mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-23 21:28:17 +08:00
add and update samples for CUDA 11.6
This commit is contained in:
Rutwik Choughule
18
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/c_cpp_properties.json
vendored
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18
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/c_cpp_properties.json
vendored
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@@ -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
|
||||
}
|
||||
7
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/extensions.json
vendored
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7
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/extensions.json
vendored
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@@ -0,0 +1,7 @@
|
||||
{
|
||||
"recommendations": [
|
||||
"nvidia.nsight-vscode-edition",
|
||||
"ms-vscode.cpptools",
|
||||
"ms-vscode.makefile-tools"
|
||||
]
|
||||
}
|
||||
10
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/launch.json
vendored
Normal file
10
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/launch.json
vendored
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@@ -0,0 +1,10 @@
|
||||
{
|
||||
"configurations": [
|
||||
{
|
||||
"name": "CUDA C++: Launch",
|
||||
"type": "cuda-gdb",
|
||||
"request": "launch",
|
||||
"program": "${workspaceFolder}/shfl_scan"
|
||||
}
|
||||
]
|
||||
}
|
||||
15
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/tasks.json
vendored
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15
Samples/2_Concepts_and_Techniques/shfl_scan/.vscode/tasks.json
vendored
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@@ -0,0 +1,15 @@
|
||||
{
|
||||
"version": "2.0.0",
|
||||
"tasks": [
|
||||
{
|
||||
"label": "sample",
|
||||
"type": "shell",
|
||||
"command": "make dbg=1",
|
||||
"problemMatcher": ["$nvcc"],
|
||||
"group": {
|
||||
"kind": "build",
|
||||
"isDefault": true
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
371
Samples/2_Concepts_and_Techniques/shfl_scan/Makefile
Normal file
371
Samples/2_Concepts_and_Techniques/shfl_scan/Makefile
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@@ -0,0 +1,371 @@
|
||||
################################################################################
|
||||
# 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))
|
||||
|
||||
SAMPLE_ENABLED := 1
|
||||
|
||||
# This sample is not supported on QNX
|
||||
ifeq ($(TARGET_OS),qnx)
|
||||
$(info >>> WARNING - shfl_scan is not supported on QNX - 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 $(GCCVERSION)` \>= 47000)
|
||||
|
||||
ifeq ($(IS_MIN_VERSION), 1)
|
||||
$(info >>> GCC Version is greater or equal to 4.7.0 <<<)
|
||||
else
|
||||
$(info >>> Waiving build. Minimum GCC version required is 4.7.0<<<)
|
||||
SAMPLE_ENABLED := 0
|
||||
endif
|
||||
endif
|
||||
|
||||
# Gencode arguments
|
||||
ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64 sbsa))
|
||||
SMS ?= 53 61 70 72 75 80 86 87
|
||||
else
|
||||
SMS ?= 35 37 50 52 60 61 70 75 80 86
|
||||
endif
|
||||
|
||||
ifeq ($(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 += --std=c++11 -O3 --threads 0
|
||||
|
||||
ifeq ($(SAMPLE_ENABLED),0)
|
||||
EXEC ?= @echo "[@]"
|
||||
endif
|
||||
|
||||
################################################################################
|
||||
|
||||
# Target rules
|
||||
all: build
|
||||
|
||||
build: shfl_scan
|
||||
|
||||
check.deps:
|
||||
ifeq ($(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
|
||||
|
||||
shfl_scan.o:shfl_scan.cu
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
||||
|
||||
shfl_scan: shfl_scan.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
|
||||
$(EXEC) ./shfl_scan
|
||||
|
||||
testrun: build
|
||||
|
||||
clean:
|
||||
rm -f shfl_scan shfl_scan.o
|
||||
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/shfl_scan
|
||||
|
||||
clobber: clean
|
||||
100
Samples/2_Concepts_and_Techniques/shfl_scan/NsightEclipse.xml
Normal file
100
Samples/2_Concepts_and_Techniques/shfl_scan/NsightEclipse.xml
Normal file
@@ -0,0 +1,100 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
|
||||
<entry>
|
||||
<name>shfl_scan</name>
|
||||
<cflags>
|
||||
<flag>--std=c++11</flag>
|
||||
<flag>-O3</flag>
|
||||
</cflags>
|
||||
<cuda_api_list>
|
||||
<toolkit>cudaMemset</toolkit>
|
||||
<toolkit>cudaFree</toolkit>
|
||||
<toolkit>cudaEventRecord</toolkit>
|
||||
<toolkit>cudaMallocHost</toolkit>
|
||||
<toolkit>cudaEventCreate</toolkit>
|
||||
<toolkit>cudaEventElapsedTime</toolkit>
|
||||
<toolkit>cudaEventSynchronize</toolkit>
|
||||
<toolkit>cudaFreeHost</toolkit>
|
||||
