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/5_Domain_Specific/fastWalshTransform/.vscode/c_cpp_properties.json
vendored
Normal file
18
Samples/5_Domain_Specific/fastWalshTransform/.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/5_Domain_Specific/fastWalshTransform/.vscode/extensions.json
vendored
Normal file
7
Samples/5_Domain_Specific/fastWalshTransform/.vscode/extensions.json
vendored
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"recommendations": [
|
||||
"nvidia.nsight-vscode-edition",
|
||||
"ms-vscode.cpptools",
|
||||
"ms-vscode.makefile-tools"
|
||||
]
|
||||
}
|
||||
10
Samples/5_Domain_Specific/fastWalshTransform/.vscode/launch.json
vendored
Normal file
10
Samples/5_Domain_Specific/fastWalshTransform/.vscode/launch.json
vendored
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"configurations": [
|
||||
{
|
||||
"name": "CUDA C++: Launch",
|
||||
"type": "cuda-gdb",
|
||||
"request": "launch",
|
||||
"program": "${workspaceFolder}/fastWalshTransform"
|
||||
}
|
||||
]
|
||||
}
|
||||
15
Samples/5_Domain_Specific/fastWalshTransform/.vscode/tasks.json
vendored
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15
Samples/5_Domain_Specific/fastWalshTransform/.vscode/tasks.json
vendored
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@@ -0,0 +1,15 @@
|
||||
{
|
||||
"version": "2.0.0",
|
||||
"tasks": [
|
||||
{
|
||||
"label": "sample",
|
||||
"type": "shell",
|
||||
"command": "make dbg=1",
|
||||
"problemMatcher": ["$nvcc"],
|
||||
"group": {
|
||||
"kind": "build",
|
||||
"isDefault": true
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
343
Samples/5_Domain_Specific/fastWalshTransform/Makefile
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343
Samples/5_Domain_Specific/fastWalshTransform/Makefile
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@@ -0,0 +1,343 @@
|
||||
################################################################################
|
||||
# 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
|
||||
|
||||
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 :=
|
||||
|
||||
################################################################################
|
||||
|
||||
# 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 += --threads 0 --std=c++11
|
||||
|
||||
ifeq ($(SAMPLE_ENABLED),0)
|
||||
EXEC ?= @echo "[@]"
|
||||
endif
|
||||
|
||||
################################################################################
|
||||
|
||||
# Target rules
|
||||
all: build
|
||||
|
||||
build: fastWalshTransform
|
||||
|
||||
check.deps:
|
||||
ifeq ($(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
|
||||
|
||||
fastWalshTransform.o:fastWalshTransform.cu
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
||||
|
||||
fastWalshTransform_gold.o:fastWalshTransform_gold.cpp
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
||||
|
||||
fastWalshTransform: fastWalshTransform.o fastWalshTransform_gold.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
|
||||
$(EXEC) ./fastWalshTransform
|
||||
|
||||
testrun: build
|
||||
|
||||
clean:
|
||||
rm -f fastWalshTransform fastWalshTransform.o fastWalshTransform_gold.o
|
||||
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/fastWalshTransform
|
||||
|
||||
clobber: clean
|
||||
@@ -0,0 +1,85 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
|
||||
<entry>
|
||||
<name>fastWalshTransform</name>
|
||||
<cuda_api_list>
|
||||
<toolkit>cudaMemset</toolkit>
|
||||
<toolkit>cudaFree</toolkit>
|
||||
<toolkit>cudaDeviceSynchronize</toolkit>
|
||||
<toolkit>cudaMalloc</toolkit>
|
||||
<toolkit>cudaMemcpy</toolkit>
|
||||
</cuda_api_list>
|
||||
<description><![CDATA[Naturally(Hadamard)-ordered Fast Walsh Transform for batching vectors of arbitrary eligible lengths that are power of two in size.]]></description>
