mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2025-04-21 23:31:23 +01:00
Remove cppOverload
This commit is contained in:
Rob Armstrong
parent
9d8f61431e
commit
8e03cbfcf9
@ -6,6 +6,7 @@
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* `c++11_cuda` demonstrating CUDA and C++ 11 interoperability (reason: obsolete)
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* `c++11_cuda` demonstrating CUDA and C++ 11 interoperability (reason: obsolete)
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* `concurrentKernels` demonstrating the ability to run multiple kernels simultaneously (reason: obsolete)
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* `concurrentKernels` demonstrating the ability to run multiple kernels simultaneously (reason: obsolete)
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* `cppIntegration` demonstrating calling between .cu and .cpp files (reason: obsolete)
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* `cppIntegration` demonstrating calling between .cu and .cpp files (reason: obsolete)
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* `cppOverload` demonstrating C++ function overloading (reason: obsolete)
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### CUDA 12.5
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### CUDA 12.5
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@ -1,18 +0,0 @@
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{
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"configurations": [
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{
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"name": "Linux",
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"includePath": [
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"${workspaceFolder}/**",
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"${workspaceFolder}/../../../Common"
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],
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"defines": [],
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"compilerPath": "/usr/local/cuda/bin/nvcc",
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"cStandard": "gnu17",
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"cppStandard": "gnu++14",
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"intelliSenseMode": "linux-gcc-x64",
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"configurationProvider": "ms-vscode.makefile-tools"
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}
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],
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"version": 4
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}
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@ -1,7 +0,0 @@
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{
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"recommendations": [
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"nvidia.nsight-vscode-edition",
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"ms-vscode.cpptools",
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"ms-vscode.makefile-tools"
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]
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}
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@ -1,10 +0,0 @@
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{
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"configurations": [
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{
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"name": "CUDA C++: Launch",
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"type": "cuda-gdb",
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"request": "launch",
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"program": "${workspaceFolder}/cppOverload"
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}
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]
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}
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@ -1,15 +0,0 @@
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{
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"version": "2.0.0",
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"tasks": [
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{
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"label": "sample",
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"type": "shell",
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"command": "make dbg=1",
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"problemMatcher": ["$nvcc"],
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"group": {
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"kind": "build",
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"isDefault": true
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}
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}
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]
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}
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@ -1,357 +0,0 @@
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################################################################################
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# Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
|
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
|
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# documentation and/or other materials provided with the distribution.
|
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# * Neither the name of NVIDIA CORPORATION nor the names of its
|
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# contributors may be used to endorse or promote products derived
|
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# from this software without specific prior written permission.
|
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
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# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
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# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
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# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
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# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
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# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
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# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
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#
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################################################################################
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#
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# Makefile project only supported on Mac OS X and Linux Platforms)
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#
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################################################################################
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# Location of the CUDA Toolkit
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CUDA_PATH ?= /usr/local/cuda
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##############################
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# start deprecated interface #
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##############################
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ifeq ($(x86_64),1)
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$(info WARNING - x86_64 variable has been deprecated)
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$(info WARNING - please use TARGET_ARCH=x86_64 instead)
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TARGET_ARCH ?= x86_64
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endif
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ifeq ($(ARMv7),1)
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$(info WARNING - ARMv7 variable has been deprecated)
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$(info WARNING - please use TARGET_ARCH=armv7l instead)
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TARGET_ARCH ?= armv7l
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endif
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ifeq ($(aarch64),1)
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$(info WARNING - aarch64 variable has been deprecated)
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$(info WARNING - please use TARGET_ARCH=aarch64 instead)
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TARGET_ARCH ?= aarch64
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endif
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ifeq ($(ppc64le),1)
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$(info WARNING - ppc64le variable has been deprecated)
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$(info WARNING - please use TARGET_ARCH=ppc64le instead)
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TARGET_ARCH ?= ppc64le
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endif
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ifneq ($(GCC),)
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$(info WARNING - GCC variable has been deprecated)
|
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||||||
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
|
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HOST_COMPILER ?= $(GCC)
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endif
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ifneq ($(abi),)
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$(error ERROR - abi variable has been removed)
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endif
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############################
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# end deprecated interface #
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############################
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# architecture
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HOST_ARCH := $(shell uname -m)
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TARGET_ARCH ?= $(HOST_ARCH)
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ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le armv7l))
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ifneq ($(TARGET_ARCH),$(HOST_ARCH))
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ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le))
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TARGET_SIZE := 64
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else ifneq (,$(filter $(TARGET_ARCH),armv7l))
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TARGET_SIZE := 32
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endif
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else
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TARGET_SIZE := $(shell getconf LONG_BIT)
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endif
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else
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$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
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endif
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# sbsa and aarch64 systems look similar. Need to differentiate them at host level for now.
