>\n", module_path.c_str());
|
||||
}
|
||||
|
||||
if (module_path.rfind("ptx") != std::string::npos) {
|
||||
// in this branch we use compilation with parameters
|
||||
const unsigned int jitNumOptions = 3;
|
||||
CUjit_option *jitOptions = new CUjit_option[jitNumOptions];
|
||||
void **jitOptVals = new void *[jitNumOptions];
|
||||
|
||||
// set up size of compilation log buffer
|
||||
jitOptions[0] = CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES;
|
||||
int jitLogBufferSize = 1024;
|
||||
jitOptVals[0] = reinterpret_cast<void *>(jitLogBufferSize);
|
||||
|
||||
// set up pointer to the compilation log buffer
|
||||
jitOptions[1] = CU_JIT_INFO_LOG_BUFFER;
|
||||
char *jitLogBuffer = new char[jitLogBufferSize];
|
||||
jitOptVals[1] = jitLogBuffer;
|
||||
|
||||
// set up pointer to set the Maximum # of registers for a particular kernel
|
||||
jitOptions[2] = CU_JIT_MAX_REGISTERS;
|
||||
int jitRegCount = 32;
|
||||
jitOptVals[2] = reinterpret_cast<void *>(jitRegCount);
|
||||
|
||||
status =
|
||||
cuModuleLoadDataEx(&cuModule, ptx_source.c_str(), jitNumOptions,
|
||||
jitOptions, reinterpret_cast<void **>(jitOptVals));
|
||||
|
||||
printf("> PTX JIT log:\n%s\n", jitLogBuffer);
|
||||
} else {
|
||||
status = cuModuleLoad(&cuModule, module_path.c_str());
|
||||
}
|
||||
|
||||
if (CUDA_SUCCESS != status) {
|
||||
goto Error;
|
||||
}
|
||||
|
||||
#if USE_64BIT_MEMORY_ADDRESS
|
||||
|
||||
if (totalGlobalMem > (uint64_t)4 * 1024 * 1024 * 1024L) {
|
||||
status = cuModuleGetFunction(&cuFunction, cuModule, "matrixMul_bs32_64bit");
|
||||
} else
|
||||
#endif
|
||||
{
|
||||
status = cuModuleGetFunction(&cuFunction, cuModule, "matrixMul_bs32_32bit");
|
||||
}
|
||||
|
||||
if (CUDA_SUCCESS != status) {
|
||||
goto Error;
|
||||
}
|
||||
|
||||
*pMatrixMul = cuFunction;
|
||||
|
||||
return CUDA_SUCCESS;
|
||||
Error:
|
||||
cuCtxDestroy(cuContext);
|
||||
return status;
|
||||
}
|
||||
20
Samples/matrixMulDrv/matrixMulDrv_vs2010.sln
Normal file
20
Samples/matrixMulDrv/matrixMulDrv_vs2010.sln
Normal file
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 11.00
|
||||
# Visual Studio 2010
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "matrixMulDrv", "matrixMulDrv_vs2010.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
|
||||
Release|x64 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
|
||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
EndGlobal
|
||||
110
Samples/matrixMulDrv/matrixMulDrv_vs2010.vcxproj
Normal file
110
Samples/matrixMulDrv/matrixMulDrv_vs2010.vcxproj
Normal file
@@ -0,0 +1,110 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<PropertyGroup>
|
||||
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
|
||||
</PropertyGroup>
|
||||
<ItemGroup Label="ProjectConfigurations">
|
||||
<ProjectConfiguration Include="Debug|x64">
|
||||
<Configuration>Debug</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
<ProjectConfiguration Include="Release|x64">
|
||||
<Configuration>Release</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>matrixMulDrv_vs2010</RootNamespace>
|
||||
<ProjectName>matrixMulDrv</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<PropertyGroup>
|
||||
<ConfigurationType>Application</ConfigurationType>
|
||||
<CharacterSet>MultiByte</CharacterSet>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<UseDebugLibraries>true</UseDebugLibraries>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Release'">
|
||||
<WholeProgramOptimization>true</WholeProgramOptimization>
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||
<ImportGroup Label="ExtensionSettings">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 9.2.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
|
||||
</ImportGroup>
|
||||
<PropertyGroup Label="UserMacros" />
|
||||
<PropertyGroup>
|
||||
<IntDir>$(Platform)/$(Configuration)/</IntDir>
|
||||
<IncludePath>$(IncludePath)</IncludePath>
|
||||
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
|
||||
<CodeAnalysisRules />
|
||||
<CodeAnalysisRuleAssemblies />
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Platform)'=='x64'">
|
||||
<OutDir>../../bin/win64/$(Configuration)/</OutDir>
|
||||
</PropertyGroup>
|
||||
<ItemDefinitionGroup>
|
||||
<ClCompile>
|
||||
<WarningLevel>Level3</WarningLevel>
|
||||
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../Common;</AdditionalIncludeDirectories>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<SubSystem>Console</SubSystem>
|
||||
<AdditionalDependencies>cuda.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
|
||||
<OutputFile>$(OutDir)/matrixMulDrv.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration>compute_30,compute_30;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
|
||||
<Include>./;../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<ClCompile>
|
||||
<Optimization>Disabled</Optimization>
|
||||
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MTd</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
|
||||
<ClCompile>
|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="matrixMulDrv.cpp" />
|
||||
<CudaCompile Include="matrixMul_kernel.cu">
|
||||
<CompileOut Condition="'$(Platform)'=='x64'">data/%(Filename)64.ptx</CompileOut>
|
||||
<NvccCompilation>ptx</NvccCompilation>
|
||||
</CudaCompile>
|
||||
<ClInclude Include="matrixMul.h" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 9.2.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
20
Samples/matrixMulDrv/matrixMulDrv_vs2012.sln
Normal file
20
Samples/matrixMulDrv/matrixMulDrv_vs2012.sln
Normal file
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2012
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "matrixMulDrv", "matrixMulDrv_vs2012.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
|
||||
Release|x64 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
|
||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
EndGlobal
|
||||
111
Samples/matrixMulDrv/matrixMulDrv_vs2012.vcxproj
Normal file
111
Samples/matrixMulDrv/matrixMulDrv_vs2012.vcxproj
Normal file
@@ -0,0 +1,111 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<PropertyGroup>
|
||||
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
|
||||
</PropertyGroup>
|
||||
<ItemGroup Label="ProjectConfigurations">
|
||||
<ProjectConfiguration Include="Debug|x64">
|
||||
<Configuration>Debug</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
<ProjectConfiguration Include="Release|x64">
|
||||