|
||||
<devicecompilation>whole</devicecompilation>
|
||||
<includepaths>
|
||||
<path>./</path>
|
||||
<path>../</path>
|
||||
<path>../../../Common</path>
|
||||
</includepaths>
|
||||
<keyconcepts>
|
||||
<concept level="advanced">Linear Algebra</concept>
|
||||
<concept level="advanced">Data-Parallel Algorithms</concept>
|
||||
<concept level="advanced">Video Compression</concept>
|
||||
</keyconcepts>
|
||||
<keywords>
|
||||
<keyword>CUDA</keyword>
|
||||
<keyword>DSP</keyword>
|
||||
<keyword>Linear Algebra</keyword>
|
||||
<keyword>dyadic convolution</keyword>
|
||||
</keywords>
|
||||
<libraries>
|
||||
</libraries>
|
||||
<librarypaths>
|
||||
</librarypaths>
|
||||
<nsight_eclipse>true</nsight_eclipse>
|
||||
<primary_file>fastWalshTransform.cu</primary_file>
|
||||
<scopes>
|
||||
<scope>1:CUDA Advanced Topics</scope>
|
||||
<scope>3:Linear Algebra</scope>
|
||||
<scope>1:Data-Parallel Algorithms</scope>
|
||||
<scope>2:Image Processing</scope>
|
||||
<scope>2:Data Compression</scope>
|
||||
<scope>2:Video Codecs</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>sbsa</arch>
|
||||
</env>
|
||||
<env>
|
||||
<arch>ppc64le</arch>
|
||||
<platform>linux</platform>
|
||||
</env>
|
||||
</supported_envs>
|
||||
<supported_sm_architectures>
|
||||
<include>all</include>
|
||||
</supported_sm_architectures>
|
||||
<title>Fast Walsh Transform</title>
|
||||
<type>exe</type>
|
||||
</entry>
|
||||
70
Samples/5_Domain_Specific/fastWalshTransform/README.md
Normal file
70
Samples/5_Domain_Specific/fastWalshTransform/README.md
Normal file
@@ -0,0 +1,70 @@
|
||||
# fastWalshTransform - Fast Walsh Transform
|
||||
|
||||
## Description
|
||||
|
||||
Naturally(Hadamard)-ordered Fast Walsh Transform for batching vectors of arbitrary eligible lengths that are power of two in size.
|
||||
|
||||
## Key Concepts
|
||||
|
||||
Linear Algebra, Data-Parallel Algorithms, Video Compression
|
||||
|
||||
## 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
|
||||
|
||||
## CUDA APIs involved
|
||||
|
||||
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
|
||||
cudaMemset, cudaFree, cudaDeviceSynchronize, cudaMalloc, cudaMemcpy
|
||||
|
||||
## Prerequisites
|
||||
|
||||
Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
|
||||
|
||||
## Build and Run
|
||||
|
||||
### Windows
|
||||
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
|
||||
```
|
||||
*_vs<version>.sln - for Visual Studio <version>
|
||||
```
|
||||
Each individual sample has its own set of solution files in its directory:
|
||||
|
||||
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
|
||||
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
|
||||
|
||||
### Linux
|
||||
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
|
||||
```
|
||||
$ cd <sample_dir>
|
||||
$ make
|
||||
```
|
||||
The samples makefiles can take advantage of certain options:
|
||||
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
|
||||
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
|
||||
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
|
||||
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
|
||||
* **dbg=1** - build with debug symbols
|
||||
```
|
||||
$ make dbg=1
|
||||
```
|
||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
|
||||
```
|
||||
$ make SMS="50 60"
|
||||
```
|
||||
|
||||
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
|
||||
```
|
||||
$ make HOST_COMPILER=g++
|
||||
```
|
||||
|
||||
## References (for more details)
|
||||
|
||||
BIN
Samples/5_Domain_Specific/fastWalshTransform/doc/FWT.doc
Normal file
BIN
Samples/5_Domain_Specific/fastWalshTransform/doc/FWT.doc
Normal file
Binary file not shown.