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ifeq ($(HOST_ARCH),aarch64)
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ifeq ($(CUDA_PATH)/targets/sbsa-linux,$(shell ls -1d $(CUDA_PATH)/targets/sbsa-linux 2>/dev/null))
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HOST_ARCH := sbsa
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TARGET_ARCH := sbsa
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endif
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endif
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ifneq ($(TARGET_ARCH),$(HOST_ARCH))
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ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-sbsa x86_64-ppc64le))
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$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
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endif
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endif
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# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
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ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
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TARGET_ARCH = armv7l
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endif
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# operating system
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HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
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TARGET_OS ?= $(HOST_OS)
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ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
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$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
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endif
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# host compiler
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ifdef HOST_COMPILER
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CUSTOM_HOST_COMPILER = 1
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endif
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ifeq ($(TARGET_OS),darwin)
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ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
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HOST_COMPILER ?= clang++
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endif
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else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
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ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
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ifeq ($(TARGET_OS),linux)
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HOST_COMPILER ?= arm-linux-gnueabihf-g++
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else ifeq ($(TARGET_OS),qnx)
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ifeq ($(QNX_HOST),)
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$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
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endif
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ifeq ($(QNX_TARGET),)
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$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
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endif
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export QNX_HOST
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export QNX_TARGET
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HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
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else ifeq ($(TARGET_OS),android)
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HOST_COMPILER ?= arm-linux-androideabi-g++
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endif
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else ifeq ($(TARGET_ARCH),aarch64)
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ifeq ($(TARGET_OS), linux)
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HOST_COMPILER ?= aarch64-linux-gnu-g++
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else ifeq ($(TARGET_OS),qnx)
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ifeq ($(QNX_HOST),)
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$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
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endif
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ifeq ($(QNX_TARGET),)
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$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
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endif
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export QNX_HOST
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export QNX_TARGET
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HOST_COMPILER ?= $(QNX_HOST)/usr/bin/q++
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else ifeq ($(TARGET_OS), android)
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HOST_COMPILER ?= aarch64-linux-android-clang++
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endif
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else ifeq ($(TARGET_ARCH),sbsa)
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HOST_COMPILER ?= aarch64-linux-gnu-g++
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else ifeq ($(TARGET_ARCH),ppc64le)
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HOST_COMPILER ?= powerpc64le-linux-gnu-g++
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endif
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endif
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HOST_COMPILER ?= g++
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NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
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# internal flags