<Configuration>Release</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>matrixMulDrv_vs2012</RootNamespace>
|
||||
<ProjectName>matrixMulDrv</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<PropertyGroup>
|
||||
<ConfigurationType>Application</ConfigurationType>
|
||||
<CharacterSet>MultiByte</CharacterSet>
|
||||
<PlatformToolset>v110</PlatformToolset>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<UseDebugLibraries>true</UseDebugLibraries>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Release'">
|
||||
<WholeProgramOptimization>true</WholeProgramOptimization>
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||
<ImportGroup Label="ExtensionSettings">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 9.2.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
|
||||
</ImportGroup>
|
||||
<PropertyGroup Label="UserMacros" />
|
||||
<PropertyGroup>
|
||||
<IntDir>$(Platform)/$(Configuration)/</IntDir>
|
||||
<IncludePath>$(IncludePath)</IncludePath>
|
||||
<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
|
||||
<CodeAnalysisRules />
|
||||
<CodeAnalysisRuleAssemblies />
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Platform)'=='x64'">
|
||||
<OutDir>../../bin/win64/$(Configuration)/</OutDir>
|
||||
</PropertyGroup>
|
||||
<ItemDefinitionGroup>
|
||||
<ClCompile>
|
||||
<WarningLevel>Level3</WarningLevel>
|
||||
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../Common;</AdditionalIncludeDirectories>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<SubSystem>Console</SubSystem>
|
||||
<AdditionalDependencies>cuda.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
|
||||
<OutputFile>$(OutDir)/matrixMulDrv.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration>compute_30,compute_30;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
|
||||
<Include>./;../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<ClCompile>
|
||||
<Optimization>Disabled</Optimization>
|
||||
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MTd</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
|
||||
<ClCompile>
|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="matrixMulDrv.cpp" />
|
||||
<CudaCompile Include="matrixMul_kernel.cu">
|
||||
<CompileOut Condition="'$(Platform)'=='x64'">data/%(Filename)64.ptx</CompileOut>
|
||||
<NvccCompilation>ptx</NvccCompilation>
|
||||
</CudaCompile>
|
||||
<ClInclude Include="matrixMul.h" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 9.2.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
20
Samples/matrixMulDrv/matrixMulDrv_vs2013.sln
Normal file
20
Samples/matrixMulDrv/matrixMulDrv_vs2013.sln
Normal file
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 13.00
|
||||
# Visual Studio 2013
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "matrixMulDrv", "matrixMulDrv_vs2013.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
|
||||
Release|x64 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
|
||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
EndGlobal
|
||||
111
Samples/matrixMulDrv/matrixMulDrv_vs2013.vcxproj
Normal file
111
Samples/matrixMulDrv/matrixMulDrv_vs2013.vcxproj
Normal file
@@ -0,0 +1,111 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<PropertyGroup>
|
||||
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
|
||||
</PropertyGroup>
|
||||
<ItemGroup Label="ProjectConfigurations">
|
||||
<ProjectConfiguration Include="Debug|x64">
|
||||
<Configuration>Debug</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
<ProjectConfiguration Include="Release|x64">
|
||||
<Configuration>Release</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>matrixMulDrv_vs2013</RootNamespace>
|
||||
<ProjectName>matrixMulDrv</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<PropertyGroup>
|
||||
<ConfigurationType>Application</ConfigurationType>
|
||||
<CharacterSet>MultiByte</CharacterSet>
|
||||
<PlatformToolset>v120</PlatformToolset>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<UseDebugLibraries>true</UseDebugLibraries>
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)'=='Release'">
|
||||
<WholeProgramOptimization>true</WholeProgramOptimization>
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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Normal file
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<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
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<ClCompile>
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<GenerateDebugInformation>true</GenerateDebugInformation>
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<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
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</Link>
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<CudaCompile>
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<Runtime>MTd</Runtime>
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<TargetMachinePlatform>64</TargetMachinePlatform>
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
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20
Samples/matrixMulDrv/matrixMulDrv_vs2017.sln
Normal file
20
Samples/matrixMulDrv/matrixMulDrv_vs2017.sln
Normal file
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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio 2017
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112
Samples/matrixMulDrv/matrixMulDrv_vs2017.vcxproj
Normal file
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Samples/matrixMulDrv/matrixMulDrv_vs2017.vcxproj
Normal file
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<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
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<CodeAnalysisRules />
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<CodeAnalysisRuleAssemblies />
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|
||||
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|
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139
Samples/matrixMulDrv/matrixMul_kernel.cu
Normal file
139
Samples/matrixMulDrv/matrixMul_kernel.cu
Normal file
@@ -0,0 +1,139 @@
|
||||
/* Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* Redistribution and use in source and binary forms, with or without
|
||||
* modification, are permitted provided that the following conditions
|
||||
* are met:
|
||||
* * Redistributions of source code must retain the above copyright
|
||||
* notice, this list of conditions and the following disclaimer.