@@ -0,0 +1,169 @@
|
||||
/* 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.
|
||||
*/
|
||||
|
||||
/*
|
||||
* Walsh transforms belong to a class of generalized Fourier transformations.
|
||||
* They have applications in various fields of electrical engineering
|
||||
* and numeric theory. In this sample we demonstrate efficient implementation
|
||||
* of naturally-ordered Walsh transform
|
||||
* (also known as Walsh-Hadamard or Hadamard transform) in CUDA and its
|
||||
* particular application to dyadic convolution computation.
|
||||
* Refer to excellent Jorg Arndt's "Algorithms for Programmers" textbook
|
||||
* http://www.jjj.de/fxt/fxtbook.pdf (Chapter 22)
|
||||
*
|
||||
* Victor Podlozhnyuk (vpodlozhnyuk@nvidia.com)
|
||||
*/
|
||||
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <helper_functions.h>
|
||||
#include <helper_cuda.h>
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Reference CPU FWT
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
extern "C" void fwtCPU(float *h_Output, float *h_Input, int log2N);
|
||||
extern "C" void slowWTcpu(float *h_Output, float *h_Input, int log2N);
|
||||
extern "C" void dyadicConvolutionCPU(float *h_Result, float *h_Data,
|
||||
float *h_Kernel, int log2dataN,
|
||||
int log2kernelN);
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// GPU FWT
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
#include "fastWalshTransform_kernel.cuh"
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Data configuration
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
const int log2Kernel = 7;
|
||||
const int log2Data = 23;
|
||||
|
||||
const int dataN = 1 << log2Data;
|
||||
const int kernelN = 1 << log2Kernel;
|
||||
|
||||
const int DATA_SIZE = dataN * sizeof(float);
|
||||
const int KERNEL_SIZE = kernelN * sizeof(float);
|
||||
|
||||
const double NOPS = 3.0 * (double)dataN * (double)log2Data / 2.0;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Main program
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
int main(int argc, char *argv[]) {
|
||||
float *h_Data, *h_Kernel, *h_ResultCPU, *h_ResultGPU;
|
||||
|
||||
float *d_Data, *d_Kernel;
|
||||
|
||||
double delta, ref, sum_delta2, sum_ref2, L2norm, gpuTime;
|
||||
|
||||
StopWatchInterface *hTimer = NULL;
|
||||
int i;
|
||||
|
||||
printf("%s Starting...\n\n", argv[0]);
|
||||
|
||||
// use command-line specified CUDA device, otherwise use device with highest
|
||||
// Gflops/s
|
||||
findCudaDevice(argc, (const char **)argv);
|
||||
|
||||
sdkCreateTimer(&hTimer);
|
||||
|
||||
printf("Initializing data...\n");
|
||||
printf("...allocating CPU memory\n");
|
||||
h_Kernel = (float *)malloc(KERNEL_SIZE);
|
||||
h_Data = (float *)malloc(DATA_SIZE);
|
||||
h_ResultCPU = (float *)malloc(DATA_SIZE);
|
||||
h_ResultGPU = (float *)malloc(DATA_SIZE);
|
||||
printf("...allocating GPU memory\n");
|
||||
checkCudaErrors(cudaMalloc((void **)&d_Kernel, DATA_SIZE));
|
||||
checkCudaErrors(cudaMalloc((void **)&d_Data, DATA_SIZE));
|
||||
|
||||
printf("...generating data\n");
|
||||
printf("Data length: %i; kernel length: %i\n", dataN, kernelN);
|
||||
srand(2007);
|
||||
|
||||
for (i = 0; i < kernelN; i++) {
|
||||
h_Kernel[i] = (float)rand() / (float)RAND_MAX;
|
||||
}
|
||||
|
||||
for (i = 0; i < dataN; i++) {
|
||||
h_Data[i] = (float)rand() / (float)RAND_MAX;
|
||||
}
|
||||
|
||||
checkCudaErrors(cudaMemset(d_Kernel, 0, DATA_SIZE));
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(d_Kernel, h_Kernel, KERNEL_SIZE, cudaMemcpyHostToDevice));
