add and update samples for CUDA 11.6

This commit is contained in:
Rutwik Choughule
2022-01-13 11:35:24 +05:30
parent 11de19f00c
commit 2e41896e1b
4615 changed files with 178150 additions and 181350 deletions

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{
"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
}

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{
"recommendations": [
"nvidia.nsight-vscode-edition",
"ms-vscode.cpptools",
"ms-vscode.makefile-tools"
]
}

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{
"configurations": [
{
"name": "CUDA C++: Launch",
"type": "cuda-gdb",
"request": "launch",
"program": "${workspaceFolder}/memMapIPCDrv"
}
]
}

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

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################################################################################
# Copyright (c) 2022, 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 += -D_QNX_SOURCE
NVCCFLAGS += --qpp-config 8.3.0,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))
UBUNTU = $(shell lsb_release -i -s 2>/dev/null | grep -i ubuntu)
SAMPLE_ENABLED := 1
# This sample is not supported on Mac OSX
ifeq ($(TARGET_OS),darwin)
$(info >>> WARNING - memMapIPCDrv is not supported on Mac OSX - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
# This sample is not supported on ARMv7
ifeq ($(TARGET_ARCH),armv7l)
$(info >>> WARNING - memMapIPCDrv is not supported on ARMv7 - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
# This sample is not supported on aarch64
ifeq ($(TARGET_ARCH),aarch64)
$(info >>> WARNING - memMapIPCDrv is not supported on aarch64 - waiving sample <<<)
SAMPLE_ENABLED := 0
endif
# This sample is not supported on sbsa
ifeq ($(TARGET_ARCH),sbsa)
$(info >>> WARNING - memMapIPCDrv is not supported on sbsa - 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 :=
################################################################################
PTX_FILE := memMapIpc_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),)
ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64 sbsa))
# Generate PTX code from SM 53
GENCODE_FLAGS += -gencode arch=compute_53,code=compute_53
else
# Generate PTX code from SM 35
GENCODE_FLAGS += -gencode arch=compute_35,code=compute_35
endif
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)/lib/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),sbsa-linux)
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/sbsa-linux/lib/stubs
endif
ifeq ($(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
ifdef TARGET_OVERRIDE
CUDA_SEARCH_PATH := $(CUDA_PATH)/targets/$(TARGET_OVERRIDE)/lib/stubs
endif
endif
ifeq ($(TARGET_ARCH),ppc64le)
CUDA_SEARCH_PATH ?= $(CUDA_PATH)/targets/ppc64le-linux/lib/stubs
endif
ifeq ($(HOST_ARCH),ppc64le)
CUDA_SEARCH_PATH += $(CUDA_PATH)/lib64/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
else
CUDALIB := $(shell echo $(CUDALIB) | sed "s/ .*//" | sed "s/\/libcuda.so//" )
LIBRARIES += -L$(CUDALIB) -lcuda
endif
endif
ALL_CCFLAGS += --threads 0 --std=c++11
ifeq ($(SAMPLE_ENABLED),0)
EXEC ?= @echo "[@]"
endif
################################################################################
# Target rules
all: build
build: memMapIPCDrv $(PTX_FILE)
check.deps:
ifeq ($(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): memMapIpc_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)
helper_multiprocess.o:../../../Common/helper_multiprocess.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
memMapIpc.o:memMapIpc.cpp
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
memMapIPCDrv: helper_multiprocess.o memMapIpc.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
$(EXEC) ./memMapIPCDrv
testrun: build
clean:
rm -f memMapIPCDrv helper_multiprocess.o memMapIpc.o data/$(PTX_FILE) $(PTX_FILE)
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/memMapIPCDrv
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/$(PTX_FILE)
clobber: clean

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# memMapIPCDrv - Memmap IPC Driver API