<toolkit>cudaMalloc</toolkit>
|
||||
<toolkit>cudaMemcpy</toolkit>
|
||||
<toolkit>cudaGetDeviceProperties</toolkit>
|
||||
<toolkit>cudaGetDevice</toolkit>
|
||||
</cuda_api_list>
|
||||
<description><![CDATA[This example demonstrates how to use the shuffle intrinsic __shfl_up_sync to perform a scan operation across a thread block. ]]></description>
|
||||
<devicecompilation>whole</devicecompilation>
|
||||
<includepaths>
|
||||
<path>./</path>
|
||||
<path>../</path>
|
||||
<path>../../../Common</path>
|
||||
</includepaths>
|
||||
<keyconcepts>
|
||||
<concept level="advanced">Data-Parallel Algorithms</concept>
|
||||
<concept level="advanced">Performance Strategies</concept>
|
||||
</keyconcepts>
|
||||
<keywords>
|
||||
<keyword>GPGPU</keyword>
|
||||
<keyword>CPP11</keyword>
|
||||
<keyword>CUDA</keyword>
|
||||
<keyword>scan</keyword>
|
||||
<keyword>parallel prefix sum</keyword>
|
||||
<keyword>Data-Parallel Algorithms</keyword>
|
||||
</keywords>
|
||||
<libraries>
|
||||
</libraries>
|
||||
<librarypaths>
|
||||
</librarypaths>
|
||||
<nsight_eclipse>true</nsight_eclipse>
|
||||
<primary_file>shfl_scan.cu</primary_file>
|
||||
<required_dependencies>
|
||||
<dependency>CPP11</dependency>
|
||||
</required_dependencies>
|
||||
<scopes>
|
||||
<scope>1:CUDA Advanced Topics</scope>
|
||||
<scope>1:Data-Parallel Algorithms</scope>
|
||||
<scope>1:Performance Strategies</scope>
|
||||
</scopes>
|
||||
<sm-arch>sm35</sm-arch>
|
||||
<sm-arch>sm37</sm-arch>
|
||||
<sm-arch>sm50</sm-arch>
|
||||
<sm-arch>sm52</sm-arch>
|
||||
<sm-arch>sm53</sm-arch>
|
||||
<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>
|
||||
<sm-arch>sm87</sm-arch>
|
||||
<supported_envs>
|
||||
<env>
|
||||
<arch>x86_64</arch>
|
||||
<platform>linux</platform>
|
||||
</env>
|
||||
<env>
|
||||
<platform>windows7</platform>
|
||||
</env>
|
||||
<env>
|
||||
<arch>x86_64</arch>
|
||||
<platform>macosx</platform>
|
||||
</env>
|
||||
<env>
|
||||
<arch>arm</arch>
|
||||
</env>
|
||||
<env>
|
||||
<arch>aarch64</arch>
|
||||
</env>
|
||||
<env>
|
||||
<arch>sbsa</arch>
|
||||
</env>
|
||||
<env>
|
||||
<arch>ppc64le</arch>
|
||||
<platform>linux</platform>
|
||||
</env>
|
||||
</supported_envs>
|
||||
<supported_sm_architectures>
|
||||
<from>3.5</from>
|
||||
</supported_sm_architectures>
|
||||
<title>CUDA Parallel Prefix Sum with Shuffle Intrinsics (SHFL_Scan)</title>
|
||||
<type>exe</type>
|
||||
</entry>
|
||||
74
Samples/2_Concepts_and_Techniques/shfl_scan/README.md
Normal file
74
Samples/2_Concepts_and_Techniques/shfl_scan/README.md
Normal file
@@ -0,0 +1,74 @@
|
||||
# shfl_scan - CUDA Parallel Prefix Sum with Shuffle Intrinsics (SHFL_Scan)
|
||||
|
||||
## Description
|
||||
|
||||
This example demonstrates how to use the shuffle intrinsic __shfl_up_sync to perform a scan operation across a thread block.
|
||||
|
||||
## Key Concepts
|
||||
|
||||
Data-Parallel Algorithms, Performance Strategies
|
||||
|
||||
## 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, armv7l, aarch64
|
||||
|
||||
## CUDA APIs involved
|
||||
|
||||
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
|
||||
cudaMemset, cudaFree, cudaEventRecord, cudaMallocHost, cudaEventCreate, cudaEventElapsedTime, cudaEventSynchronize, cudaFreeHost, cudaMalloc, cudaMemcpy, cudaGetDeviceProperties, cudaGetDevice
|
||||
|
||||
## Dependencies needed to build/run
|
||||
[CPP11](../../README.md#cpp11)
|
||||
|
||||
## 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, armv7l, aarch64.
|
||||
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
|
||||
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/> `$ make TARGET_ARCH=aarch64` <br/>
|
||||
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
|
||||
* **dbg=1** - build with debug symbols
|
||||
```
|
||||
$ make dbg=1
|
||||
```
|
||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
|
||||
```
|
||||
$ make SMS="50 60"
|
||||
```
|
||||
|
||||
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
|
||||
```
|
||||
$ make HOST_COMPILER=g++
|
||||
```
|
||||
|
||||
## References (for more details)
|
||||
|
||||
@@ -0,0 +1,310 @@
|
||||
/* 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.
|
||||
*/
|
||||
|
||||
#include <cooperative_groups.h>
|
||||
|
||||
namespace cg = cooperative_groups;
|
||||
|
||||
// Utility function to extract unsigned chars from an
|
||||
// unsigned integer
|
||||
__device__ uchar4 uint_to_uchar4(const unsigned int in) {
|
||||
return make_uchar4((in & 0x000000ff) >> 0, (in & 0x0000ff00) >> 8,
|
||||
(in & 0x00ff0000) >> 16, (in & 0xff000000) >> 24);
|
||||
}
|
||||
|
||||
// Utility for dealing with vector data at different levels.