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NVCCFLAGS := -m${TARGET_SIZE}
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CCFLAGS :=
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LDFLAGS :=
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# build flags
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# Link flag for customized HOST_COMPILER with gcc realpath
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GCC_PATH := $(shell which gcc)
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ifeq ($(CUSTOM_HOST_COMPILER),1)
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ifneq ($(filter /%,$(HOST_COMPILER)),)
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ifneq ($(findstring gcc,$(HOST_COMPILER)),)
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ifneq ($(GCC_PATH),$(HOST_COMPILER))
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LDFLAGS += -lstdc++
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endif
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endif
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endif
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endif
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ifeq ($(TARGET_OS),darwin)
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LDFLAGS += -rpath $(CUDA_PATH)/lib
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CCFLAGS += -arch $(HOST_ARCH)
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else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
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LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
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CCFLAGS += -mfloat-abi=hard
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else ifeq ($(TARGET_OS),android)
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LDFLAGS += -pie
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CCFLAGS += -fpie -fpic -fexceptions
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endif
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ifneq ($(TARGET_ARCH),$(HOST_ARCH))
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ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
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ifneq ($(TARGET_FS),)
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GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
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ifeq ($(GCCVERSIONLTEQ46),1)
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CCFLAGS += --sysroot=$(TARGET_FS)
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endif
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LDFLAGS += --sysroot=$(TARGET_FS)
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LDFLAGS += -rpath-link=$(TARGET_FS)/lib
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LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
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LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
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endif
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||||||
endif
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ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
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ifneq ($(TARGET_FS),)
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GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
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ifeq ($(GCCVERSIONLTEQ46),1)
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CCFLAGS += --sysroot=$(TARGET_FS)
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||||||
endif
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LDFLAGS += --sysroot=$(TARGET_FS)
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LDFLAGS += -rpath-link=$(TARGET_FS)/lib -L$(TARGET_FS)/lib
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LDFLAGS += -rpath-link=$(TARGET_FS)/lib/aarch64-linux-gnu -L$(TARGET_FS)/lib/aarch64-linux-gnu
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LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib -L$(TARGET_FS)/usr/lib
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LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/aarch64-linux-gnu -L$(TARGET_FS)/usr/lib/aarch64-linux-gnu
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LDFLAGS += --unresolved-symbols=ignore-in-shared-libs
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||||||
CCFLAGS += -isystem=$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include/libdrm
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|
||||||
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu -I$(TARGET_FS)/usr/include/aarch64-linux-gnu
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|
||||||
endif
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|
||||||
endif
|
|
||||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
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||||||
NVCCFLAGS += -D_QNX_SOURCE
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||||||
NVCCFLAGS += --qpp-config 8.3.0,gcc_ntoaarch64le
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||||||
CCFLAGS += -DWIN_INTERFACE_CUSTOM -I/usr/include/aarch64-qnx-gnu
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|
||||||
LDFLAGS += -lsocket
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|
||||||
LDFLAGS += -L/usr/lib/aarch64-qnx-gnu
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|
||||||
CCFLAGS += "-Wl\,-rpath-link\,/usr/lib/aarch64-qnx-gnu"
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|
||||||
ifdef TARGET_OVERRIDE
|
|
||||||
LDFLAGS += -lslog2
|
|
||||||
endif
|
|
||||||
|
|
||||||
ifneq ($(TARGET_FS),)
|
|
||||||
LDFLAGS += -L$(TARGET_FS)/usr/lib
|
|
||||||
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/lib"