## Description
This CUDA Driver API sample is a very basic sample that demonstrates Inter Process Communication using cuMemMap APIs with one process per GPU for computation. Requires Compute Capability 3.0 or higher and a Linux Operating System, or a Windows Operating System
## Key Concepts
CUDA Driver API, cuMemMap IPC, MMAP
## Supported SM Architectures
[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 5.3 ](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) [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) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus)
## Supported OSes
Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le
## CUDA APIs involved
### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
cuCtxSetCurrent, cuMemSetAccess, cuMemcpyDtoHAsync, cuStreamDestroy, cuInit, cuMemAddressReserve, cuCtxDestroy, cuModuleGetFunction, cuModuleLoad, cuStreamCreate, cuCtxCreate, cuMemExportToShareableHandle, cuMemAddressFree, cuMemGetAllocationGranularity, cuModuleLoadDataEx, cuDeviceGet, cuMemUnmap, cuDeviceGetAttribute, cuMemRelease, cuCtxEnablePeerAccess, cuMemMap, cuMemImportFromShareableHandle, cuMemCreate, cuStreamSynchronize, cuDeviceCanAccessPeer, cuDeviceGetCount, cuLaunchKernel, cuOccupancyMaxActiveBlocksPerMultiprocessor
## Dependencies needed to build/run
[IPC](../../README.md#ipc)
## Prerequisites
Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## 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.
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/>
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)

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

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<?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>memMapIPCDrv_vs2017</RootNamespace>
<ProjectName>memMapIPCDrv</ProjectName>
<CudaToolkitCustomDir />
</PropertyGroup>
<PropertyGroup Condition="'$(WindowsTargetPlatformVersion)'==''">
<LatestTargetPlatformVersion>$([Microsoft.Build.Utilities.ToolLocationHelper]::GetLatestSDKTargetPlatformVersion('Windows', '10.0'))</LatestTargetPlatformVersion>
<WindowsTargetPlatformVersion Condition="'$(WindowsTargetPlatformVersion)' == ''">$(LatestTargetPlatformVersion)</WindowsTargetPlatformVersion>
<TargetPlatformVersion>$(WindowsTargetPlatformVersion)</TargetPlatformVersion>
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Microsoft Visual Studio Solution File, Format Version 12.00
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Microsoft Visual Studio Solution File, Format Version 12.00
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@@ -0,0 +1,646 @@
/* Copyright (c) 2022, 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.
*/
/*
* This sample demonstrates Inter Process Communication
* using cuMemMap APIs and with one process per GPU for computation.
*/
#include <stdio.h>
#include <string.h>
#include <cstring>
#include <iostream>
#include "cuda.h"
#include "helper_multiprocess.h"
// includes, project
#include <helper_functions.h>
#include "helper_cuda_drvapi.h"
// includes, CUDA
#include <builtin_types.h>
using namespace std;
// For direct NVLINK and PCI-E peers, at max 8 simultaneous peers are allowed
// For NVSWITCH connected peers like DGX-2, simultaneous peers are not limited
// in the same way.
#define MAX_DEVICES (32)
#define PROCESSES_PER_DEVICE 1
#define DATA_BUF_SIZE 4ULL * 1024ULL * 1024ULL
static const char ipcName[] = "memmap_ipc_pipe";
static const char shmName[] = "memmap_ipc_shm";
typedef struct shmStruct_st {
size_t nprocesses;
int barrier;
int sense;
} shmStruct;
bool findModulePath(const char *, string &, char **, string &);
// define input ptx file for different platforms
#if defined(_WIN64) || defined(__LP64__)
#define PTX_FILE "memMapIpc_kernel64.ptx"
#else
#define PTX_FILE "memMapIpc_kernel32.ptx"
#endif
// `ipcHandleTypeFlag` specifies the platform specific handle type this sample
// uses for importing and exporting memory allocation. On Linux this sample
// specifies the type as CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR meaning that
// file descriptors will be used. On Windows this sample specifies the type as
// CU_MEM_HANDLE_TYPE_WIN32 meaning that NT HANDLEs will be used. The
// ipcHandleTypeFlag variable is a convenience variable and is passed by value
// to individual requests.
