mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2026-10-25 22:28:17 +08:00
Remove README references to PPC processors (no longer supported)
This commit is contained in:
@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaStreamCreateWithFlags, cudaFree, cudaMallocHost, cudaFreeHost, cudaStreamSyn
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows, QNX
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -33,4 +33,3 @@ cudaMemcpy, cudaEventSynchronize, cudaEventRecord, cudaEventElapsedTime, cudaOcc
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -22,7 +22,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ cudaMemcpy, cudaFree, cudaGetErrorString, cudaGetLastError, cudaEventSynchronize
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows, QNX
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l, aarch64
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x86_64, armv7l, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaDeviceSynchronize, cudaDriverGetVersion, cudaFree, cudaGraphAddNode, cudaGra
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaGraphAddMemAllocNode, cudaStreamCreateWithFlags, cudaGraphInstantiate, cudaS
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaMemcpy, cudaDeviceGetAttribute, cudaDriverGetVersion, cudaGraphLaunch, cudaE
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaMemcpy, cudaFree, cudaGetErrorString, cudaGetLastError, cudaEventSynchronize
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -28,4 +28,3 @@ cudaExtent, cudaGraphLaunch, cudaGraphAddMemcpyNode, cudaMallocHost, cudaPitched
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows, QNX
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l, aarch64
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x86_64, armv7l, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -30,4 +30,3 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaDeviceSetLimit, cudaMalloc
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -33,4 +33,3 @@ cudaMalloc, cudaDriverGetVersion, cudaMemcpy, cudaFree
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l
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x86_64, armv7l
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## CUDA APIs involved
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@@ -28,4 +28,3 @@ cudaGraphClone, cudaExtent, cudaGraphLaunch, cudaStreamCreate, cudaLaunchHostFun
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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@@ -18,7 +18,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, aarch64
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x86_64, aarch64
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## CUDA APIs involved
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@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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@@ -16,7 +16,7 @@ Linux, Windows
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## Supported CPU Architecture
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x86_64, ppc64le, armv7l, aarch64
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x86_64, armv7l, aarch64
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## CUDA APIs involved
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@@ -28,4 +28,3 @@ cudaMemcpy, cudaFree, cudaDeviceGetAttribute, cudaMemset, cudaMalloc
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Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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## References (for more details)
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