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|
||||||
LDFLAGS += -L$(TARGET_FS)/usr/libnvidia
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|
||||||
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/libnvidia"
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|
||||||
CCFLAGS += -I$(TARGET_FS)/../include
|
|
||||||
endif
|
|
||||||
endif
|
|
||||||
endif
|
|
||||||
|
|
||||||
ifdef TARGET_OVERRIDE # cuda toolkit targets override
|
|
||||||
NVCCFLAGS += -target-dir $(TARGET_OVERRIDE)
|
|
||||||
endif
|
|
||||||
|
|
||||||
# Install directory of different arch
|
|
||||||
CUDA_INSTALL_TARGET_DIR :=
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|
||||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
|
|
||||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-gnueabihf/
|
|
||||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
|
|
||||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux/
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|
||||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),sbsa-linux)
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||||||
CUDA_INSTALL_TARGET_DIR = targets/sbsa-linux/
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|
||||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
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|
||||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-androideabi/
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|
||||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
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||||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux-androideabi/
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else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
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||||||
CUDA_INSTALL_TARGET_DIR = targets/ARMv7-linux-QNX/
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|
||||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
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|
||||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-qnx/
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|
||||||
else ifeq ($(TARGET_ARCH),ppc64le)
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|
||||||
CUDA_INSTALL_TARGET_DIR = targets/ppc64le-linux/
|
|
||||||
endif
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|
||||||
|
|
||||||
# Debug build flags
|
|
||||||
ifeq ($(dbg),1)
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|
||||||
NVCCFLAGS += -g -G
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|
||||||
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 $(TARGET_ARCH),armv7l aarch64 sbsa))
|
|
||||||
SMS ?= 53 61 70 72 75 80 86 87 90
|
|
||||||
else
|
|
||||||
SMS ?= 50 52 60 61 70 75 80 86 89 90
|
|
||||||
endif
|
|
||||||
|
|
||||||
ifeq ($(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 ($(SAMPLE_ENABLED),0)
|
|
||||||
EXEC ?= @echo "[@]"
|
|
||||||
endif
|
|
||||||
|
|
||||||
################################################################################
|
|
||||||
|
|
||||||
# Target rules
|
|
||||||
all: build
|
|
||||||
|
|
||||||
build: cppOverload
|
|
||||||
|
|
||||||
check.deps:
|
|
||||||
ifeq ($(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
|
|
||||||
|
|
||||||
cppOverload.o:cppOverload.cu
|
|
||||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
|
||||||
|
|
||||||
cppOverload: cppOverload.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
|
|
||||||
$(EXEC) ./cppOverload
|
|
||||||
|
|
||||||
testrun: build
|
|
||||||
|
|
||||||
clean:
|
|
||||||
rm -f cppOverload cppOverload.o
|
|
||||||
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/cppOverload
|
|
||||||
|
|
||||||
clobber: clean
|
|
||||||
@ -1,83 +0,0 @@
|
|||||||
<?xml version="1.0" encoding="UTF-8"?>
|
|
||||||
<!DOCTYPE entry SYSTEM "SamplesInfo.dtd">
|
|
||||||
<entry>
|
|
||||||
<name>cppOverload</name>
|
|
||||||
<cuda_api_list>
|
|
||||||
<toolkit>cudaMemcpy</toolkit>
|
|
||||||
<toolkit>cudaFuncSetCacheConfig</toolkit>
|
|
||||||
<toolkit>cudaFree</toolkit>
|
|
||||||
<toolkit>cudaMallocHost</toolkit>
|
|
||||||
<toolkit>cudaSetDevice</toolkit>
|
|
||||||
<toolkit>cudaGetDeviceProperties</toolkit>
|
|
||||||
<toolkit>cudaDeviceSynchronize</toolkit>
|
|
||||||
<toolkit>cudaFreeHost</toolkit>
|
|
||||||
<toolkit>cudaMalloc</toolkit>
|
|
||||||
<toolkit>cudaFuncGetAttributes</toolkit>
|
|
||||||
<toolkit>cudaGetDeviceCount</toolkit>
|
|
||||||
</cuda_api_list>
|
|
||||||
<description><![CDATA[This sample demonstrates how to use C++ function overloading on the GPU.]]></description>
|
|
||||||
<devicecompilation>whole</devicecompilation>
|
|
||||||
<includepaths>
|
|
||||||
<path>./</path>
|
|
||||||
<path>../</path>
|
|
||||||
<path>../../../Common</path>
|
|
||||||
</includepaths>
|
|
||||||
<keyconcepts>
|
|
||||||
<concept level="basic">C++ Function Overloading</concept>
|
|
||||||
<concept level="basic">CUDA Streams and Events</concept>
|
|
||||||
</keyconcepts>
|
|
||||||
<keywords>
|
|
||||||
<keyword>GPGPU</keyword>
|
|
||||||
</keywords>
|
|
||||||
<libraries>
|
|
||||||
</libraries>
|
|
||||||
<librarypaths>
|
|
||||||
</librarypaths>
|
|
||||||
<nsight_eclipse>true</nsight_eclipse>
|
|
||||||
<primary_file>cppOverload_kernel.cu</primary_file>
|
|
||||||
<scopes>
|
|
||||||
<scope>1:CUDA Basic Topics</scope>
|
|
||||||
<scope>1:Performance Strategies</scope>
|
|
||||||
</scopes>
|
|
||||||
<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>
|
|
||||||
<sm-arch>sm89</sm-arch>
|
|
||||||
<sm-arch>sm90</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>cppOverload</title>
|
|
||||||
<type>exe</type>
|
|
||||||
</entry>
|
|
||||||
@ -1,70 +0,0 @@
|
|||||||
# cppOverload - cppOverload
|
|
||||||
|
|
||||||
## Description
|
|
||||||
|
|
||||||
This sample demonstrates how to use C++ function overloading on the GPU.