|
||||
struct packed_result {
|
||||
uint4 x, y, z, w;
|
||||
};
|
||||
|
||||
__device__ packed_result get_prefix_sum(const uint4 &data,
|
||||
const cg::thread_block &cta) {
|
||||
const auto tile = cg::tiled_partition<32>(cta);
|
||||
|
||||
__shared__ unsigned int sums[128];
|
||||
const unsigned int lane_id = tile.thread_rank();
|
||||
const unsigned int warp_id = tile.meta_group_rank();
|
||||
|
||||
unsigned int result[16] = {};
|
||||
{
|
||||
const uchar4 a = uint_to_uchar4(data.x);
|
||||
const uchar4 b = uint_to_uchar4(data.y);
|
||||
const uchar4 c = uint_to_uchar4(data.z);
|
||||
const uchar4 d = uint_to_uchar4(data.w);
|
||||
|
||||
result[0] = a.x;
|
||||
result[1] = a.x + a.y;
|
||||
result[2] = a.x + a.y + a.z;
|
||||
result[3] = a.x + a.y + a.z + a.w;
|
||||
|
||||
result[4] = b.x;
|
||||
result[5] = b.x + b.y;
|
||||
result[6] = b.x + b.y + b.z;
|
||||
result[7] = b.x + b.y + b.z + b.w;
|
||||
|
||||
result[8] = c.x;
|
||||
result[9] = c.x + c.y;
|
||||
result[10] = c.x + c.y + c.z;
|
||||
result[11] = c.x + c.y + c.z + c.w;
|
||||
|
||||
result[12] = d.x;
|
||||
result[13] = d.x + d.y;
|
||||
result[14] = d.x + d.y + d.z;
|
||||
result[15] = d.x + d.y + d.z + d.w;
|
||||
}
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 4; i <= 7; i++) result[i] += result[3];
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 8; i <= 11; i++) result[i] += result[7];
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 12; i <= 15; i++) result[i] += result[11];
|
||||
|
||||
unsigned int sum = result[15];
|
||||
|
||||
// the prefix sum for each thread's 16 value is computed,
|
||||
// now the final sums (result[15]) need to be shared
|
||||
// with the other threads and add. To do this,
|
||||
// the __shfl_up() instruction is used and a shuffle scan
|
||||
// operation is performed to distribute the sums to the correct
|
||||
// threads
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 1; i < 32; i *= 2) {
|
||||
const unsigned int n = tile.shfl_up(sum, i);
|
||||
|
||||
if (lane_id >= i) {
|
||||
#pragma unroll
|
||||
for (unsigned int j = 0; j < 16; j++) {
|
||||
result[j] += n;
|
||||
}
|
||||
|
||||
sum += n;
|
||||
}
|
||||
}
|
||||
|
||||
// Now the final sum for the warp must be shared
|
||||
// between warps. This is done by each warp
|
||||
// having a thread store to shared memory, then
|
||||
// having some other warp load the values and
|
||||
// compute a prefix sum, again by using __shfl_up.
|
||||
// The results are uniformly added back to the warps.
|
||||
// last thread in the warp holding sum of the warp
|
||||
// places that in shared
|
||||
if (tile.thread_rank() == (tile.size() - 1)) {
|
||||
sums[warp_id] = result[15];
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
|
||||
if (warp_id == 0) {
|
||||
unsigned int warp_sum = sums[lane_id];
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 1; i <= 16; i *= 2) {
|
||||
const unsigned int n = tile.shfl_up(warp_sum, i);
|
||||
|
||||
if (lane_id >= i) warp_sum += n;
|
||||
}
|
||||
|
||||
sums[lane_id] = warp_sum;
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// fold in unused warp
|
||||
if (warp_id > 0) {
|
||||
const unsigned int blockSum = sums[warp_id - 1];
|
||||
|
||||
#pragma unroll
|
||||
for (unsigned int i = 0; i < 16; i++) {
|
||||
result[i] += blockSum;
|
||||
}
|
||||
}
|
||||
|
||||
packed_result out;
|
||||
memcpy(&out, result, sizeof(out));
|
||||
return out;
|
||||
}
|
||||
|
||||
// This function demonstrates some uses of the shuffle instruction
|
||||
// in the generation of an integral image (also
|
||||
// called a summed area table)
|
||||
// The approach is two pass, a horizontal (scanline) then a vertical
|
||||
// (column) pass.
|
||||
// This is the horizontal pass kernel.
|
||||
__global__ void shfl_intimage_rows(const uint4 *img, uint4 *integral_image) {
|
||||
const auto cta = cg::this_thread_block();
|
||||
const auto tile = cg::tiled_partition<32>(cta);
|
||||
|
||||
const unsigned int id = threadIdx.x;
|
||||
// pointer to head of current scanline
|
||||
const uint4 *scanline = &img[blockIdx.x * 120];
|
||||
packed_result result = get_prefix_sum(scanline[id], cta);
|
||||
|
||||
// This access helper allows packed_result to stay optimized as registers
|
||||
// rather than spill to stack
|
||||
auto idxToElem = [&result](unsigned int idx) -> const uint4 {
|
||||
switch (idx) {
|
||||
case 0:
|
||||
return result.x;
|
||||
case 1:
|
||||
return result.y;
|
||||
case 2:
|
||||
return result.z;
|
||||
case 3:
|
||||
return result.w;
|
||||
}
|
||||
return {};
|
||||
};
|
||||
|
||||
// assemble result
|
||||
// Each thread has 16 values to write, which are
|
||||
// now integer data (to avoid overflow). Instead of
|
||||
// each thread writing consecutive uint4s, the
|
||||
// approach shown here experiments using
|
||||
// the shuffle command to reformat the data
|
||||
// inside the registers so that each thread holds
|
||||
// consecutive data to be written so larger contiguous
|
||||
// segments can be assembled for writing.
|
||||
/*
|
||||
For example data that needs to be written as
|
||||
|
||||
GMEM[16] <- x0 x1 x2 x3 y0 y1 y2 y3 z0 z1 z2 z3 w0 w1 w2 w3
|
||||
but is stored in registers (r0..r3), in four threads (0..3) as:
|
||||
|
||||
threadId 0 1 2 3
|
||||
r0 x0 y0 z0 w0
|
||||
r1 x1 y1 z1 w1
|
||||
r2 x2 y2 z2 w2
|
||||
r3 x3 y3 z3 w3
|
||||
|
||||
after apply __shfl_xor operations to move data between registers r1..r3:
|
||||
|
||||
threadId 00 01 10 11
|
||||
x0 y0 z0 w0
|
||||
xor(01)->y1 x1 w1 z1
|
||||
xor(10)->z2 w2 x2 y2
|
||||
xor(11)->w3 z3 y3 x3
|
||||
|
||||
and now x0..x3, and z0..z3 can be written out in order by all threads.