|
||||
* * Redistributions in binary form must reproduce the above copyright
|
||||
* notice, this list of conditions and the following disclaimer in the
|
||||
* documentation and/or other materials provided with the distribution.
|
||||
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
||||
* contributors may be used to endorse or promote products derived
|
||||
* from this software without specific prior written permission.
|
||||
*
|
||||
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
||||
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||||
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
||||
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
||||
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
||||
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
||||
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
||||
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||||
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*/
|
||||
|
||||
/* Matrix multiplication: C = A * B.
|
||||
* Device code.
|
||||
*/
|
||||
|
||||
#ifndef _MATRIXMUL_KERNEL_H_
|
||||
#define _MATRIXMUL_KERNEL_H_
|
||||
|
||||
#include <stdio.h>
|
||||
|
||||
#define CHECK_BANK_CONFLICTS 0
|
||||
#if CHECK_BANK_CONFLICTS
|
||||
#define AS(i, j) \
|
||||
cutilBankChecker((reinterpret_cast<float *>(&As[0][0])), (block_size * i + j))
|
||||
#define BS(i, j) \
|
||||
cutilBankChecker((reinterpret_cast<float *>(&Bs[0][0])), (block_size * i + j))
|
||||
#else
|
||||
#define AS(i, j) As[i][j]
|
||||
#define BS(i, j) Bs[i][j]
|
||||
#endif
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
//! Matrix multiplication on the device: C = A * B
|
||||
//! wA is A's width and wB is B's width
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
template <int block_size, typename size_type>
|
||||
__device__ void matrixMul(float *C, float *A, float *B, size_type wA,
|
||||
size_type wB) {
|
||||
// Block index
|
||||
size_type bx = blockIdx.x;
|
||||
size_type by = blockIdx.y;
|
||||
|
||||
// Thread index
|
||||
size_type tx = threadIdx.x;
|
||||
size_type ty = threadIdx.y;
|
||||
|
||||
// Index of the first sub-matrix of A processed by the block
|
||||
size_type aBegin = wA * block_size * by;
|
||||
|
||||
// Index of the last sub-matrix of A processed by the block
|
||||
size_type aEnd = aBegin + wA - 1;
|
||||
|
||||
// Step size used to iterate through the sub-matrices of A
|
||||
size_type aStep = block_size;
|
||||
|
||||
// Index of the first sub-matrix of B processed by the block
|
||||
size_type bBegin = block_size * bx;
|
||||
|
||||
// Step size used to iterate through the sub-matrices of B
|
||||
size_type 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 (size_type 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 (size_type 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
|
||||
size_type c = wB * block_size * by + block_size * bx;
|
||||
C[c + wB * ty + tx] = Csub;
|
||||
}
|
||||
|
||||
// C wrappers around our template kernel
|
||||
extern "C" __global__ void matrixMul_bs16_32bit(float *C, float *A, float *B,
|
||||
int wA, int wB) {
|
||||
matrixMul<16, int>(C, A, B, wA, wB);
|
||||
}
|
||||
extern "C" __global__ void matrixMul_bs16_64bit(float *C, float *A, float *B,
|
||||
size_t wA, size_t wB) {
|
||||
matrixMul<16, size_t>(C, A, B, wA, wB);
|
||||
}
|
||||
extern "C" __global__ void matrixMul_bs32_32bit(float *C, float *A, float *B,
|
||||
int wA, int wB) {
|
||||
matrixMul<32, int>(C, A, B, wA, wB);
|
||||
}
|
||||
extern "C" __global__ void matrixMul_bs32_64bit(float *C, float *A, float *B,
|
||||
size_t wA, size_t wB) {
|
||||
matrixMul<32, size_t>(C, A, B, wA, wB);
|
||||
}
|
||||
|
||||
#endif // #ifndef _MATRIXMUL_KERNEL_H_
|
||||
Reference in New Issue
Block a user