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(d_Data, h_Data, DATA_SIZE, cudaMemcpyHostToDevice));
|
||||
|
||||
printf("Running GPU dyadic convolution using Fast Walsh Transform...\n");
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
sdkResetTimer(&hTimer);
|
||||
sdkStartTimer(&hTimer);
|
||||
fwtBatchGPU(d_Data, 1, log2Data);
|
||||
fwtBatchGPU(d_Kernel, 1, log2Data);
|
||||
modulateGPU(d_Data, d_Kernel, dataN);
|
||||
fwtBatchGPU(d_Data, 1, log2Data);
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
sdkStopTimer(&hTimer);
|
||||
gpuTime = sdkGetTimerValue(&hTimer);
|
||||
printf("GPU time: %f ms; GOP/s: %f\n", gpuTime,
|
||||
NOPS / (gpuTime * 0.001 * 1E+9));
|
||||
|
||||
printf("Reading back GPU results...\n");
|
||||
checkCudaErrors(
|
||||
cudaMemcpy(h_ResultGPU, d_Data, DATA_SIZE, cudaMemcpyDeviceToHost));
|
||||
|
||||
printf("Running straightforward CPU dyadic convolution...\n");
|
||||
dyadicConvolutionCPU(h_ResultCPU, h_Data, h_Kernel, log2Data, log2Kernel);
|
||||
|
||||
printf("Comparing the results...\n");
|
||||
sum_delta2 = 0;
|
||||
sum_ref2 = 0;
|
||||
|
||||
for (i = 0; i < dataN; i++) {
|
||||
delta = h_ResultCPU[i] - h_ResultGPU[i];
|
||||
ref = h_ResultCPU[i];
|
||||
sum_delta2 += delta * delta;
|
||||
sum_ref2 += ref * ref;
|
||||
}
|
||||
|
||||
L2norm = sqrt(sum_delta2 / sum_ref2);
|
||||
|
||||
printf("Shutting down...\n");
|
||||
sdkDeleteTimer(&hTimer);
|
||||
checkCudaErrors(cudaFree(d_Data));
|
||||
checkCudaErrors(cudaFree(d_Kernel));
|
||||
free(h_ResultGPU);
|
||||
free(h_ResultCPU);
|
||||
free(h_Data);
|
||||
free(h_Kernel);
|
||||
|
||||
printf("L2 norm: %E\n", L2norm);
|
||||
printf(L2norm < 1e-6 ? "Test passed\n" : "Test failed!\n");
|
||||
}
|
||||
@@ -0,0 +1,95 @@
|
||||
/* 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.
|
||||
*/
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// CPU Fast Walsh Transform
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
extern "C" void fwtCPU(float *h_Output, float *h_Input, int log2N) {
|
||||
const int N = 1 << log2N;
|
||||
|
||||
for (int pos = 0; pos < N; pos++) h_Output[pos] = h_Input[pos];
|
||||
|
||||
// Cycle through stages with different butterfly strides
|
||||
for (int stride = N / 2; stride >= 1; stride >>= 1) {
|
||||
// Cycle through subvectors of (2 * stride) elements
|
||||
for (int base = 0; base < N; base += 2 * stride)
|
||||
|
||||
// Butterfly index within subvector of (2 * stride) size
|
||||
for (int j = 0; j < stride; j++) {
|
||||
int i0 = base + j + 0;
|
||||
int i1 = base + j + stride;
|
||||
|
||||
float T1 = h_Output[i0];
|
||||
float T2 = h_Output[i1];
|
||||
h_Output[i0] = T1 + T2;
|
||||
h_Output[i1] = T1 - T2;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// Straightforward Walsh Transform: used to test both CPU and GPU FWT
|
||||
// Slow. Uses doubles because of straightforward accumulation
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
extern "C" void slowWTcpu(float *h_Output, float *h_Input, int log2N) {
|
||||
const int N = 1 << log2N;
|
||||
|
||||
for (int i = 0; i < N; i++) {
|
||||
double sum = 0;
|
||||
|
||||
for (int j = 0; j < N; j++) {
|
||||
// Walsh-Hadamard quotient
|
||||
double q = 1.0;
|
||||
|
||||
for (int t = i & j; t != 0; t >>= 1)
|
||||
if (t & 1) q = -q;
|
||||
|
||||
sum += q * h_Input[j];
|
||||
}
|
||||
|
||||
h_Output[i] = (float)sum;
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Reference CPU dyadic convolution.
