add and update samples for CUDA 11.5

This commit is contained in:
Rutwik Choughule
2021-10-21 16:34:49 +05:30
parent 3342d604fe
commit 1f76a2d110
2796 changed files with 1511725 additions and 827 deletions

View File

@@ -0,0 +1,18 @@
{
"configurations": [
{
"name": "Linux",
"includePath": [
"${workspaceFolder}/**",
"${workspaceFolder}/../../Common"
],
"defines": [],
"compilerPath": "/usr/local/cuda/bin/nvcc",
"cStandard": "gnu17",
"cppStandard": "gnu++14",
"intelliSenseMode": "linux-gcc-x64",
"configurationProvider": "ms-vscode.makefile-tools"
}
],
"version": 4
}

View File

@@ -0,0 +1,7 @@
{
"recommendations": [
"nvidia.nsight-vscode-edition",
"ms-vscode.cpptools",
"ms-vscode.makefile-tools"
]
}

View File

@@ -0,0 +1,10 @@
{
"configurations": [
{
"name": "CUDA C++: Launch",
"type": "cuda-gdb",
"request": "launch",
"program": "${workspaceFolder}/graphMemoryNodes"
}
]
}

View File

@@ -0,0 +1,15 @@
{
"version": "2.0.0",
"tasks": [
{
"label": "sample",
"type": "shell",
"command": "make dbg=1",
"problemMatcher": ["$nvcc"],
"group": {
"kind": "build",
"isDefault": true
}
}
]
}

View File

@@ -0,0 +1,368 @@
################################################################################
# Copyright (c) 2019, 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.
#
################################################################################
#
# 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 $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le armv7l))
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le))
TARGET_SIZE := 64
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
TARGET_SIZE := 32
endif
else
TARGET_SIZE := $(shell getconf LONG_BIT)
endif
else
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
endif
# sbsa and aarch64 systems look similar. Need to differentiate them at host level for now.
ifeq ($(HOST_ARCH),aarch64)
ifeq ($(CUDA_PATH)/targets/sbsa-linux,$(shell ls -1d $(CUDA_PATH)/targets/sbsa-linux 2>/dev/null))
HOST_ARCH := sbsa
TARGET_ARCH := sbsa
endif
endif
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-sbsa 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 ?= $(QNX_HOST)/usr/bin/q++
else ifeq ($(TARGET_OS), android)
HOST_COMPILER ?= aarch64-linux-android-clang++
endif
else ifeq ($(TARGET_ARCH),sbsa)
HOST_COMPILER ?= aarch64-linux-gnu-g++
else ifeq ($(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
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-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 -L$(TARGET_FS)/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/lib/aarch64-linux-gnu -L$(TARGET_FS)/lib/aarch64-linux-gnu
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib -L$(TARGET_FS)/usr/lib
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/aarch64-linux-gnu -L$(TARGET_FS)/usr/lib/aarch64-linux-gnu
LDFLAGS += --unresolved-symbols=ignore-in-shared-libs
CCFLAGS += -isystem=$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include/libdrm
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu -I$(TARGET_FS)/usr/include/aarch64-linux-gnu
endif
endif
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
NVCCFLAGS += --qpp-config 5.4.0,gcc_ntoaarch64le
CCFLAGS += -DWIN_INTERFACE_CUSTOM -I/usr/include/aarch64-qnx-gnu
LDFLAGS += -lsocket
LDFLAGS += -L/usr/lib/aarch64-qnx-gnu
CCFLAGS += "-Wl\,-rpath-link\,/usr/lib/aarch64-qnx-gnu"
ifdef TARGET_OVERRIDE
LDFLAGS += -lslog2
endif
ifneq ($(TARGET_FS),)
LDFLAGS += -L$(TARGET_FS)/usr/lib
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/lib"
LDFLAGS += -L$(TARGET_FS)/usr/libnvidia
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/libnvidia"
CCFLAGS += -I$(TARGET_FS)/../include
endif
endif
endif
ifdef TARGET_OVERRIDE # cuda toolkit targets override
NVCCFLAGS += -target-dir $(TARGET_OVERRIDE)
endif
# Install directory of different arch
CUDA_INSTALL_TARGET_DIR :=
ifeq ($(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)-$(TARGET_OS),sbsa-linux)
CUDA_INSTALL_TARGET_DIR = targets/sbsa-linux/
else ifeq ($(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))
SAMPLE_ENABLED := 1
# This sample is not supported on Mac OSX
ifeq ($(TARGET_OS),darwin)
$(info >>> WARNING - graphMemoryNodes is not supported on Mac OSX - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
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 :=
################################################################################
#Detect if installed version of GCC supports required C++11
ifeq ($(TARGET_OS),linux)
empty :=
space := $(empty) $(empty)
GCCVERSIONSTRING := $(shell expr `$(HOST_COMPILER) -dumpversion`)
#Create version number without "."
GCCVERSION := $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f1 -d.)
GCCVERSION += $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f2 -d.)
GCCVERSION += $(shell expr `echo $(GCCVERSIONSTRING)` | cut -f3 -d.)
# Make sure the version number has at least 3 decimals
GCCVERSION += 00
# Remove spaces from the version number
GCCVERSION := $(subst $(space),$(empty),$(GCCVERSION))
#$(warning $(GCCVERSION))
IS_MIN_VERSION := $(shell expr `echo $(GCCVERSION)` \>= 51000)
ifeq ($(IS_MIN_VERSION), 1)
$(info >>> GCC Version is greater or equal to 5.1.0 <<<)
else
$(info >>> Waiving build. Minimum GCC version required is 5.1.0<<<)
SAMPLE_ENABLED := 0
endif
endif
# Gencode arguments
ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64))
SMS ?= 35 37 50 52 60 61 70 72 75 80 86
else
SMS ?= 35 37 50 52 60 61 70 75 80 86
endif
ifeq ($(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
ALL_CCFLAGS += --threads 0 --std=c++11
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: graphMemoryNodes
check.deps:
ifeq ($(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
graphMemoryNodes.o:graphMemoryNodes.cu
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
graphMemoryNodes: graphMemoryNodes.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
$(EXEC) ./graphMemoryNodes
clean:
rm -f graphMemoryNodes graphMemoryNodes.o
rm -rf ../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/graphMemoryNodes
clobber: clean