|
|
||||||
|
|
||||||
## Key Concepts
|
|
||||||
|
|
||||||
C++ Function Overloading, CUDA Streams and Events
|
|
||||||
|
|
||||||
## Supported SM Architectures
|
|
||||||
|
|
||||||
[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) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](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)
|
|
||||||
cudaMemcpy, cudaFuncSetCacheConfig, cudaFree, cudaMallocHost, cudaSetDevice, cudaGetDeviceProperties, cudaDeviceSynchronize, cudaFreeHost, cudaMalloc, cudaFuncGetAttributes, cudaGetDeviceCount
|
|
||||||
|
|
||||||
## Prerequisites
|
|
||||||
|
|
||||||
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
|
|
||||||
|
|
||||||
## Build and Run
|
|
||||||
|
|
||||||
### Windows
|
|
||||||
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
|
|
||||||
```
|
|
||||||
*_vs<version>.sln - for Visual Studio <version>
|
|
||||||
```
|
|
||||||
Each individual sample has its own set of solution files in its directory:
|
|
||||||
|
|
||||||
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
|
|
||||||
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
|
|
||||||
|
|
||||||
### Linux
|
|
||||||
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
|
|
||||||
```
|
|
||||||
$ cd <sample_dir>
|
|
||||||
$ make
|
|
||||||
```
|
|
||||||
The samples makefiles can take advantage of certain options:
|
|
||||||
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
|
|
||||||
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
|
|
||||||
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
|
|
||||||
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
|
|
||||||
* **dbg=1** - build with debug symbols
|
|
||||||
```
|
|
||||||
$ make dbg=1
|
|
||||||
```
|
|
||||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
|
|
||||||
```
|
|
||||||
$ make SMS="50 60"
|
|
||||||
```
|
|
||||||
|
|
||||||
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
|
|
||||||
```
|
|
||||||
$ make HOST_COMPILER=g++
|
|
||||||
```
|
|
||||||
|
|
||||||
## References (for more details)
|
|
||||||
|
|
||||||
@ -1,188 +0,0 @@
|
|||||||
/* 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.
|
|
||||||
*/
|
|
||||||
|
|
||||||
#define THREAD_N 256
|
|
||||||
#define N 1024
|
|
||||||
#define DIV_UP(a, b) (((a) + (b) - 1) / (b))
|
|
||||||
|
|
||||||
// Includes, system
|
|
||||||
#include <stdio.h>
|
|
||||||
#include <helper_cuda.h>
|
|
||||||
#include <helper_string.h>
|
|
||||||
#include <helper_math.h>
|
|
||||||
#include "cppOverload_kernel.cuh"
|
|
||||||
|
|
||||||
const char *sampleName = "C++ Function Overloading";
|
|
||||||
|
|
||||||
#define OUTPUT_ATTR(attr) \
|
|
||||||
printf("Shared Size: %d\n", (int)attr.sharedSizeBytes); \
|
|
||||||
printf("Constant Size: %d\n", (int)attr.constSizeBytes); \
|
|
||||||
printf("Local Size: %d\n", (int)attr.localSizeBytes); \
|
|
||||||
printf("Max Threads Per Block: %d\n", attr.maxThreadsPerBlock); \
|
|
||||||
printf("Number of Registers: %d\n", attr.numRegs); \
|
|
||||||
printf("PTX Version: %d\n", attr.ptxVersion); \
|
|
||||||
printf("Binary Version: %d\n", attr.binaryVersion);
|
|
||||||
|
|
||||||
bool check_func1(int *hInput, int *hOutput, int a) {
|
|
||||||
for (int i = 0; i < N; ++i) {
|
|
||||||
int cpuRes = hInput[i] * a + i;
|
|
||||||
|
|
||||||