#if defined(__linux__)
CUmemAllocationHandleType ipcHandleTypeFlag =
CU_MEM_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR;
#else
CUmemAllocationHandleType ipcHandleTypeFlag = CU_MEM_HANDLE_TYPE_WIN32;
#endif
#if defined(__linux__)
#define cpu_atomic_add32(a, x) __sync_add_and_fetch(a, x)
#elif defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
#define cpu_atomic_add32(a, x) InterlockedAdd((volatile LONG *)a, x)
#else
#error Unsupported system
#endif
CUmodule cuModule;
CUfunction _memMapIpc_kernel;
static void barrierWait(volatile int *barrier, volatile int *sense,
unsigned int n) {
int count;
// Check-in
count = cpu_atomic_add32(barrier, 1);
if (count == n) { // Last one in
*sense = 1;
}
while (!*sense)
;
// Check-out
count = cpu_atomic_add32(barrier, -1);
if (count == 0) { // Last one out
*sense = 0;
}
while (*sense)
;
}
// Windows-specific LPSECURITYATTRIBUTES
void getDefaultSecurityDescriptor(CUmemAllocationProp *prop) {
#if defined(__linux__)
return;
#elif defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
static const char sddl[] = "D:P(OA;;GARCSDWDWOCCDCLCSWLODTWPRPCRFA;;;WD)";
static OBJECT_ATTRIBUTES objAttributes;
static bool objAttributesConfigured = false;
if (!objAttributesConfigured) {
PSECURITY_DESCRIPTOR secDesc;
BOOL result = ConvertStringSecurityDescriptorToSecurityDescriptorA(
sddl, SDDL_REVISION_1, &secDesc, NULL);
if (result == 0) {
printf("IPC failure: getDefaultSecurityDescriptor Failed! (%d)\n",
GetLastError());
}
InitializeObjectAttributes(&objAttributes, NULL, 0, NULL, secDesc);
objAttributesConfigured = true;
}
prop->win32HandleMetaData = &objAttributes;
return;
#endif
}
static void memMapAllocateAndExportMemory(
unsigned char backingDevice, size_t allocSize,
std::vector<CUmemGenericAllocationHandle> &allocationHandles,
std::vector<ShareableHandle> &shareableHandles) {
// This property structure describes the physical location where the memory
// will be allocated via cuMemCreate along with additional properties.
CUmemAllocationProp prop = {};
// The allocations will be device pinned memory backed on backingDevice and
// exportable with the specified handle type.
prop.type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
// Back all allocations on backingDevice.
prop.location.id = (int)backingDevice;
// Passing a requestedHandleTypes indicates intention to export this
// allocation to a platform-specific handle. This sample requests a file
// descriptor on Linux and NT Handle on Windows.
prop.requestedHandleTypes = ipcHandleTypeFlag;
// Get the minimum granularity supported for allocation with cuMemCreate()
size_t granularity = 0;
checkCudaErrors(cuMemGetAllocationGranularity(
&granularity, &prop, CU_MEM_ALLOC_GRANULARITY_MINIMUM));
if (allocSize % granularity) {
printf(
"Allocation size is not a multiple of minimum supported granularity "
"for this device. Exiting...\n");
exit(EXIT_FAILURE);
}
// Windows-specific LPSECURITYATTRIBUTES is required when
// CU_MEM_HANDLE_TYPE_WIN32 is used. The security attribute defines the scope
// of which exported allocations may be tranferred to other processes. For all
// other handle types, pass NULL.
getDefaultSecurityDescriptor(&prop);
for (int i = 0; i < allocationHandles.size(); i++) {
// Create the allocation as a pinned allocation on device specified in
// prop.location.id
checkCudaErrors(cuMemCreate(&allocationHandles[i], allocSize, &prop, 0));
// Export the allocation to a platform-specific handle. The type of handle
// requested here must match the requestedHandleTypes field in the prop
// structure passed to cuMemCreate.