View File

@@ -0,0 +1,68 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
<entry>
<name>graphMemoryNodes</name>
<cuda_api_list>
<toolkit>cudaMallocAsync</toolkit>
<toolkit>cudaFreeAsync</toolkit>
<toolkit>cudaGraphAddMemAllocNode</toolkit>
<toolkit>cudaGraphAddMemFreeNode</toolkit>
</cuda_api_list>
<description><![CDATA[A demonstration of memory allocations and frees within CUDA graphs using Graph APIs and Stream Capture APIs.]]></description>
<devicecompilation>whole</devicecompilation>
<includepaths>
<path>./</path>
<path>../</path>
<path>../../Common</path>
</includepaths>
<keyconcepts>
<concept level="basic">CUDA Graphs</concept>
<concept level="basic">Stream Capture</concept>
</keyconcepts>
<keywords>
<keyword>CUDA</keyword>
<keyword>CUDA Graphs</keyword>
<keyword>Streams</keyword>
<keyword>GPGPU</keyword>
<keyword>Graph Memory Nodes</keyword>
<keyword>Stream Ordered Allocation</keyword>
<keyword>Stream Ordered Allocator</keyword>
</keywords>
<libraries>
</libraries>
<librarypaths>
</librarypaths>
<nsight_eclipse>true</nsight_eclipse>
<primary_file>graphMemoryNodes.cu</primary_file>
<scopes>
<scope>1:CUDA Basic Topics</scope>
</scopes>
<sm-arch>sm60</sm-arch>
<sm-arch>sm61</sm-arch>
<sm-arch>sm70</sm-arch>
<sm-arch>sm72</sm-arch>
<sm-arch>sm75</sm-arch>
<sm-arch>sm80</sm-arch>
<sm-arch>sm86</sm-arch>
<supported_envs>
<env>
<arch>x86_64</arch>
<platform>linux</platform>
</env>
<env>
<platform>windows7</platform>
</env>
<env>
<arch>arm</arch>
</env>
<env>
<arch>ppc64le</arch>
<platform>linux</platform>
</env>
</supported_envs>
<supported_sm_architectures>
<from>6.0</from>
</supported_sm_architectures>
<title>Graph Memory Nodes</title>
<type>exe</type>
</entry>