|
||||
// Extremely slow because of non-linear memory access patterns (cache thrashing)
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
extern "C" void dyadicConvolutionCPU(float *h_Result, float *h_Data,
|
||||
float *h_Kernel, int log2dataN,
|
||||
int log2kernelN) {
|
||||
const int dataN = 1 << log2dataN;
|
||||
const int kernelN = 1 << log2kernelN;
|
||||
|
||||
for (int i = 0; i < dataN; i++) {
|
||||
double sum = 0;
|
||||
|
||||
for (int j = 0; j < kernelN; j++) sum += h_Data[i ^ j] * h_Kernel[j];
|
||||
|
||||
h_Result[i] = (float)sum;
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,185 @@
|
||||
/* 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 FWT_KERNEL_CUH
|
||||
#define FWT_KERNEL_CUH
|
||||
#ifndef fwt_kernel_cuh
|
||||
#define fwt_kernel_cuh
|
||||
|
||||
#include <cooperative_groups.h>
|
||||
|
||||
namespace cg = cooperative_groups;
|
||||
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
// Elementary(for vectors less than elementary size) in-shared memory
|
||||
// combined radix-2 + radix-4 Fast Walsh Transform
|
||||
///////////////////////////////////////////////////////////////////////////////
|
||||
#define ELEMENTARY_LOG2SIZE 11
|
||||
|
||||
__global__ void fwtBatch1Kernel(float *d_Output, float *d_Input, int log2N) {
|
||||
// Handle to thread block group
|
||||
cg::thread_block cta = cg::this_thread_block();
|
||||
const int N = 1 << log2N;
|
||||
const int base = blockIdx.x << log2N;
|
||||
|
||||
//(2 ** 11) * 4 bytes == 8KB -- maximum s_data[] size for G80
|
||||
extern __shared__ float s_data[];
|
||||
float *d_Src = d_Input + base;
|
||||
float *d_Dst = d_Output + base;
|
||||
|
||||
for (int pos = threadIdx.x; pos < N; pos += blockDim.x) {
|
||||
s_data[pos] = d_Src[pos];
|
||||
}
|
||||
|
||||
// Main radix-4 stages
|
||||
const int pos = threadIdx.x;
|
||||
|
||||
for (int stride = N >> 2; stride > 0; stride >>= 2) {
|
||||
int lo = pos & (stride - 1);
|
||||
int i0 = ((pos - lo) << 2) + lo;
|
||||
int i1 = i0 + stride;
|
||||
int i2 = i1 + stride;
|
||||
int i3 = i2 + stride;
|
||||
|
||||
cg::sync(cta);
|
||||
float D0 = s_data[i0];
|
||||
float D1 = s_data[i1];
|
||||
float D2 = s_data[i2];
|
||||
float D3 = s_data[i3];
|
||||
|
||||
float T;
|
||||
T = D0;
|
||||
D0 = D0 + D2;
|
||||
D2 = T - D2;
|
||||
T = D1;
|
||||
D1 = D1 + D3;
|
||||
D3 = T - D3;
|
||||
T = D0;
|
||||
s_data[i0] = D0 + D1;
|
||||
s_data[i1] = T - D1;
|
||||
T = D2;
|
||||
s_data[i2] = D2 + D3;
|
||||
s_data[i3] = T - D3;
|
||||
}
|
||||
|
||||
// Do single radix-2 stage for odd power of two
|
||||
if (log2N & 1) {
|
||||
cg::sync(cta);
|
||||
|
||||
for (int pos = threadIdx.x; pos < N / 2; pos += blockDim.x) {
|
||||
int i0 = pos << 1;
|
||||
int i1 = i0 + 1;
|
||||
|
||||
float D0 = s_data[i0];
|
||||
float D1 = s_data[i1];
|
||||
s_data[i0] = D0 + D1;
|
||||
s_data[i1] = D0 - D1;
|
||||
}
|
||||
}
|
||||
|
||||
cg::sync(cta);
|
||||
|
||||
for (int pos = threadIdx.x; pos < N; pos += blockDim.x) {
|
||||
d_Dst[pos] = s_data[pos];
|
||||
}
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Single in-global memory radix-4 Fast Walsh Transform pass
|
||||
// (for strides exceeding elementary vector size)
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
__global__ void fwtBatch2Kernel(float *d_Output, float *d_Input, int stride) {
|
||||
const int pos = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
const int N = blockDim.x * gridDim.x * 4;
|
||||
|
||||
float *d_Src = d_Input + blockIdx.y * N;
|
||||
float *d_Dst = d_Output + blockIdx.y * N;
|
||||
|
||||
int lo = pos & (stride - 1);
|
||||
int i0 = ((pos - lo) << 2) + lo;
|
||||
int i1 = i0 + stride;
|
||||
int i2 = i1 + stride;
|
||||
int i3 = i2 + stride;
|
||||
|
||||
float D0 = d_Src[i0];
|
||||
float D1 = d_Src[i1];
|
||||
float D2 = d_Src[i2];
|
||||
float D3 = d_Src[i3];
|
||||
|
||||
float T;
|
||||
T = D0;
|
||||
D0 = D0 + D2;
|
||||
D2 = T - D2;
|
||||
T = D1;
|
||||
D1 = D1 + D3;
|
||||
D3 = T - D3;
|
||||
T = D0;
|
||||
d_Dst[i0] = D0 + D1;
|
||||
d_Dst[i1] = T - D1;
|
||||
T = D2;
|
||||
d_Dst[i2] = D2 + D3;
|
||||
d_Dst[i3] = T - D3;
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Put everything together: batched Fast Walsh Transform CPU front-end
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
void fwtBatchGPU(float *d_Data, int M, int log2N) {
|
||||
const int THREAD_N = 256;
|
||||
|
||||
int N = 1 << log2N;
|
||||
dim3 grid((1 << log2N) / (4 * THREAD_N), M, 1);
|
||||
|
||||
for (; log2N > ELEMENTARY_LOG2SIZE; log2N -= 2, N >>= 2, M <<= 2) {
|
||||
fwtBatch2Kernel<<<grid, THREAD_N>>>(d_Data, d_Data, N / 4);
|
||||
getLastCudaError("fwtBatch2Kernel() execution failed\n");
|
||||
}
|
||||
|
||||
fwtBatch1Kernel<<<M, N / 4, N * sizeof(float)>>>(d_Data, d_Data, log2N);
|
||||