checkCudaErrors(cuMemExportToShareableHandle((void *)&shareableHandles[i],
allocationHandles[i],
ipcHandleTypeFlag, 0));
}
}
static void memMapImportAndMapMemory(
CUdeviceptr d_ptr, size_t mapSize,
std::vector<ShareableHandle> &shareableHandles, int mapDevice) {
std::vector<CUmemGenericAllocationHandle> allocationHandles;
allocationHandles.resize(shareableHandles.size());
// The accessDescriptor will describe the mapping requirement for the
// mapDevice passed as argument
CUmemAccessDesc accessDescriptor;
// Specify location for mapping the imported allocations.
accessDescriptor.location.type = CU_MEM_LOCATION_TYPE_DEVICE;
accessDescriptor.location.id = mapDevice;
// Specify both read and write accesses.
accessDescriptor.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
for (int i = 0; i < shareableHandles.size(); i++) {
// Import the memory allocation back into a CUDA handle from the platform
// specific handle.
checkCudaErrors(cuMemImportFromShareableHandle(
&allocationHandles[i], (void *)(uintptr_t)shareableHandles[i],
ipcHandleTypeFlag));
// Assign the chunk to the appropriate VA range and release the handle.
// After mapping the memory, it can be referenced by virtual address.
checkCudaErrors(
cuMemMap(d_ptr + (i * mapSize), mapSize, 0, allocationHandles[i], 0));
// Since we do not need to make any other mappings of this memory or export
// it, we no longer need and can release the allocationHandle. The
// allocation will be kept live until it is unmapped.
checkCudaErrors(cuMemRelease(allocationHandles[i]));
}
// Retain peer access and map all chunks to mapDevice
checkCudaErrors(cuMemSetAccess(d_ptr, shareableHandles.size() * mapSize,
&accessDescriptor, 1));
}
static void memMapUnmapAndFreeMemory(CUdeviceptr dptr, size_t size) {
CUresult status = CUDA_SUCCESS;
// Unmap the mapped virtual memory region
// Since the handles to the mapped backing stores have already been released
// by cuMemRelease, and these are the only/last mappings referencing them,
// The backing stores will be freed.
// Since the memory has been unmapped after this call, accessing the specified
// va range will result in a fault (unitll it is remapped).
checkCudaErrors(cuMemUnmap(dptr, size));
// Free the virtual address region. This allows the virtual address region
// to be reused by future cuMemAddressReserve calls. This also allows the
// virtual address region to be used by other allocation made through
// opperating system calls like malloc & mmap.
checkCudaErrors(cuMemAddressFree(dptr, size));
}
static void memMapGetDeviceFunction(char **argv) {
// first search for the module path before we load the results
string module_path, ptx_source;
if (!findModulePath(PTX_FILE, module_path, argv, ptx_source)) {
if (!findModulePath("memMapIpc_kernel.cubin", module_path, argv,
ptx_source)) {
printf(
"> findModulePath could not find <simpleMemMapIpc> ptx or cubin\n");
exit(EXIT_FAILURE);
}
} else {
printf("> initCUDA loading module: <%s>\n", module_path.c_str());
}
// Create module from binary file (PTX or CUBIN)
if (module_path.rfind("ptx") != 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] = (void *)(size_t)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] = (void *)(size_t)jitRegCount;
checkCudaErrors(cuModuleLoadDataEx(&cuModule, ptx_source.c_str(),
jitNumOptions, jitOptions,
(void **)jitOptVals));
printf("> PTX JIT log:\n%s\n", jitLogBuffer);
} else {
checkCudaErrors(cuModuleLoad(&cuModule, module_path.c_str()));
}
// Get function handle from module
checkCudaErrors(
cuModuleGetFunction(&_memMapIpc_kernel, cuModule, "memMapIpc_kernel"));
}
static void childProcess(int devId, int id, char **argv) {
volatile shmStruct *shm = NULL;
sharedMemoryInfo info;
ipcHandle *ipcChildHandle = NULL;
int blocks = 0;
int threads = 128;
checkIpcErrors(ipcOpenSocket(ipcChildHandle));
if (sharedMemoryOpen(shmName, sizeof(shmStruct), &info) != 0) {
printf("Failed to create shared memory slab\n");
exit(EXIT_FAILURE);
}
shm = (volatile shmStruct *)info.addr;
int procCount = (int)shm->nprocesses;
barrierWait(&shm->barrier, &shm->sense, (unsigned int)(procCount + 1));
// Receive all allocation handles shared by Parent.