|
||||
|
||||
In the current code, each register above is actually representing
|
||||
four integers to be written as uint4's to GMEM.
|
||||
*/
|
||||
|
||||
const unsigned int idMask = id & 3;
|
||||
const unsigned int idSwizzle = (id + 2) & 3;
|
||||
const unsigned int idShift = (id >> 2) << 4;
|
||||
const unsigned int blockOffset = blockIdx.x * 480;
|
||||
|
||||
// Use CG tile to warp shuffle vector types
|
||||
result.y = tile.shfl_xor(result.y, 1);
|
||||
result.z = tile.shfl_xor(result.z, 2);
|
||||
result.w = tile.shfl_xor(result.w, 3);
|
||||
|
||||
// First batch
|
||||
integral_image[blockOffset + idMask + idShift] = idxToElem(idMask);
|
||||
// Second batch offset by 2
|
||||
integral_image[blockOffset + idSwizzle + idShift + 8] = idxToElem(idSwizzle);
|
||||
|
||||
// continuing from the above example,
|
||||
// this use of __shfl_xor() places the y0..y3 and w0..w3 data
|
||||
// in order.
|
||||
result.x = tile.shfl_xor(result.x, 1);
|
||||
result.y = tile.shfl_xor(result.y, 1);
|
||||
result.z = tile.shfl_xor(result.z, 1);
|
||||
result.w = tile.shfl_xor(result.w, 1);
|
||||
|
||||
// First batch
|
||||
integral_image[blockOffset + idMask + idShift + 4] = idxToElem(idMask);
|
||||
// Second batch offset by 2
|
||||
integral_image[blockOffset + idSwizzle + idShift + 12] = idxToElem(idSwizzle);
|
||||
}
|
||||
|
||||
// This kernel computes columnwise prefix sums. When the data input is
|
||||
// the row sums from above, this completes the integral image.
|
||||
// The approach here is to have each block compute a local set of sums.
|
||||
// First , the data covered by the block is loaded into shared memory,
|
||||
// then instead of performing a sum in shared memory using __syncthreads
|
||||
// between stages, the data is reformatted so that the necessary sums
|
||||
// occur inside warps and the shuffle scan operation is used.
|
||||
// The final set of sums from the block is then propagated, with the block
|
||||
// computing "down" the image and adding the running sum to the local
|
||||
// block sums.
|
||||
__global__ void shfl_vertical_shfl(unsigned int *img, int width, int height) {
|
||||
__shared__ unsigned int sums[32][9];
|
||||
int tidx = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
// int warp_id = threadIdx.x / warpSize ;
|
||||
unsigned int lane_id = tidx % 8;
|
||||
// int rows_per_thread = (height / blockDim. y) ;
|
||||
// int start_row = rows_per_thread * threadIdx.y;
|
||||
unsigned int stepSum = 0;
|
||||
unsigned int mask = 0xffffffff;
|
||||
|
||||
sums[threadIdx.x][threadIdx.y] = 0;
|
||||
__syncthreads();
|
||||
|
||||
for (int step = 0; step < 135; step++) {
|
||||
unsigned int sum = 0;
|
||||
unsigned int *p = img + (threadIdx.y + step * 8) * width + tidx;
|
||||
|
||||
sum = *p;
|
||||
sums[threadIdx.x][threadIdx.y] = sum;
|
||||
__syncthreads();
|
||||
|
||||
// place into SMEM
|
||||
// shfl scan reduce the SMEM, reformating so the column
|
||||
// sums are computed in a warp
|
||||
// then read out properly
|
||||
int partial_sum = 0;
|
||||
int j = threadIdx.x % 8;
|
||||
int k = threadIdx.x / 8 + threadIdx.y * 4;
|
||||
|
||||
partial_sum = sums[k][j];
|
||||
|
||||
for (int i = 1; i <= 8; i *= 2) {
|
||||
int n = __shfl_up_sync(mask, partial_sum, i, 32);
|
||||
|
||||
if (lane_id >= i) partial_sum += n;
|
||||
}
|
||||
|
||||
sums[k][j] = partial_sum;
|
||||
__syncthreads();
|
||||
|
||||
if (threadIdx.y > 0) {
|
||||
sum += sums[threadIdx.x][threadIdx.y - 1];
|
||||
}
|
||||
|
||||
sum += stepSum;
|
||||
stepSum += sums[threadIdx.x][blockDim.y - 1];
|
||||
__syncthreads();
|
||||
*p = sum;
|
||||
}
|
||||
}
|
||||
418
Samples/2_Concepts_and_Techniques/shfl_scan/shfl_scan.cu
Normal file
418
Samples/2_Concepts_and_Techniques/shfl_scan/shfl_scan.cu
Normal file
@@ -0,0 +1,418 @@
|
||||
/* 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.
|
||||
*/
|
||||
|
||||
// Shuffle intrinsics CUDA Sample
|
||||
// This sample demonstrates the use of the shuffle intrinsic
|
||||
// First, a simple example of a prefix sum using the shuffle to
|
||||
// perform a scan operation is provided.