if (hOutput[i] != cpuRes) {
|
|
||||||
return false;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
|
|
||||||
bool check_func2(int2 *hInput, int *hOutput, int a) {
|
|
||||||
for (int i = 0; i < N; i++) {
|
|
||||||
int cpuRes = (hInput[i].x + hInput[i].y) * a + i;
|
|
||||||
|
|
||||||
if (hOutput[i] != cpuRes) {
|
|
||||||
return false;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
|
|
||||||
bool check_func3(int *hInput1, int *hInput2, int *hOutput, int a) {
|
|
||||||
for (int i = 0; i < N; i++) {
|
|
||||||
if (hOutput[i] != (hInput1[i] + hInput2[i]) * a + i) {
|
|
||||||
return false;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
|
|
||||||
int main(int argc, const char *argv[]) {
|
|
||||||
int *hInput = NULL;
|
|
||||||
int *hOutput = NULL;
|
|
||||||
int *dInput = NULL;
|
|
||||||
int *dOutput = NULL;
|
|
||||||
|
|
||||||
printf("%s starting...\n", sampleName);
|
|
||||||
|
|
||||||
int deviceCount;
|
|
||||||
checkCudaErrors(cudaGetDeviceCount(&deviceCount));
|
|
||||||
printf("Device Count: %d\n", deviceCount);
|
|
||||||
|
|
||||||
int deviceID = findCudaDevice(argc, argv);
|
|
||||||
cudaDeviceProp prop;
|
|
||||||
checkCudaErrors(cudaGetDeviceProperties(&prop, deviceID));
|
|
||||||
if (prop.major < 2) {
|
|
||||||
printf(
|
|
||||||
"ERROR: cppOverload requires GPU devices with compute SM 2.0 or "
|
|
||||||
"higher.\n");
|
|
||||||
printf("Current GPU device has compute SM%d.%d, Exiting...", prop.major,
|
|
||||||
prop.minor);
|
|
||||||
exit(EXIT_WAIVED);
|
|
||||||
}
|
|
||||||
|
|
||||||
checkCudaErrors(cudaSetDevice(deviceID));
|
|
||||||
|
|
||||||
// Allocate device memory
|
|
||||||
checkCudaErrors(cudaMalloc(&dInput, sizeof(int) * N * 2));
|
|
||||||
checkCudaErrors(cudaMalloc(&dOutput, sizeof(int) * N));
|
|
||||||
|
|
||||||
// Allocate host memory
|
|
||||||
checkCudaErrors(cudaMallocHost(&hInput, sizeof(int) * N * 2));
|
|
||||||
checkCudaErrors(cudaMallocHost(&hOutput, sizeof(int) * N));
|
|
||||||
|
|
||||||
for (int i = 0; i < N * 2; i++) {
|
|
||||||
hInput[i] = i;
|
|
||||||
}
|
|
||||||
|
|
||||||
// Copy data from host to device
|
|
||||||
checkCudaErrors(
|
|
||||||
cudaMemcpy(dInput, hInput, sizeof(int) * N * 2, cudaMemcpyHostToDevice));
|
|
||||||
|
|
||||||
// Test C++ overloading
|
|
||||||
bool testResult = true;
|
|
||||||
bool funcResult = true;
|
|
||||||
int a = 1;
|
|
||||||
|
|
||||||
void (*func1)(const int *, int *, int);
|
|
||||||
void (*func2)(const int2 *, int *, int);
|
|
||||||
void (*func3)(const int *, const int *, int *, int);
|
|
||||||
struct cudaFuncAttributes attr;
|
|
||||||
|
|
||||||
// overload function 1
|
|
||||||
func1 = simple_kernel;
|
|
||||||
memset(&attr, 0, sizeof(attr));
|
|
||||||
checkCudaErrors(cudaFuncSetCacheConfig(*func1, cudaFuncCachePreferShared));
|
|
||||||
checkCudaErrors(cudaFuncGetAttributes(&attr, *func1));
|
|
||||||
OUTPUT_ATTR(attr);
|
|
||||||
(*func1)<<<DIV_UP(N, THREAD_N), THREAD_N>>>(dInput, dOutput, a);
|
|
||||||
checkCudaErrors(
|
|
||||||
cudaMemcpy(hOutput, dOutput, sizeof(int) * N, cudaMemcpyDeviceToHost));
|
|
||||||
funcResult = check_func1(hInput, hOutput, a);
|
|
||||||
printf("simple_kernel(const int *pIn, int *pOut, int a) %s\n\n",
|
|
||||||
funcResult ? "PASSED" : "FAILED");
|
|
||||||
testResult &= funcResult;