getLastCudaError("fwtBatch1Kernel() execution failed\n");
|
||||
}
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
// Modulate two arrays
|
||||
////////////////////////////////////////////////////////////////////////////////
|
||||
__global__ void modulateKernel(float *d_A, float *d_B, int N) {
|
||||
int tid = blockIdx.x * blockDim.x + threadIdx.x;
|
||||
int numThreads = blockDim.x * gridDim.x;
|
||||
float rcpN = 1.0f / (float)N;
|
||||
|
||||
for (int pos = tid; pos < N; pos += numThreads) {
|
||||
d_A[pos] *= d_B[pos] * rcpN;
|
||||
}
|
||||
}
|
||||
|
||||
// Interface to modulateKernel()
|
||||
void modulateGPU(float *d_A, float *d_B, int N) {
|
||||
modulateKernel<<<128, 256>>>(d_A, d_B, N);
|
||||
}
|
||||
|
||||
#endif
|
||||
#endif
|
||||
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio 2017
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Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "fastWalshTransform", "fastWalshTransform_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
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||||
Release|x64 = Release|x64
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||||
EndGlobalSection
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GlobalSection(ProjectConfigurationPlatforms) = postSolution
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
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EndGlobalSection
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EndGlobal
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<LatestTargetPlatformVersion>$([Microsoft.Build.Utilities.ToolLocationHelper]::GetLatestSDKTargetPlatformVersion('Windows', '10.0'))</LatestTargetPlatformVersion>
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<WindowsTargetPlatformVersion Condition="'$(WindowsTargetPlatformVersion)' == ''">$(LatestTargetPlatformVersion)</WindowsTargetPlatformVersion>
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<TargetPlatformVersion>$(WindowsTargetPlatformVersion)</TargetPlatformVersion>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
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<PropertyGroup>
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<ConfigurationType>Application</ConfigurationType>
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<CharacterSet>MultiByte</CharacterSet>
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<PropertyGroup Condition="'$(Configuration)'=='Debug'">
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<UseDebugLibraries>true</UseDebugLibraries>
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</PropertyGroup>
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<PropertyGroup Condition="'$(Configuration)'=='Release'">
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<WholeProgramOptimization>true</WholeProgramOptimization>
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</PropertyGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<ImportGroup Label="ExtensionSettings">
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<Import Project="$(CUDAPropsPath)\CUDA 11.6.props" />
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</ImportGroup>
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<ImportGroup Label="PropertySheets">
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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</ImportGroup>
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||||
<PropertyGroup Label="UserMacros" />
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<PropertyGroup>
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||||
<IntDir>$(Platform)/$(Configuration)/</IntDir>
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||||
<IncludePath>$(IncludePath)</IncludePath>
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<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
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||||
<CodeAnalysisRules />
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||||
<CodeAnalysisRuleAssemblies />
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</PropertyGroup>
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<PropertyGroup Condition="'$(Platform)'=='x64'">
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||||
<OutDir>../../../bin/win64/$(Configuration)/</OutDir>
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<ItemDefinitionGroup>
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<ClCompile>
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<WarningLevel>Level3</WarningLevel>
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<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
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<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;</AdditionalIncludeDirectories>