|
||||
// Secondly, a more involved example of computing an integral image
|
||||
// using the shuffle intrinsic is provided, where the shuffle
|
||||
// scan operation and shuffle xor operations are used
|
||||
|
||||
#include <stdio.h>
|
||||
|
||||
#include <cuda_runtime.h>
|
||||
|
||||
#include <helper_cuda.h>
|
||||
#include <helper_functions.h>
|
||||
#include "shfl_integral_image.cuh"
|
||||
|
||||
// Scan using shfl - takes log2(n) steps
|
||||
// This function demonstrates basic use of the shuffle intrinsic, __shfl_up,
|
||||
// to perform a scan operation across a block.
|
||||
// First, it performs a scan (prefix sum in this case) inside a warp
|
||||
// Then to continue the scan operation across the block,
|
||||
// each warp's sum is placed into shared memory. A single warp
|
||||
// then performs a shuffle scan on that shared memory. The results
|
||||
// are then uniformly added to each warp's threads.
|
||||
// This pyramid type approach is continued by placing each block's
|
||||
// final sum in global memory and prefix summing that via another kernel call,
|
||||
// then uniformly adding across the input data via the uniform_add<<<>>> kernel.
|
||||
|
||||
__global__ void shfl_scan_test(int *data, int width, int *partial_sums = NULL) {
|
||||
extern __shared__ int sums[];
|
||||
int id = ((blockIdx.x * blockDim.x) + threadIdx.x);
|
||||
int lane_id = id % warpSize;
|
||||
// determine a warp_id within a block
|
||||
int warp_id = threadIdx.x / warpSize;
|
||||
|
||||
// Below is the basic structure of using a shfl instruction
|
||||
// for a scan.
|
||||
// Record "value" as a variable - we accumulate it along the way
|
||||
int value = data[id];
|
||||
|
||||
// Now accumulate in log steps up the chain
|
||||
// compute sums, with another thread's value who is
|
||||
// distance delta away (i). Note
|
||||
// those threads where the thread 'i' away would have
|
||||
// been out of bounds of the warp are unaffected. This
|
||||
// creates the scan sum.
|
||||
|
||||
#pragma unroll
|
||||
for (int i = 1; i <= width; i *= 2) {
|
||||
unsigned int mask = 0xffffffff;
|
||||
int n = __shfl_up_sync(mask, value, i, width);
|
||||
|
||||
if (lane_id >= i) value += n;
|
||||
}
|
||||
|
||||
// value now holds the scan value for the individual thread
|
||||
// next sum the largest values for each warp
|
||||
|
||||
// write the sum of the warp to smem
|
||||
if (threadIdx.x % warpSize == warpSize - 1) {
|
||||
sums[warp_id] = value;
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
|
||||
//
|
||||
// scan sum the warp sums
|
||||
// the same shfl scan operation, but performed on warp sums
|
||||
//
|
||||
if (warp_id == 0 && lane_id < (blockDim.x / warpSize)) {
|
||||
int warp_sum = sums[lane_id];
|
||||
|
||||
int mask = (1 << (blockDim.x / warpSize)) - 1;
|
||||
for (int i = 1; i <= (blockDim.x / warpSize); i *= 2) {
|
||||
int n = __shfl_up_sync(mask, warp_sum, i, (blockDim.x / warpSize));
|
||||
|
||||
if (lane_id >= i) warp_sum += n;
|
||||
}
|
||||
|
||||
sums[lane_id] = warp_sum;
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
|
||||
// perform a uniform add across warps in the block
|
||||
// read neighbouring warp's sum and add it to threads value
|
||||
int blockSum = 0;
|
||||
|
||||
if (warp_id > 0) {
|
||||
blockSum = sums[warp_id - 1];
|
||||
}
|
||||
|
||||
value += blockSum;
|
||||
|
||||
// Now write out our result
|
||||
data[id] = value;
|
||||
|
||||
// last thread has sum, write write out the block's sum
|
||||
if (partial_sums != NULL && threadIdx.x == blockDim.x - 1) {
|
||||
partial_sums[blockIdx.x] = value;
|
||||
}
|
||||
}
|
||||
|
||||
// Uniform add: add partial sums array
|
||||
__global__ void uniform_add(int *data, int *partial_sums, int len) {
|
||||
__shared__ int buf;
|
||||
int id = ((blockIdx.x * blockDim.x) + threadIdx.x);
|
||||
|
||||
if (id > len) return;
|
||||
|
||||
if (threadIdx.x == 0) {
|
||||
buf = partial_sums[blockIdx.x];
|
||||
}
|
||||
|
||||
__syncthreads();
|
||||
data[id] += buf;
|
||||
}
|
||||
|
||||
static unsigned int iDivUp(unsigned int dividend, unsigned int divisor) {
|
||||
return ((dividend % divisor) == 0) ? (dividend / divisor)
|
||||
: (dividend / divisor + 1);
|
||||
}
|
||||
|
||||
// This function verifies the shuffle scan result, for the simple
|
||||
// prefix sum case.