View File

@@ -0,0 +1,70 @@
# graphMemoryNodes - Graph Memory Nodes
## Description
A demonstration of memory allocations and frees within CUDA graphs using Graph APIs and Stream Capture APIs.
## Key Concepts
CUDA Graphs, Stream Capture
## Supported SM Architectures
[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) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
## CUDA APIs involved
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
cudaMallocAsync, cudaFreeAsync, cudaGraphAddMemAllocNode, cudaGraphAddMemFreeNode
## Prerequisites
Download and install the [CUDA Toolkit 11.5](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.
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/>
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++
```
## References (for more details)

View File

@@ -0,0 +1,554 @@
/* Copyright (c) 2021, 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.
*/
// System includes
#include <assert.h>
#include <stdio.h>
#include <climits>
#include <vector>
// CUDA runtime
#include <cuda_runtime.h>
// helper functions and utilities to work with CUDA
#include <helper_cuda.h>
#include <helper_functions.h>
#define THREADS_PER_BLOCK 512
#define ALLOWABLE_VARIANCE 1.e-6f
#define NUM_ELEMENTS 8000000
// Stores the square of each input element in output array
__global__ void squareArray(const float *input, float *output,
int numElements) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < numElements) {
output[idx] = input[idx] * input[idx];
}
}
// Stores the negative of each input element in output array
__global__ void negateArray(const float *input, float *output,
int numElements) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < numElements) {
output[idx] = input[idx] * -1;
}
}
struct negSquareArrays {
float *input;
float *square;
float *negSquare;
int numElements;
size_t bytes;
size_t numBlocks;
};
void fillRandomly(float *array, int numElements) {
for (int n = 0; n < numElements; n++) {
array[n] = rand() / (float)RAND_MAX;
}
}
void resetOutputArrays(negSquareArrays *hostArrays) {
fillRandomly(hostArrays->square, hostArrays->numElements);
fillRandomly(hostArrays->negSquare, hostArrays->numElements);
}
void prepareHostArrays(negSquareArrays *hostArrays) {
hostArrays->numElements = NUM_ELEMENTS;
size_t bytes = hostArrays->numElements * sizeof(float);
size_t numBlocks = hostArrays->numElements / (size_t)THREADS_PER_BLOCK;
if ((numBlocks % (size_t)THREADS_PER_BLOCK) != 0) {
numBlocks++;
}
hostArrays->input = (float *)malloc(bytes);
hostArrays->square = (float *)malloc(bytes);
hostArrays->negSquare = (float *)malloc(bytes);
hostArrays->bytes = bytes;
hostArrays->numBlocks = numBlocks;
fillRandomly(hostArrays->input, hostArrays->numElements);
fillRandomly(hostArrays->square, hostArrays->numElements);
fillRandomly(hostArrays->negSquare, hostArrays->numElements);
}
void createFreeGraph(cudaGraphExec_t *graphExec, float *dPtr) {
cudaGraph_t graph;
cudaGraphNode_t freeNode;
checkCudaErrors(cudaGraphCreate(&graph, 0));
checkCudaErrors(
cudaGraphAddMemFreeNode(&freeNode, graph, NULL, 0, (void *)dPtr));
checkCudaErrors(cudaGraphInstantiate(graphExec, graph, NULL, NULL, 0));
checkCudaErrors(cudaGraphDestroy(graph));
}
/**
* Demonstrates explicitly creating a CUDA graph including memory nodes.
* createNegateSquaresGraphWithStreamCapture constructs an equivalent graph
* using stream capture.
*
* If d_negSquare_out is non null, then:
* 1) d_negSquare will not be freed;
* 2) the value of d_negSquare_out will be set to d_negSquare.
*
* Diagram of the graph constructed by createNegateSquaresGraphExplicitly:
*
* alloc d_input
* |
* alloc d_square
* |
* Memcpy a to device
* |
* launch kernel squareArray ------->---- Memcpy d_square to host
* | |
* free d_input |