std::vector<ShareableHandle> shHandle(procCount);
checkIpcErrors(ipcRecvShareableHandles(ipcChildHandle, shHandle));
CUcontext ctx;
CUdevice device;
CUstream stream;
int multiProcessorCount;
checkCudaErrors(cuDeviceGet(&device, devId));
checkCudaErrors(cuCtxCreate(&ctx, 0, device));
checkCudaErrors(cuStreamCreate(&stream, CU_STREAM_NON_BLOCKING));
// Obtain kernel function for the sample
memMapGetDeviceFunction(argv);
checkCudaErrors(cuOccupancyMaxActiveBlocksPerMultiprocessor(
&blocks, _memMapIpc_kernel, threads, 0));
checkCudaErrors(cuDeviceGetAttribute(
&multiProcessorCount, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, device));
blocks *= multiProcessorCount;
CUdeviceptr d_ptr = 0ULL;
// Reserve the required contiguous VA space for the allocations
checkCudaErrors(cuMemAddressReserve(&d_ptr, procCount * DATA_BUF_SIZE,
DATA_BUF_SIZE, 0, 0));
// Import the memory allocations shared by the parent with us and map them in
// our address space.
memMapImportAndMapMemory(d_ptr, DATA_BUF_SIZE, shHandle, devId);
// Since we have imported allocations shared by the parent with us, we can
// close all the ShareableHandles.
for (int i = 0; i < procCount; i++) {
checkIpcErrors(ipcCloseShareableHandle(shHandle[i]));
}
checkIpcErrors(ipcCloseSocket(ipcChildHandle));
for (int i = 0; i < procCount; i++) {
size_t bufferId = (i + id) % procCount;
// Build arguments to be passed to cuda kernel.
CUdeviceptr ptr = d_ptr + (bufferId * DATA_BUF_SIZE);
int size = DATA_BUF_SIZE;
char val = (char)id;
void *args[] = {&ptr, &size, &val};
// Push a simple kernel on th buffer.
checkCudaErrors(cuLaunchKernel(_memMapIpc_kernel, blocks, 1, 1, threads, 1,
1, 0, stream, args, 0));
checkCudaErrors(cuStreamSynchronize(stream));
// Wait for all my sibling processes to push this stage of their work
// before proceeding to the next. This makes the data in the buffer
// deterministic.
barrierWait(&shm->barrier, &shm->sense, (unsigned int)procCount);
if (id == 0) {
printf("Step %lld done\n", (unsigned long long)i);
}
}
printf("Process %d: verifying...\n", id);
// Copy the data onto host and verify value if it matches expected value or
// not.
std::vector<char> verification_buffer(DATA_BUF_SIZE);
checkCudaErrors(cuMemcpyDtoHAsync(&verification_buffer[0],
d_ptr + (id * DATA_BUF_SIZE), DATA_BUF_SIZE,
stream));
checkCudaErrors(cuStreamSynchronize(stream));
// The contents should have the id of the sibling just after me
char compareId = (char)((id + 1) % procCount);
for (unsigned long long j = 0; j < DATA_BUF_SIZE; j++) {
if (verification_buffer[j] != compareId) {
printf("Process %d: Verification mismatch at %lld: %d != %d\n", id, j,
(int)verification_buffer[j], (int)compareId);
break;
}
}
// Clean up!