|
||||
bool CPUverify(int *h_data, int *h_result, int n_elements) {
|
||||
// cpu verify
|
||||
for (int i = 0; i < n_elements - 1; i++) {
|
||||
h_data[i + 1] = h_data[i] + h_data[i + 1];
|
||||
}
|
||||
|
||||
int diff = 0;
|
||||
|
||||
for (int i = 0; i < n_elements; i++) {
|
||||
diff += h_data[i] - h_result[i];
|
||||
}
|
||||
|
||||
printf("CPU verify result diff (GPUvsCPU) = %d\n", diff);
|
||||
bool bTestResult = false;
|
||||
|
||||
if (diff == 0) bTestResult = true;
|
||||
|
||||
StopWatchInterface *hTimer = NULL;
|
||||
sdkCreateTimer(&hTimer);
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
|
||||
for (int j = 0; j < 100; j++)
|
||||
for (int i = 0; i < n_elements - 1; i++) {
|
||||
h_data[i + 1] = h_data[i] + h_data[i + 1];
|
||||
}
|
||||
|
||||
sdkStopTimer(&hTimer);
|
||||
double cput = sdkGetTimerValue(&hTimer);
|
||||
printf("CPU sum (naive) took %f ms\n", cput / 100);
|
||||
return bTestResult;
|
||||
}
|
||||
|
||||
// this verifies the row scan result for synthetic data of all 1's
|
||||
unsigned int verifyDataRowSums(unsigned int *h_image, int w, int h) {
|
||||
unsigned int diff = 0;
|
||||
|
||||
for (int j = 0; j < h; j++) {
|
||||
for (int i = 0; i < w; i++) {
|
||||
int gold = i + 1;
|
||||
diff +=
|
||||
abs(static_cast<int>(gold) - static_cast<int>(h_image[j * w + i]));
|
||||
}
|
||||
}
|
||||
|
||||
return diff;
|
||||
}
|
||||
|
||||
bool shuffle_simple_test(int argc, char **argv) {
|
||||
int *h_data, *h_partial_sums, *h_result;
|
||||
int *d_data, *d_partial_sums;
|
||||
const int n_elements = 65536;
|
||||
int sz = sizeof(int) * n_elements;
|
||||
int cuda_device = 0;
|
||||
|
||||
printf("Starting shfl_scan\n");
|
||||
|
||||
// use command-line specified CUDA device, otherwise use device with highest
|
||||
// Gflops/s
|
||||
cuda_device = findCudaDevice(argc, (const char **)argv);
|
||||
|
||||
cudaDeviceProp deviceProp;
|
||||
checkCudaErrors(cudaGetDevice(&cuda_device));
|
||||
|
||||
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, cuda_device));
|
||||
|
||||
printf("> Detected Compute SM %d.%d hardware with %d multi-processors\n",
|
||||
deviceProp.major, deviceProp.minor, deviceProp.multiProcessorCount);
|
||||
|
||||
// __shfl intrinsic needs SM 3.0 or higher
|
||||
if (deviceProp.major < 3) {
|
||||
printf("> __shfl() intrinsic requires device SM 3.0+\n");
|
||||
printf("> Waiving test.\n");
|
||||
exit(EXIT_WAIVED);
|
||||
}
|
||||
|
||||
checkCudaErrors(cudaMallocHost(reinterpret_cast<void **>(&h_data),
|
||||
sizeof(int) * n_elements));
|
||||
checkCudaErrors(cudaMallocHost(reinterpret_cast<void **>(&h_result),
|
||||
sizeof(int) * n_elements));
|
||||
|
||||
// initialize data:
|
||||
printf("Computing Simple Sum test\n");
|
||||
printf("---------------------------------------------------\n");
|
||||
|
||||
printf("Initialize test data [1, 1, 1...]\n");
|
||||
|
||||
for (int i = 0; i < n_elements; i++) {
|
||||
h_data[i] = 1;
|
||||
}
|
||||
|
||||
int blockSize = 256;
|
||||
int gridSize = n_elements / blockSize;
|
||||
int nWarps = blockSize / 32;
|
||||
int shmem_sz = nWarps * sizeof(int);
|
||||
int n_partialSums = n_elements / blockSize;
|
||||
int partial_sz = n_partialSums * sizeof(int);
|
||||
|
||||
printf("Scan summation for %d elements, %d partial sums\n", n_elements,
|
||||
n_elements / blockSize);
|
||||
|
||||
int p_blockSize = min(n_partialSums, blockSize);
|
||||
int p_gridSize = iDivUp(n_partialSums, p_blockSize);
|
||||
printf("Partial summing %d elements with %d blocks of size %d\n",
|
||||
n_partialSums, p_gridSize, p_blockSize);
|
||||
|
||||
// initialize a timer
|
||||
cudaEvent_t start, stop;
|
||||
checkCudaErrors(cudaEventCreate(&start));
|
||||
checkCudaErrors(cudaEventCreate(&stop));
|
||||
float et = 0;
|
||||
float inc = 0;
|
||||
|
||||
checkCudaErrors(cudaMalloc(reinterpret_cast<void **>(&d_data), sz));
|
||||
checkCudaErrors(
|
||||
cudaMalloc(reinterpret_cast<void **>(&d_partial_sums), partial_sz));
|
||||
checkCudaErrors(cudaMemset(d_partial_sums, 0, partial_sz));
|
||||
|
||||
checkCudaErrors(
|
||||
cudaMallocHost(reinterpret_cast<void **>(&h_partial_sums), partial_sz));
|
||||
checkCudaErrors(cudaMemcpy(d_data, h_data, sz, cudaMemcpyHostToDevice));
|
||||
|
||||
checkCudaErrors(cudaEventRecord(start, 0));
|
||||
shfl_scan_test<<<gridSize, blockSize, shmem_sz>>>(d_data, 32, d_partial_sums);
|
||||
shfl_scan_test<<<p_gridSize, p_blockSize, shmem_sz>>>(d_partial_sums, 32);
|
||||
uniform_add<<<gridSize - 1, blockSize>>>(d_data + blockSize, d_partial_sums,
|
||||
n_elements);
|
||||
checkCudaErrors(cudaEventRecord(stop, 0));
|
||||
checkCudaErrors(cudaEventSynchronize(stop));
|
||||
checkCudaErrors(cudaEventElapsedTime(&inc, start, stop));
|
||||
et += inc;
|
||||
|
||||
checkCudaErrors(cudaMemcpy(h_result, d_data, sz, cudaMemcpyDeviceToHost));
|
||||
checkCudaErrors(cudaMemcpy(h_partial_sums, d_partial_sums, partial_sz,
|
||||
cudaMemcpyDeviceToHost));
|
||||
|
||||
printf("Test Sum: %d\n", h_partial_sums[n_partialSums - 1]);
|
||||
printf("Time (ms): %f\n", et);
|
||||
printf("%d elements scanned in %f ms -> %f MegaElements/s\n", n_elements, et,
|
||||
n_elements / (et / 1000.0f) / 1000000.0f);
|
||||
|
||||
bool bTestResult = CPUverify(h_data, h_result, n_elements);
|
||||
|
||||
checkCudaErrors(cudaFreeHost(h_data));
|
||||
checkCudaErrors(cudaFreeHost(h_result));
|
||||
checkCudaErrors(cudaFreeHost(h_partial_sums));
|
||||
checkCudaErrors(cudaFree(d_data));
|
||||
checkCudaErrors(cudaFree(d_partial_sums));
|
||||
|
||||
return bTestResult;
|
||||
}
|
||||
|
||||
// This function tests creation of an integral image using
|
||||
// synthetic data, of size 1920x1080 pixels greyscale.