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</ClCompile>
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<Link>
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<SubSystem>Console</SubSystem>
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<AdditionalDependencies>cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
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||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
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<OutputFile>$(OutDir)/fastWalshTransform.exe</OutputFile>
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</Link>
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<CudaCompile>
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
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<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
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<Include>./;../../../Common</Include>
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<Defines>WIN32</Defines>
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemDefinitionGroup Condition="'$(Configuration)'=='Debug'">
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<ClCompile>
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<Optimization>Disabled</Optimization>
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<RuntimeLibrary>MultiThreadedDebug</RuntimeLibrary>
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</ClCompile>
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<Link>
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<GenerateDebugInformation>true</GenerateDebugInformation>
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<LinkTimeCodeGeneration>Default</LinkTimeCodeGeneration>
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</Link>
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<CudaCompile>
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<Runtime>MTd</Runtime>
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<TargetMachinePlatform>64</TargetMachinePlatform>
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemDefinitionGroup Condition="'$(Configuration)'=='Release'">
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<ClCompile>
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<Optimization>MaxSpeed</Optimization>
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<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
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<Link>
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<GenerateDebugInformation>false</GenerateDebugInformation>
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<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
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</Link>
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<CudaCompile>
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||||
<Runtime>MT</Runtime>
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<TargetMachinePlatform>64</TargetMachinePlatform>
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||||
</CudaCompile>
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</ItemDefinitionGroup>
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<ItemGroup>
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<CudaCompile Include="fastWalshTransform.cu" />
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<ClCompile Include="fastWalshTransform_gold.cpp" />
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<None Include="fastWalshTransform_kernel.cuh" />
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@@ -0,0 +1,20 @@
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||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2019
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "fastWalshTransform", "fastWalshTransform_vs2019.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|x64 = Debug|x64
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Release|x64 = Release|x64
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EndGlobalSection
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GlobalSection(ProjectConfigurationPlatforms) = postSolution
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
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EndGlobalSection
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HideSolutionNode = FALSE
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EndGlobalSection
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EndGlobal
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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<PropertyGroup>
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<IntDir>$(Platform)/$(Configuration)/</IntDir>
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<CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
