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Update samples for CUDA 11.8 with correct props
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‎.gitignore

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.vscode/*

‎CHANGELOG.md

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## Changelog
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### CUDA 11.6
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* Added new folder structure for samples
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* Added support of Visual Studio 2022 to all samples supported on [Windows](#windows-1).
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* All CUDA samples are now only available on [GitHub](https://github.com/nvidia/cuda-samples). They are no longer available via CUDA toolkit.
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### CUDA 11.5
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* Added `cuDLAHybridMode`. Demonstrate usage of cuDLA in hybrid mode.
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* Added `cuDLAStandaloneMode`. Demonstrate usage of cuDLA in standalone mode.

‎Common/helper_cuda.h

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{0x80, 64},
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{0x86, 128},
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{0x87, 128},
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{0x90, 128},
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{-1, -1}};
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int index = 0;
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{0x75, "Turing"},
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{0x80, "Ampere"},
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{0x86, "Ampere"},
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{0x87, "Ampere"},
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{0x90, "Hopper"},
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{-1, "Graphics Device"}};
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int index = 0;

‎Common/helper_cuda_drvapi.h

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{0x80, 64},
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{0x86, 128},
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{0x87, 128},
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{0x90, 128},
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{-1, -1}};
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int index = 0;

‎README.md

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# CUDA Samples
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Samples for CUDA Developers which demonstrates features in CUDA Toolkit. This version supports [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads).
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Samples for CUDA Developers which demonstrates features in CUDA Toolkit. This version supports [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-downloads).
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## Release Notes
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This section describes the release notes for the CUDA Samples on GitHub only.
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### CUDA 11.6
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### CUDA 11.8
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* Added new folder structure for samples
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* Added support of Visual Studio 2022 to all samples supported on [Windows](#windows-1).
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* All CUDA samples are now only available on [GitHub](https://github.com/nvidia/cuda-samples). They are no longer available via CUDA toolkit.
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### Prerequisites
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Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Download and install the [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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For system requirements and installation instructions of cuda toolkit, please refer to the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/), and the [Windows Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html).
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### Getting the CUDA Samples
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## Attributions
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* Teapot image is obtained from [Wikimedia](https://en.wikipedia.org/wiki/File:Original_Utah_Teapot.jpg) and is licensed under the Creative Commons [Attribution-Share Alike 2.0](https://creativecommons.org/licenses/by-sa/2.0/deed.en) Generic license. The image is modified for samples use cases.
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* Teapot image is obtained from [Wikimedia](https://en.wikipedia.org/wiki/File:Original_Utah_Teapot.jpg) and is licensed under the Creative Commons [Attribution-Share Alike 2.0](https://creativecommons.org/licenses/by-sa/2.0/deed.en) Generic license. The image is modified for samples use cases.

‎Samples/0_Introduction/UnifiedMemoryStreams/Makefile

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# Gencode arguments
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ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64 sbsa))
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SMS ?= 53 61 70 72 75 80 86 87
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SMS ?= 53 61 70 72 75 80 86 87 90
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else
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SMS ?= 35 37 50 52 60 61 70 75 80 86
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SMS ?= 35 37 50 52 60 61 70 75 80 86 90
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endif
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ifeq ($(SMS),)

‎Samples/0_Introduction/UnifiedMemoryStreams/NsightEclipse.xml

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<toolkit>cudaStreamDestroy</toolkit>
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<toolkit>cudaFree</toolkit>
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<toolkit>cudaMallocManaged</toolkit>
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<toolkit>cudaStreamCreate</toolkit>
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<toolkit>cudaDeviceSynchronize</toolkit>
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<toolkit>cudaStreamAttachMemAsync</toolkit>
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<toolkit>cudaSetDevice</toolkit>
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<toolkit>cudaDeviceSynchronize</toolkit>
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<toolkit>cudaStreamSynchronize</toolkit>
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<toolkit>cudaStreamCreate</toolkit>
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<toolkit>cudaGetDeviceProperties</toolkit>
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</cuda_api_list>
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<description><![CDATA[This sample demonstrates the use of OpenMP and streams with Unified Memory on a single GPU.]]></description>
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<sm-arch>sm80</sm-arch>
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<sm-arch>sm86</sm-arch>
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<sm-arch>sm87</sm-arch>
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<sm-arch>sm90</sm-arch>
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<supported_envs>
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<env>
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<arch>x86_64</arch>