|
||||
bool shuffle_integral_image_test() {
|
||||
char *d_data;
|
||||
unsigned int *h_image;
|
||||
unsigned int *d_integral_image;
|
||||
int w = 1920;
|
||||
int h = 1080;
|
||||
int n_elements = w * h;
|
||||
int sz = sizeof(unsigned int) * n_elements;
|
||||
|
||||
printf("\nComputing Integral Image Test on size %d x %d synthetic data\n", w,
|
||||
h);
|
||||
printf("---------------------------------------------------\n");
|
||||
checkCudaErrors(cudaMallocHost(reinterpret_cast<void **>(&h_image), sz));
|
||||
// fill test "image" with synthetic 1's data
|
||||
memset(h_image, 0, sz);
|
||||
|
||||
// each thread handles 16 values, use 1 block/row
|
||||
int blockSize = iDivUp(w, 16);
|
||||
// launch 1 block / row
|
||||
int gridSize = h;
|
||||
|
||||
// Create a synthetic image for testing
|
||||
checkCudaErrors(cudaMalloc(reinterpret_cast<void **>(&d_data), sz));
|
||||
checkCudaErrors(cudaMalloc(reinterpret_cast<void **>(&d_integral_image),
|
||||
n_elements * sizeof(int) * 4));
|
||||
checkCudaErrors(cudaMemset(d_data, 1, sz));
|
||||
checkCudaErrors(cudaMemset(d_integral_image, 0, sz));
|
||||
|
||||
cudaEvent_t start, stop;
|
||||
cudaEventCreate(&start);
|
||||
cudaEventCreate(&stop);
|
||||
float et = 0;
|
||||
unsigned int err;
|
||||
|
||||
// Execute scan line prefix sum kernel, and time it
|
||||
cudaEventRecord(start);
|
||||
shfl_intimage_rows<<<gridSize, blockSize>>>(
|
||||
reinterpret_cast<uint4 *>(d_data),
|
||||
reinterpret_cast<uint4 *>(d_integral_image));
|
||||
cudaEventRecord(stop);
|
||||
checkCudaErrors(cudaEventSynchronize(stop));
|
||||
checkCudaErrors(cudaEventElapsedTime(&et, start, stop));
|
||||
printf("Method: Fast Time (GPU Timer): %f ms ", et);
|
||||
|
||||
// verify the scan line results
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(h_image, d_integral_image, sz, cudaMemcpyDeviceToHost));
|
||||
err = verifyDataRowSums(h_image, w, h);
|
||||
printf("Diff = %d\n", err);
|
||||
|
||||
// Execute column prefix sum kernel and time it
|
||||
dim3 blockSz(32, 8);
|
||||
dim3 testGrid(w / blockSz.x, 1);
|
||||
|
||||
cudaEventRecord(start);
|
||||
shfl_vertical_shfl<<<testGrid, blockSz>>>((unsigned int *)d_integral_image, w,
|
||||
h);
|
||||
cudaEventRecord(stop);
|
||||
checkCudaErrors(cudaEventSynchronize(stop));
|
||||
checkCudaErrors(cudaEventElapsedTime(&et, start, stop));
|
||||
printf("Method: Vertical Scan Time (GPU Timer): %f ms ", et);
|
||||
|
||||
// Verify the column results
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(h_image, d_integral_image, sz, cudaMemcpyDeviceToHost));
|
||||
printf("\n");
|
||||
|
||||
int finalSum = h_image[w * h - 1];
|
||||
printf("CheckSum: %d, (expect %dx%d=%d)\n", finalSum, w, h, w * h);
|
||||
|
||||
checkCudaErrors(cudaFree(d_data));
|
||||
checkCudaErrors(cudaFree(d_integral_image));
|
||||
checkCudaErrors(cudaFreeHost(h_image));
|
||||
// verify final sum: if the final value in the corner is the same as the size
|
||||
// of the buffer (all 1's) then the integral image was generated successfully
|
||||
return (finalSum == w * h) ? true : false;
|
||||
}
|
||||
|
||||
int main(int argc, char *argv[]) {
|
||||
// Initialization. The shuffle intrinsic is not available on SM < 3.0
|
||||
// so waive the test if the hardware is not present.