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<CodeAnalysisRuleAssemblies />
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<ClCompile>
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<WarningLevel>Level3</WarningLevel>
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<Link>
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<CudaCompile>
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||||
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<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
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||||
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||||
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|
||||
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|
||||
<Optimization>MaxSpeed</Optimization>
|
||||
<RuntimeLibrary>MultiThreaded</RuntimeLibrary>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<GenerateDebugInformation>false</GenerateDebugInformation>
|
||||
<LinkTimeCodeGeneration>UseLinkTimeCodeGeneration</LinkTimeCodeGeneration>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<Runtime>MT</Runtime>
|
||||
<TargetMachinePlatform>64</TargetMachinePlatform>
|
||||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<CudaCompile Include="fastWalshTransform.cu" />
|
||||
<ClCompile Include="fastWalshTransform_gold.cpp" />
|
||||
<None Include="fastWalshTransform_kernel.cuh" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
@@ -0,0 +1,20 @@
|
||||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2022
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "fastWalshTransform", "fastWalshTransform_vs2022.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
Debug|x64 = Debug|x64
|
||||
Release|x64 = Release|x64
|
||||
EndGlobalSection
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||||
GlobalSection(ProjectConfigurationPlatforms) = postSolution
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{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.ActiveCfg = Debug|x64
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||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Debug|x64.Build.0 = Debug|x64
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||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.ActiveCfg = Release|x64
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||||
{997E0757-EA74-4A4E-A0FC-47D8C8831A15}.Release|x64.Build.0 = Release|x64
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||||
EndGlobalSection
|
||||
GlobalSection(SolutionProperties) = preSolution
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||||
HideSolutionNode = FALSE
|
||||
EndGlobalSection
|
||||
EndGlobal
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@@ -0,0 +1,109 @@
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||||
<?xml version="1.0" encoding="utf-8"?>
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<Project DefaultTargets="Build" ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
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||||
<PropertyGroup>
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||||
<CUDAPropsPath Condition="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath>
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||||
</PropertyGroup>
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<ItemGroup Label="ProjectConfigurations">
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||||
<ProjectConfiguration Include="Debug|x64">
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||||
<Configuration>Debug</Configuration>
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||||
<Platform>x64</Platform>
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||||
</ProjectConfiguration>
|
||||
<ProjectConfiguration Include="Release|x64">
|
||||
<Configuration>Release</Configuration>
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||||
<Platform>x64</Platform>
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||||
</ProjectConfiguration>
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||||
</ItemGroup>
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||||
<PropertyGroup Label="Globals">
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<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
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||||
<RootNamespace>fastWalshTransform_vs2022</RootNamespace>
|
||||
<ProjectName>fastWalshTransform</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(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)/fastWalshTransform.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="fastWalshTransform.cu" />
|
||||
<ClCompile Include="fastWalshTransform_gold.cpp" />
|
||||
<None Include="fastWalshTransform_kernel.cuh" />
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
Reference in New Issue
Block a user