* | |
* allocate d_negSquare |
* | |
* launch kernel negateArray -------->--- free d_square
* |
* Memcpy d_negSquare to host
* |
* free d_negSquare
*/
void createNegateSquaresGraphExplicitly(cudaGraphExec_t *graphExec, int device,
negSquareArrays *hostArrays,
float **d_negSquare_out = NULL) {
// Array buffers on device
float *d_input, *d_square, *d_negSquare;
// Memory allocation parameters
cudaMemAllocNodeParams allocParams;
memset(&allocParams, 0, sizeof(allocParams));
allocParams.bytesize = hostArrays->bytes;
allocParams.poolProps.allocType = cudaMemAllocationTypePinned;
allocParams.poolProps.location.id = device;
allocParams.poolProps.location.type = cudaMemLocationTypeDevice;
// Kernel launch parameters
cudaKernelNodeParams kernelNodeParams = {0};
kernelNodeParams.gridDim = dim3(hostArrays->numBlocks, 1, 1);
kernelNodeParams.blockDim = dim3(THREADS_PER_BLOCK, 1, 1);
kernelNodeParams.sharedMemBytes = 0;
kernelNodeParams.extra = NULL;
cudaGraph_t graph;
cudaGraphNode_t allocNodeInput, allocNodeSquare, allocNodeNegSquare;
cudaGraphNode_t copyNodeInput, copyNodeSquare, copyNodeNegSquare;
cudaGraphNode_t squareKernelNode, negateKernelNode;
cudaGraphNode_t freeNodeInput, freeNodeSquare;
// Buffer for storing graph node dependencies
std::vector<cudaGraphNode_t> nodeDependencies;
checkCudaErrors(cudaGraphCreate(&graph, 0));
checkCudaErrors(
cudaGraphAddMemAllocNode(&allocNodeInput, graph, NULL, 0, &allocParams));
d_input = (float *)allocParams.dptr;
// To keep the graph structure simple (fewer branching dependencies),
// allocNodeSquare should depend on allocNodeInput
checkCudaErrors(cudaGraphAddMemAllocNode(&allocNodeSquare, graph,
&allocNodeInput, 1, &allocParams));
d_square = (float *)allocParams.dptr;
// copyNodeInput needs to depend on allocNodeInput because copyNodeInput
// writes to d_input. It does so here indirectly through allocNodeSquare.
checkCudaErrors(cudaGraphAddMemcpyNode1D(
&copyNodeInput, graph, &allocNodeSquare, 1, d_input, hostArrays->input,
hostArrays->bytes, cudaMemcpyHostToDevice));
void *squareKernelArgs[3] = {(void *)&d_input, (void *)&d_square,
(void *)&(hostArrays->numElements)};
kernelNodeParams.func = (void *)squareArray;
kernelNodeParams.kernelParams = (void **)squareKernelArgs;
// Square kernel depends on copyNodeInput to ensure all data is on the device
// before kernel launch.
checkCudaErrors(cudaGraphAddKernelNode(&squareKernelNode, graph,
&copyNodeInput, 1, &kernelNodeParams));
checkCudaErrors(cudaGraphAddMemcpyNode1D(
&copyNodeSquare, graph, &squareKernelNode, 1, hostArrays->square,
d_square, hostArrays->bytes, cudaMemcpyDeviceToHost));
// Free of d_input depends on the square kernel to ensure that d_input is not
// freed while being read by the kernel. It also depends on the alloc of
// d_input via squareKernelNode > copyNodeInput > allocNodeSquare >
// allocNodeInput.
checkCudaErrors(cudaGraphAddMemFreeNode(&freeNodeInput, graph,
&squareKernelNode, 1, d_input));
// Allocation of C depends on free of A so CUDA can reuse the virtual address.
checkCudaErrors(cudaGraphAddMemAllocNode(&allocNodeNegSquare, graph,
&freeNodeInput, 1, &allocParams));
d_negSquare = (float *)allocParams.dptr;
if (d_negSquare == d_input) {
printf(
"Check verified that d_negSquare and d_input share a virtual "
"address.\n");
}
void *negateKernelArgs[3] = {(void *)&d_square, (void *)&d_negSquare,
(void *)&(hostArrays->numElements)};
kernelNodeParams.func = (void *)negateArray;
kernelNodeParams.kernelParams = (void **)negateKernelArgs;
checkCudaErrors(cudaGraphAddKernelNode(
&negateKernelNode, graph, &allocNodeNegSquare, 1, &kernelNodeParams));
nodeDependencies.push_back(copyNodeSquare);
nodeDependencies.push_back(negateKernelNode);
checkCudaErrors(cudaGraphAddMemFreeNode(&freeNodeSquare, graph,