|
||||
int cuda_device = 0;
|
||||
|
||||
printf("Starting shfl_scan\n");
|
||||
|
||||
// use command-line specified CUDA device, otherwise use device with highest
|
||||
// Gflops/s
|
||||
cuda_device = findCudaDevice(argc, (const char **)argv);
|
||||
|
||||
cudaDeviceProp deviceProp;
|
||||
checkCudaErrors(cudaGetDevice(&cuda_device));
|
||||
|
||||
checkCudaErrors(cudaGetDeviceProperties(&deviceProp, cuda_device));
|
||||
|
||||
printf("> Detected Compute SM %d.%d hardware with %d multi-processors\n",
|
||||
deviceProp.major, deviceProp.minor, deviceProp.multiProcessorCount);
|
||||
|
||||
// __shfl intrinsic needs SM 3.0 or higher
|
||||
if (deviceProp.major < 3) {
|
||||
printf("> __shfl() intrinsic requires device SM 3.0+\n");
|
||||
printf("> Waiving test.\n");
|
||||
exit(EXIT_WAIVED);
|
||||
}
|
||||
|
||||
bool bTestResult = true;
|
||||
bool simpleTest = shuffle_simple_test(argc, argv);
|
||||
bool intTest = shuffle_integral_image_test();
|
||||
|
||||
bTestResult = simpleTest & intTest;
|
||||
|
||||
exit((bTestResult) ? EXIT_SUCCESS : EXIT_FAILURE);
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2017
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "shfl_scan", "shfl_scan_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
|
||||
@@ -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>shfl_scan_vs2017</RootNamespace>
|
||||
<ProjectName>shfl_scan</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 11.6.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)/shfl_scan.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" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<ClCompile>
|
||||
<Optimization>Disabled</Optimization>
|
||||
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MTd</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
|
||||
<ClCompile>
|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<CudaCompile Include="shfl_scan.cu" />
|
||||
<ClInclude Include="util.h" />
|
||||
<None Include="shfl_integral_image.cuh" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2019
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "shfl_scan", "shfl_scan_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
|
||||
@@ -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>shfl_scan_vs2019</RootNamespace>
|
||||
<ProjectName>shfl_scan</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="$(CUDAPropsPath)\CUDA 11.6.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(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>$(OutDir)/shfl_scan.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<ClCompile>
|
||||
<Optimization>Disabled</Optimization>
|
||||
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MTd</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
|
||||
<ClCompile>
|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<CudaCompile Include="shfl_scan.cu" />
|
||||
<ClInclude Include="util.h" />
|
||||
<None Include="shfl_integral_image.cuh" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2022
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "shfl_scan", "shfl_scan_vs2022.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
|
||||
Release|x64 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
|
||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
|
||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
|
||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
EndGlobal
|
||||
@@ -0,0 +1,109 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
|
||||
<PropertyGroup>
|
||||
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
|
||||
</PropertyGroup>
|
||||
<ItemGroup Label="ProjectConfigurations">
|
||||
<ProjectConfiguration Include="Debug|x64">
|
||||
<Configuration>Debug</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
<ProjectConfiguration Include="Release|x64">
|
||||
<Configuration>Release</Configuration>
|
||||
<Platform>x64</Platform>
|
||||
</ProjectConfiguration>
|
||||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>shfl_scan_vs2022</RootNamespace>
|
||||
<ProjectName>shfl_scan</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
<PropertyGroup>
|
||||
<ConfigurationType>Application</ConfigurationType>
|
||||
<CharacterSet>MultiByte</CharacterSet>
|
||||
<PlatformToolset>v143</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 11.6.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)/shfl_scan.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" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
|
||||
<ClCompile>
|
||||
<Optimization>Disabled</Optimization>
|
||||
<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MTd</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
|
||||
<ClCompile>
|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<CudaCompile Include="shfl_scan.cu" />
|
||||
<ClInclude Include="util.h" />
|
||||
<None Include="shfl_integral_image.cuh" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
61
Samples/2_Concepts_and_Techniques/shfl_scan/util.h
Normal file
61
Samples/2_Concepts_and_Techniques/shfl_scan/util.h
Normal file
@@ -0,0 +1,61 @@
|
||||
/* 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.
|
||||
*/
|
||||
|
||||
#ifndef SAMPLES_SHFL_SCAN_UTIL_H_
|
||||
#define SAMPLES_SHFL_SCAN_UTIL_H_
|
||||
|
||||
// Macro to catch CUDA errors in kernel launches
|
||||
#define CHECK_LAUNCH_ERROR() \
|
||||
do { \
|
||||
/* Check synchronous errors, i.e. pre-launch */ \
|
||||
cudaError_t err = cudaGetLastError(); \
|
||||
if (cudaSuccess != err) { \
|
||||
fprintf(stderr, "Cuda error in file '%s' in line %i : %s.\n", __FILE__, \
|
||||
__LINE__, cudaGetErrorString(err)); \
|
||||
exit(EXIT_FAILURE); \
|
||||
} \
|
||||
/* Check asynchronous errors, i.e. kernel failed (ULF) */ \
|
||||
err = cudaDeviceSynchronize(); \
|
||||
if (cudaSuccess != err) { \
|
||||
fprintf(stderr, "Cuda error in file '%s' in line %i : %s!\n", __FILE__, \
|
||||
__LINE__, cudaGetErrorString(err)); \
|
||||
exit(EXIT_FAILURE); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
// Macro to catch CUDA errors in CUDA runtime calls
|
||||
#define CUDA_CHECK(call) \
|
||||
do { \
|
||||
cudaError_t err = call; \
|
||||
if (cudaSuccess != err) { \
|
||||
fprintf(stderr, "Cuda error in file '%s' in line %i : %s.\n", __FILE__, \
|
||||
__LINE__, cudaGetErrorString(err)); \
|
||||
exit(EXIT_FAILURE); \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
#endif // SAMPLES_SHFL_SCAN_UTIL_H_
|
||||
Reference in New Issue
Block a user