‎Samples/0_Introduction/UnifiedMemoryStreams/README.md

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## Supported SM Architectures
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[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)
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[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) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
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## CUDA APIs involved
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### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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cudaStreamDestroy, cudaFree, cudaMallocManaged, cudaStreamCreate, cudaDeviceSynchronize, cudaStreamAttachMemAsync, cudaSetDevice, cudaStreamSynchronize, cudaGetDeviceProperties
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cudaStreamDestroy, cudaFree, cudaMallocManaged, cudaStreamAttachMemAsync, cudaSetDevice, cudaDeviceSynchronize, cudaStreamSynchronize, cudaStreamCreate, cudaGetDeviceProperties
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## Dependencies needed to build/run
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[OpenMP](../../../README.md#openmp), [UVM](../../../README.md#uvm), [CUBLAS](../../../README.md#cublas)
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## Prerequisites
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Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Download and install the [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## Build and Run

‎Samples/0_Introduction/UnifiedMemoryStreams/UnifiedMemoryStreams_vs2017.vcxproj

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</PropertyGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.6.props" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.props" />
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<ImportGroup Label="PropertySheets">
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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<OutputFile>$(OutDir)/UnifiedMemoryStreams.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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<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;compute_90,sm_90;</CodeGeneration>
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<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
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<Defines>WIN32</Defines>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.targets" />
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‎Samples/0_Introduction/UnifiedMemoryStreams/UnifiedMemoryStreams_vs2019.vcxproj

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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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<Import Project="$(CUDAPropsPath)\CUDA 11.8.props" />
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</ImportGroup>
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<ImportGroup Label="PropertySheets">
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_90,sm_90;</CodeGeneration>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.targets" />
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‎Samples/0_Introduction/UnifiedMemoryStreams/UnifiedMemoryStreams_vs2022.vcxproj

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</PropertyGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.props" />
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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;compute_90,sm_90;</CodeGeneration>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.targets" />
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‎Samples/0_Introduction/asyncAPI/Makefile

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‎Samples/0_Introduction/asyncAPI/NsightEclipse.xml

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<toolkit>cudaProfilerStop</toolkit>
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<toolkit>cudaMalloc</toolkit>
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<toolkit>cudaMemcpyAsync</toolkit>
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<toolkit>cudaEventRecord</toolkit>
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<toolkit>cudaMemset</toolkit>
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<toolkit>cudaEventQuery</toolkit>
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<toolkit>cudaEventElapsedTime</toolkit>
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<toolkit>cudaEventCreate</toolkit>
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<description><![CDATA[This sample illustrates the usage of CUDA events for both GPU timing and overlapping CPU and GPU execution. Events are inserted into a stream of CUDA calls. Since CUDA stream calls are asynchronous, the CPU can perform computations while GPU is executing (including DMA memcopies between the host and device). CPU can query CUDA events to determine whether GPU has completed tasks.]]></description>
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<sm-arch>sm90</sm-arch>
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‎Samples/0_Introduction/asyncAPI/README.md

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## Supported SM Architectures
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[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)
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[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) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
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cudaMemset, cudaFree, cudaEventRecord, cudaMallocHost, cudaProfilerStart, cudaEventCreate, cudaEventElapsedTime, cudaDeviceSynchronize, cudaFreeHost, cudaMalloc, cudaEventQuery, cudaProfilerStop, cudaEventDestroy, cudaMemcpyAsync, cudaGetDeviceProperties
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cudaProfilerStop, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaMallocHost, cudaProfilerStart, cudaDeviceSynchronize, cudaEventRecord, cudaFreeHost, cudaMemset, cudaEventDestroy, cudaEventQuery, cudaEventElapsedTime, cudaGetDeviceProperties, cudaEventCreate
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## Prerequisites
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Download and install the [CUDA Toolkit 11.6](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Download and install the [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## Build and Run
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‎Samples/0_Introduction/asyncAPI/asyncAPI_vs2017.vcxproj

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<Import Project="$(CUDAPropsPath)\CUDA 11.8.props" />
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<ImportGroup Label="PropertySheets">
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<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_90,sm_90;</CodeGeneration>
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<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
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<Include>./;../../../Common</Include>
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<Defines>WIN32</Defines>
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.targets" />
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‎Samples/0_Introduction/asyncAPI/asyncAPI_vs2019.vcxproj

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</PropertyGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.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" />
@@ -63,7 +63,7 @@
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<OutputFile>$(OutDir)/asyncAPI.exe</OutputFile>
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</Link>
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<CudaCompile>
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<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;</CodeGeneration>
66+
<CodeGeneration>compute_35,sm_35;compute_37,sm_37;compute_50,sm_50;compute_52,sm_52;compute_60,sm_60;compute_61,sm_61;compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_90,sm_90;</CodeGeneration>
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<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
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<Include>./;../../../Common</Include>
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<Defines>WIN32</Defines>
@@ -103,6 +103,6 @@
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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<ImportGroup Label="ExtensionTargets">
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<Import Project="$(CUDAPropsPath)\CUDA 11.6.targets" />
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<Import Project="$(CUDAPropsPath)\CUDA 11.8.targets" />
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</ImportGroup>
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</Project>

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