nodeDependencies.data(),
nodeDependencies.size(), d_square));
nodeDependencies.clear();
checkCudaErrors(cudaGraphAddMemcpyNode1D(
&copyNodeNegSquare, graph, &negateKernelNode, 1, hostArrays->negSquare,
d_negSquare, hostArrays->bytes, cudaMemcpyDeviceToHost));
if (d_negSquare_out == NULL) {
cudaGraphNode_t freeNodeNegSquare;
checkCudaErrors(cudaGraphAddMemFreeNode(
&freeNodeNegSquare, graph, &copyNodeNegSquare, 1, d_negSquare));
} else {
*d_negSquare_out = d_negSquare;
}
checkCudaErrors(cudaGraphInstantiate(graphExec, graph, NULL, NULL, 0));
checkCudaErrors(cudaGraphDestroy(graph));
}
/**
* Adds work to a CUDA stream which negates the square of values in the input
* array.
*
* If d_negSquare_out is non null, then:
* 1) d_negSquare will not be freed;
* 2) the value of d_negSquare_out will be set to d_negSquare.
*
* Diagram of the stream operations in doNegateSquaresInStream
* ---------------------------------------------------------------------
* | STREAM | STREAM2 |
* ---------------------------------------------------------------------
*
* alloc d_input
* |
* alloc d_square
* |
* Memcpy a to device
* |
* launch kernel squareArray
* |
* record squareKernelCompleteEvent -->-- wait squareKernelCompleteEvent
* | |
* free d_input |
* | |
* allocate d_negSquare Memcpy d_square to host
* | |
* launch kernel negateArray |
* | |
* record negateKernelCompleteEvent -->-- wait negateKernelCompleteEvent
* | |
* Memcpy d_negSquare to host |
* | free d_square
* free d_negSquare |
* | |
* wait squareFreeEvent --------------<---- record squareFreeEvent
*/
void doNegateSquaresInStream(cudaStream_t stream1, negSquareArrays *hostArrays,
float **d_negSquare_out = NULL) {
float *d_input, *d_square, *d_negSquare;
cudaStream_t stream2;
cudaEvent_t squareKernelCompleteEvent, negateKernelCompleteEvent,
squareFreeEvent;
checkCudaErrors(cudaStreamCreateWithFlags(&stream2, cudaStreamNonBlocking));
checkCudaErrors(cudaEventCreate(&squareKernelCompleteEvent));
checkCudaErrors(cudaEventCreate(&negateKernelCompleteEvent));
checkCudaErrors(cudaEventCreate(&squareFreeEvent));
// Virtual addresses are assigned synchronously when cudaMallocAsync is
// called, thus there is no performace benefit gained by separating the
// allocations into two streams.
checkCudaErrors(cudaMallocAsync(&d_input, hostArrays->bytes, stream1));
checkCudaErrors(cudaMallocAsync(&d_square, hostArrays->bytes, stream1));
checkCudaErrors(cudaMemcpyAsync(d_input, hostArrays->input, hostArrays->bytes,
cudaMemcpyHostToDevice, stream1));
squareArray<<<hostArrays->numBlocks, THREADS_PER_BLOCK, 0, stream1>>>(
d_input, d_square, hostArrays->numElements);
checkCudaErrors(cudaEventRecord(squareKernelCompleteEvent, stream1));
checkCudaErrors(cudaStreamWaitEvent(stream2, squareKernelCompleteEvent, 0));
checkCudaErrors(cudaMemcpyAsync(hostArrays->square, d_square,
hostArrays->bytes, cudaMemcpyDeviceToHost,
stream2));
checkCudaErrors(cudaFreeAsync(d_input, stream1));
checkCudaErrors(cudaMallocAsync(&d_negSquare, hostArrays->bytes, stream1));
negateArray<<<hostArrays->numBlocks, THREADS_PER_BLOCK, 0, stream1>>>(
d_square, d_negSquare, hostArrays->numElements);
checkCudaErrors(cudaEventRecord(negateKernelCompleteEvent, stream1));
checkCudaErrors(cudaMemcpyAsync(hostArrays->negSquare, d_negSquare,
hostArrays->bytes, cudaMemcpyDeviceToHost,
stream1));
if (d_negSquare_out == NULL) {
checkCudaErrors(cudaFreeAsync(d_negSquare, stream1));
} else {
*d_negSquare_out = d_negSquare;
}
checkCudaErrors(cudaStreamWaitEvent(stream2, negateKernelCompleteEvent, 0));
checkCudaErrors(cudaFreeAsync(d_square, stream2));
checkCudaErrors(cudaEventRecord(squareFreeEvent, stream2));
checkCudaErrors(cudaStreamWaitEvent(stream1, squareFreeEvent, 0));
