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64 lines
3.0 KiB
Markdown
64 lines
3.0 KiB
Markdown
# streamOrderedAllocationIPC - stream Ordered Allocation IPC Pools
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## Description
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This sample demonstrates IPC pools of stream ordered memory allocated using cudaMallocAsync and cudaMemPool family of APIs.
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## Key Concepts
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Performance Strategies
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## Supported SM Architectures
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[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)
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## Supported OSes
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Linux
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## Supported CPU Architecture
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x86_64
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## CUDA APIs involved
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### [CUDA Driver API](http://docs.nvidia.com/cuda/cuda-driver-api/index.html)
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cuDeviceGetAttribute, cuDeviceGet
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### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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cudaDeviceGetAttribute, cudaMemPoolImportFromShareableHandle, cudaSetDevice, cudaMemPoolExportPointer, cudaMemPoolGetAccess, cudaMemPoolDestroy, cudaMemPoolSetAccess, cudaMallocAsync, cudaMemPoolImportPointer, cudaGetDeviceCount, cudaMemcpyAsync, cudaDeviceCanAccessPeer, cudaFreeAsync, cudaStreamCreateWithFlags, cudaStreamDestroy, cudaGetLastError, cudaMemPoolCreate, cudaMemPoolExportToShareableHandle, cudaStreamSynchronize, cudaDeviceEnablePeerAccess, cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaGetDeviceProperties
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## Prerequisites
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Download and install the [CUDA Toolkit 12.4](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## Build and Run
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### Linux
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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:
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```
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$ cd <sample_dir>
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$ make
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```
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The samples makefiles can take advantage of certain options:
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* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64.
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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/>
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`$ make TARGET_ARCH=x86_64` <br/>
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See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
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* **dbg=1** - build with debug symbols
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```
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$ make dbg=1
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```
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* **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"`.
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```
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$ make SMS="50 60"
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```
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* **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.
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```
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$ make HOST_COMPILER=g++
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```
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## References (for more details)
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