checkCudaErrors(cuStreamDestroy(stream));
checkCudaErrors(cuCtxDestroy(ctx));
// Unmap the allocations from our address space. Unmapping will also free the
// handle as we have already released the imported handle with the call to
// cuMemRelease. Finally, free up the Virtual Address space we reserved with
// cuMemAddressReserve.
memMapUnmapAndFreeMemory(d_ptr, procCount * DATA_BUF_SIZE);
exit(EXIT_SUCCESS);
}
static void parentProcess(char *app) {
int devCount, i, nprocesses = 0;
volatile shmStruct *shm = NULL;
sharedMemoryInfo info;
std::vector<Process> processes;
checkCudaErrors(cuDeviceGetCount(&devCount));
std::vector<CUdevice> devices(devCount);
if (sharedMemoryCreate(shmName, sizeof(*shm), &info) != 0) {
printf("Failed to create shared memory slab\n");
exit(EXIT_FAILURE);
}
shm = (volatile shmStruct *)info.addr;
memset((void *)shm, 0, sizeof(*shm));
for (i = 0; i < devCount; i++) {
checkCudaErrors(cuDeviceGet(&devices[i], i));
}
std::vector<CUcontext> ctxs;
std::vector<unsigned char> selectedDevices;
// Pick all the devices that can access each other's memory for this test
// Keep in mind that CUDA has minimal support for fork() without a
// corresponding exec() in the child process, but in this case our
// spawnProcess will always exec, so no need to worry.
for (i = 0; i < devCount; i++) {
bool allPeers = true;
int deviceComputeMode;
int deviceSupportsIpcHandle;
int attributeVal = 0;
checkCudaErrors(cuDeviceGet(&devices[i], i));
checkCudaErrors(cuDeviceGetAttribute(
&deviceComputeMode, CU_DEVICE_ATTRIBUTE_COMPUTE_MODE, devices[i]));
checkCudaErrors(cuDeviceGetAttribute(
&attributeVal, CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED,
devices[i]));
#if defined(__linux__)
checkCudaErrors(cuDeviceGetAttribute(
&deviceSupportsIpcHandle,
CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_POSIX_FILE_DESCRIPTOR_SUPPORTED,
devices[i]));
#else
checkCudaErrors(cuDeviceGetAttribute(
&deviceSupportsIpcHandle,
CU_DEVICE_ATTRIBUTE_HANDLE_TYPE_WIN32_HANDLE_SUPPORTED, devices[i]));
#endif
// Check that the selected device supports virtual address management
if (attributeVal == 0) {
printf("Device %d doesn't support VIRTUAL ADDRESS MANAGEMENT.\n",
devices[i]);
continue;
}
// This sample requires two processes accessing each device, so we need
// to ensure exclusive or prohibited mode is not set
if (deviceComputeMode != CU_COMPUTEMODE_DEFAULT) {
printf("Device %d is in an unsupported compute mode for this sample\n",
i);
continue;
}
if (!deviceSupportsIpcHandle) {
printf(
"Device %d does not support requested handle type for IPC, "
"skipping...\n",
i);
continue;
}
for (int j = 0; j < nprocesses; j++) {
int canAccessPeerIJ, canAccessPeerJI;
checkCudaErrors(
cuDeviceCanAccessPeer(&canAccessPeerJI, devices[j], devices[i]));
checkCudaErrors(
cuDeviceCanAccessPeer(&canAccessPeerIJ, devices[i], devices[j]));
if (!canAccessPeerIJ || !canAccessPeerJI) {
allPeers = false;
break;
}
}
if (allPeers) {
CUcontext ctx;
checkCudaErrors(cuCtxCreate(&ctx, 0, devices[i]));
ctxs.push_back(ctx);
// Enable peers here. This isn't necessary for IPC, but it will
// setup the peers for the device. For systems that only allow 8
// peers per GPU at a time, this acts to remove devices from CanAccessPeer