checkCudaErrors(cudaStreamDestroy(stream2));
checkCudaErrors(cudaEventDestroy(squareKernelCompleteEvent));
checkCudaErrors(cudaEventDestroy(negateKernelCompleteEvent));
checkCudaErrors(cudaEventDestroy(squareFreeEvent));
}
/**
* Demonstrates creating a CUDA graph including memory nodes using stream
* capture. createNegateSquaresGraphExplicitly constructs an equivalent graph
* without stream capture.
*/
void createNegateSquaresGraphWithStreamCapture(cudaGraphExec_t *graphExec,
negSquareArrays *hostArrays,
float **d_negSquare_out = NULL) {
cudaGraph_t graph;
cudaStream_t stream;
checkCudaErrors(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
checkCudaErrors(cudaStreamBeginCapture(stream, cudaStreamCaptureModeGlobal));
doNegateSquaresInStream(stream, hostArrays, d_negSquare_out);
checkCudaErrors(cudaStreamEndCapture(stream, &graph));
checkCudaErrors(cudaGraphInstantiate(graphExec, graph, NULL, NULL, 0));
checkCudaErrors(cudaStreamDestroy(stream));
checkCudaErrors(cudaGraphDestroy(graph));
}
void prepareRefArrays(negSquareArrays *hostArrays,
negSquareArrays *deviceRefArrays,
bool **foundValidationFailure) {
deviceRefArrays->bytes = hostArrays->bytes;
deviceRefArrays->numElements = hostArrays->numElements;
for (int i = 0; i < hostArrays->numElements; i++) {
hostArrays->square[i] = hostArrays->input[i] * hostArrays->input[i];
hostArrays->negSquare[i] = hostArrays->square[i] * -1;
}
checkCudaErrors(
cudaMalloc((void **)&deviceRefArrays->negSquare, deviceRefArrays->bytes));
checkCudaErrors(cudaMemcpy(deviceRefArrays->negSquare, hostArrays->negSquare,
hostArrays->bytes, cudaMemcpyHostToDevice));
checkCudaErrors(
cudaMallocManaged((void **)foundValidationFailure, sizeof(bool)));
}
int checkValidationFailure(bool *foundValidationFailure) {
if (*foundValidationFailure) {
printf("Validation FAILURE!\n\n");
*foundValidationFailure = false;
return EXIT_FAILURE;
} else {
printf("Validation PASSED!\n\n");
return EXIT_SUCCESS;
}
}
__global__ void validateGPU(float *d_negSquare, negSquareArrays devRefArrays,
bool *foundValidationFailure) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
float ref, diff;
if (idx < devRefArrays.numElements) {
ref = devRefArrays.negSquare[idx];
diff = d_negSquare[idx] - ref;
diff *= diff;
ref *= ref;
if (diff / ref > ALLOWABLE_VARIANCE) {
*foundValidationFailure = true;
}
}
}
void validateHost(negSquareArrays *hostArrays, bool *foundValidationFailure) {
float ref, diff;
for (int i = 0; i < hostArrays->numElements; i++) {
ref = hostArrays->input[i] * hostArrays->input[i] * -1;
diff = hostArrays->negSquare[i] - ref;
diff *= diff;
ref *= ref;
if (diff / ref > ALLOWABLE_VARIANCE) {
*foundValidationFailure = true;
}
}
}
int main(int argc, char **argv) {
negSquareArrays hostArrays, deviceRefArrays;
cudaStream_t stream;
cudaGraphExec_t graphExec, graphExecFreeC;
// Declare pointers for GPU buffers
float *d_negSquare = NULL;
bool *foundValidationFailure = NULL;
srand(time(0));
int device = findCudaDevice(argc, (const char **)argv);
int driverVersion = 0;
int deviceSupportsMemoryPools = 0;
cudaDriverGetVersion(&driverVersion);
printf("Driver version is: %d.%d\n", driverVersion / 1000,
(driverVersion % 100) / 10);
if (driverVersion < 11040) {
printf("Waiving execution as driver does not support Graph Memory Nodes\n");
exit(EXIT_WAIVED);
}
cudaDeviceGetAttribute(&deviceSupportsMemoryPools,
cudaDevAttrMemoryPoolsSupported, device);
if (!deviceSupportsMemoryPools) {
printf("Waiving execution as device does not support Memory Pools\n");
exit(EXIT_WAIVED);
} else {
printf("Setting up sample.\n");
}
prepareHostArrays(&hostArrays);
prepareRefArrays(&hostArrays, &deviceRefArrays, &foundValidationFailure);
checkCudaErrors(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