|
|
||||||
|
|
||||||
// overload function 2
|
|
||||||
func2 = simple_kernel;
|
|
||||||
memset(&attr, 0, sizeof(attr));
|
|
||||||
checkCudaErrors(cudaFuncSetCacheConfig(*func2, cudaFuncCachePreferShared));
|
|
||||||
checkCudaErrors(cudaFuncGetAttributes(&attr, *func2));
|
|
||||||
OUTPUT_ATTR(attr);
|
|
||||||
(*func2)<<<DIV_UP(N, THREAD_N), THREAD_N>>>((int2 *)dInput, dOutput, a);
|
|
||||||
checkCudaErrors(
|
|
||||||
cudaMemcpy(hOutput, dOutput, sizeof(int) * N, cudaMemcpyDeviceToHost));
|
|
||||||
funcResult = check_func2(reinterpret_cast<int2 *>(hInput), hOutput, a);
|
|
||||||
printf("simple_kernel(const int2 *pIn, int *pOut, int a) %s\n\n",
|
|
||||||
funcResult ? "PASSED" : "FAILED");
|
|
||||||
testResult &= funcResult;
|
|
||||||
|
|
||||||
// overload function 3
|
|
||||||
func3 = simple_kernel;
|
|
||||||
memset(&attr, 0, sizeof(attr));
|
|
||||||
checkCudaErrors(cudaFuncSetCacheConfig(*func3, cudaFuncCachePreferShared));
|
|
||||||
checkCudaErrors(cudaFuncGetAttributes(&attr, *func3));
|
|
||||||
OUTPUT_ATTR(attr);
|
|
||||||
(*func3)<<<DIV_UP(N, THREAD_N), THREAD_N>>>(dInput, dInput + N, dOutput, a);
|
|
||||||
checkCudaErrors(
|
|
||||||
cudaMemcpy(hOutput, dOutput, sizeof(int) * N, cudaMemcpyDeviceToHost));
|
|
||||||
funcResult = check_func3(&hInput[0], &hInput[N], hOutput, a);
|
|
||||||
printf(
|
|
||||||
"simple_kernel(const int *pIn1, const int *pIn2, int *pOut, int a) "
|
|
||||||
"%s\n\n",
|
|
||||||
funcResult ? "PASSED" : "FAILED");
|
|
||||||
testResult &= funcResult;
|
|
||||||
|
|
||||||
checkCudaErrors(cudaFree(dInput));
|
|
||||||
checkCudaErrors(cudaFree(dOutput));
|
|
||||||
checkCudaErrors(cudaFreeHost(hOutput));
|
|
||||||
checkCudaErrors(cudaFreeHost(hInput));
|
|
||||||
|
|
||||||
checkCudaErrors(cudaDeviceSynchronize());
|
|
||||||
|
|
||||||
exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE);
|
|
||||||
}
|
|
||||||
@ -1,61 +0,0 @@
|
|||||||
/* 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.
|
|
||||||
*/
|
|
||||||
|
|
||||||
__global__ void simple_kernel(const int *pIn, int *pOut, int a) {
|
|
||||||
__shared__ int sData[THREAD_N];
|
|
||||||
int tid = threadIdx.x + blockDim.x * blockIdx.x;
|
|
||||||
|
|
||||||
sData[threadIdx.x] = pIn[tid];
|
|
||||||
__syncthreads();
|
|
||||||
|
|
||||||
pOut[tid] = sData[threadIdx.x] * a + tid;
|
|
||||||
;
|
|
||||||
}
|
|
||||||
|
|
||||||
__global__ void simple_kernel(const int2 *pIn, int *pOut, int a) {
|
|
||||||
__shared__ int2 sData[THREAD_N];
|
|
||||||
int tid = threadIdx.x + blockDim.x * blockIdx.x;
|
|
||||||
|
|
||||||
sData[threadIdx.x] = pIn[tid];
|
|
||||||
__syncthreads();
|
|
||||||
|
|
||||||
pOut[tid] = (sData[threadIdx.x].x + sData[threadIdx.x].y) * a + tid;
|
|
||||||
;
|
|
||||||
}
|
|
||||||
|
|
||||||
__global__ void simple_kernel(const int *pIn1, const int *pIn2, int *pOut,
|
|
||||||
int a) {
|
|
||||||
__shared__ int sData1[THREAD_N];
|
|
||||||
__shared__ int sData2[THREAD_N];
|
|
||||||
int tid = threadIdx.x + blockDim.x * blockIdx.x;
|
|
||||||
|
|
||||||
sData1[threadIdx.x] = pIn1[tid];
|
|
||||||
sData2[threadIdx.x] = pIn2[tid];
|
|
||||||
__syncthreads();
|
|
||||||
|
|
||||||
pOut[tid] = (sData1[threadIdx.x] + sData2[threadIdx.x]) * a + tid;
|
|
||||||
}
|
|
||||||
Loading…
x
Reference in New Issue
Block a user