for (int j = 0; j < nprocesses; j++) {
checkCudaErrors(cuCtxSetCurrent(ctxs[i]));
checkCudaErrors(cuCtxEnablePeerAccess(ctxs[j], 0));
checkCudaErrors(cuCtxSetCurrent(ctxs[j]));
checkCudaErrors(cuCtxEnablePeerAccess(ctxs[i], 0));
}
selectedDevices.push_back(i);
nprocesses++;
if (nprocesses >= MAX_DEVICES) {
break;
}
} else {
printf(
"Device %d is not peer capable with some other selected peers, "
"skipping\n",
i);
}
}
for (int i = 0; i < ctxs.size(); ++i) {
checkCudaErrors(cuCtxDestroy(ctxs[i]));
};
if (nprocesses == 0) {
printf("No CUDA devices support IPC\n");
exit(EXIT_WAIVED);
}
shm->nprocesses = nprocesses;
unsigned char firstSelectedDevice = selectedDevices[0];
std::vector<ShareableHandle> shHandles(nprocesses);
std::vector<CUmemGenericAllocationHandle> allocationHandles(nprocesses);
// Allocate `nprocesses` number of memory chunks and obtain a shareable handle
// for each allocation. Share all memory allocations with all children.
memMapAllocateAndExportMemory(firstSelectedDevice, DATA_BUF_SIZE,
allocationHandles, shHandles);
// Launch the child processes!
for (i = 0; i < nprocesses; i++) {
char devIdx[10];
char procIdx[10];
char *const args[] = {app, devIdx, procIdx, NULL};
Process process;
SPRINTF(devIdx, "%d", selectedDevices[i]);
SPRINTF(procIdx, "%d", i);
if (spawnProcess(&process, app, args)) {
printf("Failed to create process\n");
exit(EXIT_FAILURE);
}
processes.push_back(process);
}
barrierWait(&shm->barrier, &shm->sense, (unsigned int)(nprocesses + 1));
ipcHandle *ipcParentHandle = NULL;
checkIpcErrors(ipcCreateSocket(ipcParentHandle, ipcName, processes));
checkIpcErrors(
ipcSendShareableHandles(ipcParentHandle, shHandles, processes));
// Close the shareable handles as they are not needed anymore.
for (int i = 0; i < nprocesses; i++) {
checkIpcErrors(ipcCloseShareableHandle(shHandles[i]));
}
// And wait for them to finish
for (i = 0; i < processes.size(); i++) {
if (waitProcess(&processes[i]) != EXIT_SUCCESS) {
printf("Process %d failed!\n", i);
exit(EXIT_FAILURE);
}
}
for (i = 0; i < nprocesses; i++) {
checkCudaErrors(cuMemRelease(allocationHandles[i]));
}
checkIpcErrors(ipcCloseSocket(ipcParentHandle));
sharedMemoryClose(&info);
}
// Host code
int main(int argc, char **argv) {
#if defined(__arm__) || defined(__aarch64__)
printf("Not supported on ARM\n");
return EXIT_WAIVED;
#else
// Initialize
checkCudaErrors(cuInit(0));
if (argc == 1) {
parentProcess(argv[0]);
} else {
childProcess(atoi(argv[1]), atoi(argv[2]), argv);
}
return EXIT_SUCCESS;
#endif
}
bool inline findModulePath(const char *module_file, string &module_path,
char **argv, 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 could not find file: <%s> \n", module_file);
return false;
} else {
printf("> findModulePath found file at <%s>\n", module_path.c_str());
if (module_path.rfind(".ptx") != 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;
}
}

View File

@@ -0,0 +1,37 @@
/* Copyright (c) 2022, 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.
*/
// Device code
extern "C" __global__ void memMapIpc_kernel(char *ptr, int sz, char val)
{
// Dummy kernel
int idx = blockIdx.x * blockDim.x + threadIdx.x;
for (; idx < sz; idx += (gridDim.x * blockDim.x)) {
ptr[idx] = val;
}
}