printf("Setup complete.\n\n");
printf("Running negateSquares in a stream.\n");
doNegateSquaresInStream(stream, &hostArrays);
checkCudaErrors(cudaStreamSynchronize(stream));
printf("Validating negateSquares in a stream...\n");
validateHost(&hostArrays, foundValidationFailure);
checkValidationFailure(foundValidationFailure);
resetOutputArrays(&hostArrays);
printf("Running negateSquares in a stream-captured graph.\n");
createNegateSquaresGraphWithStreamCapture(&graphExec, &hostArrays);
checkCudaErrors(cudaGraphLaunch(graphExec, stream));
checkCudaErrors(cudaStreamSynchronize(stream));
printf("Validating negateSquares in a stream-captured graph...\n");
validateHost(&hostArrays, foundValidationFailure);
checkValidationFailure(foundValidationFailure);
resetOutputArrays(&hostArrays);
printf("Running negateSquares in an explicitly constructed graph.\n");
createNegateSquaresGraphExplicitly(&graphExec, device, &hostArrays);
checkCudaErrors(cudaGraphLaunch(graphExec, stream));
checkCudaErrors(cudaStreamSynchronize(stream));
printf("Validating negateSquares in an explicitly constructed graph...\n");
validateHost(&hostArrays, foundValidationFailure);
checkValidationFailure(foundValidationFailure);
resetOutputArrays(&hostArrays);
// Each of the three examples below free d_negSquare outside the graph. As
// demonstrated by validateGPU, d_negSquare can be accessed by outside the
// graph before d_negSquare is freed.
printf("Running negateSquares with d_negSquare freed outside the stream.\n");
createNegateSquaresGraphExplicitly(&graphExec, device, &hostArrays,
&d_negSquare);
checkCudaErrors(cudaGraphLaunch(graphExec, stream));
validateGPU<<<hostArrays.numBlocks, THREADS_PER_BLOCK, 0, stream>>>(
d_negSquare, deviceRefArrays, foundValidationFailure);
// Since cudaFree is synchronous, the stream must synchronize before freeing
// d_negSquare to ensure d_negSquare no longer being accessed.
checkCudaErrors(cudaStreamSynchronize(stream));
checkCudaErrors(cudaFree(d_negSquare));
printf(
"Validating negateSquares with d_negSquare freed outside the "
"stream...\n");
validateHost(&hostArrays, foundValidationFailure);
checkValidationFailure(foundValidationFailure);
resetOutputArrays(&hostArrays);
printf("Running negateSquares with d_negSquare freed outside the graph.\n");
checkCudaErrors(cudaGraphLaunch(graphExec, stream));
validateGPU<<<hostArrays.numBlocks, THREADS_PER_BLOCK, 0, stream>>>(
d_negSquare, deviceRefArrays, foundValidationFailure);
checkCudaErrors(cudaFreeAsync(d_negSquare, stream));
checkCudaErrors(cudaStreamSynchronize(stream));
printf(
"Validating negateSquares with d_negSquare freed outside the graph...\n");
checkValidationFailure(foundValidationFailure);
resetOutputArrays(&hostArrays);
printf(
"Running negateSquares with d_negSquare freed in a different graph.\n");
createFreeGraph(&graphExecFreeC, d_negSquare);
checkCudaErrors(cudaGraphLaunch(graphExec, stream));
validateGPU<<<hostArrays.numBlocks, THREADS_PER_BLOCK, 0, stream>>>(
d_negSquare, deviceRefArrays, foundValidationFailure);
checkCudaErrors(cudaGraphLaunch(graphExecFreeC, stream));
checkCudaErrors(cudaStreamSynchronize(stream));
printf(
"Validating negateSquares with d_negSquare freed in a different "
"graph...\n");
checkValidationFailure(foundValidationFailure);
printf("Cleaning up sample.\n");
checkCudaErrors(cudaGraphExecDestroy(graphExec));
checkCudaErrors(cudaGraphExecDestroy(graphExecFreeC));
checkCudaErrors(cudaStreamDestroy(stream));
checkCudaErrors(cudaFree(foundValidationFailure));
checkCudaErrors(cudaFree(deviceRefArrays.negSquare));
free(hostArrays.input);
free(hostArrays.square);
free(hostArrays.negSquare);
printf("Cleanup complete. Exiting sample.\n");
}

View File

@@ -0,0 +1,20 @@

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2017
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "graphMemoryNodes", "graphMemoryNodes_vs2017.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

View File

@@ -0,0 +1,113 @@
<?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>graphMemoryNodes_vs2017</RootNamespace>
<ProjectName>graphMemoryNodes</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<PropertyGroup Condition="'$(WindowsTargetPlatformVersion)'==''">
<LatestTargetPlatformVersion>$([Microsoft.Build.Utilities.ToolLocationHelper]::GetLatestSDKTargetPlatformVersion('Windows', '10.0'))</LatestTargetPlatformVersion>
<WindowsTargetPlatformVersion Condition="'$(WindowsTargetPlatformVersion)' == ''">$(LatestTargetPlatformVersion)</WindowsTargetPlatformVersion>
<TargetPlatformVersion>$(WindowsTargetPlatformVersion)</TargetPlatformVersion>
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v141</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 11.5.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>cudart_static.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)/graphMemoryNodes.exe</OutputFile>
</Link>
<CudaCompile>
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
<Include>./;../../Common</Include>
<Defines>WIN32</Defines>
<AdditionalOptions>--threads 0</AdditionalOptions>
</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>
<CudaCompile Include="graphMemoryNodes.cu" />
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 11.5.targets" />
</ImportGroup>
</Project>

View File

@@ -0,0 +1,20 @@

Microsoft Visual Studio Solution File, Format Version 12.00
# Visual Studio 2019
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "graphMemoryNodes", "graphMemoryNodes_vs2019.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

View File

@@ -0,0 +1,109 @@
<?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>graphMemoryNodes_vs2019</RootNamespace>
<ProjectName>graphMemoryNodes</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
<PropertyGroup>
<ConfigurationType>Application</ConfigurationType>
<CharacterSet>MultiByte</CharacterSet>
<PlatformToolset>v142</PlatformToolset>
<WindowsTargetPlatformVersion>10.0</WindowsTargetPlatformVersion>
</PropertyGroup>
<PropertyGroup Condition="'$(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="$(CUDAPropsPath)\CUDA 11.5.props" />
</ImportGroup>
<ImportGroup Label="PropertySheets">
<Import Condition="exists('$(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>./;$(CudaToolkitDir)/include;../../Common;</AdditionalIncludeDirectories>
</ClCompile>
<Link>
<SubSystem>Console</SubSystem>
<AdditionalDependencies>cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
<OutputFile>$(OutDir)/graphMemoryNodes.exe</OutputFile>
</Link>
<CudaCompile>
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
<AdditionalOptions>-Xcompiler "/wd 4819" %(AdditionalOptions)</AdditionalOptions>
<Include>./;../../Common</Include>
<Defines>WIN32</Defines>
<AdditionalOptions>--threads 0</AdditionalOptions>
</CudaCompile>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(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="'$(Configuration)'=='Release'">
<ClCompile>
<Optimization>MaxSpeed</Optimization>
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
</ClCompile>
<Link>
<GenerateDebugInformation>false</GenerateDebugInformation>
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
</Link>
<CudaCompile>
<Runtime>MT</Runtime>
<TargetMachinePlatform>64</TargetMachinePlatform>
</CudaCompile>
</ItemDefinitionGroup>
<ItemGroup>
<CudaCompile Include="graphMemoryNodes.cu" />
</ItemGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
<ImportGroup Label="ExtensionTargets">
<Import Project="$(CUDAPropsPath)\CUDA 11.5.targets" />
</ImportGroup>
</Project>