Remove README references to PPC processors (no longer supported)

This commit is contained in:
Rob Armstrong
2024-12-18 10:54:37 -08:00
parent 0f5821a8c8
commit bfd956bc5e
142 changed files with 142 additions and 272 deletions

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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaStreamCreateWithFlags, cudaFree, cudaMallocHost, cudaFreeHost, cudaStreamSyn
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

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@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

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@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -32,4 +32,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

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@@ -18,7 +18,7 @@ Linux, Windows, QNX
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -33,4 +33,3 @@ cudaMemcpy, cudaEventSynchronize, cudaEventRecord, cudaEventElapsedTime, cudaOcc
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

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@@ -22,7 +22,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ cudaMemcpy, cudaFree, cudaGetErrorString, cudaGetLastError, cudaEventSynchronize
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows, QNX
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaDeviceSynchronize, cudaDriverGetVersion, cudaFree, cudaGraphAddNode, cudaGra
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaGraphAddMemAllocNode, cudaStreamCreateWithFlags, cudaGraphInstantiate, cudaS
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaMemcpy, cudaDeviceGetAttribute, cudaDriverGetVersion, cudaGraphLaunch, cudaE
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaMemcpy, cudaFree, cudaGetErrorString, cudaGetLastError, cudaEventSynchronize
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

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@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -28,4 +28,3 @@ cudaExtent, cudaGraphLaunch, cudaGraphAddMemcpyNode, cudaMallocHost, cudaPitched
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows, QNX
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaDeviceSetLimit, cudaMalloc
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -33,4 +33,3 @@ cudaMalloc, cudaDriverGetVersion, cudaMemcpy, cudaFree
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved
@@ -28,4 +28,3 @@ cudaGraphClone, cudaExtent, cudaGraphLaunch, cudaStreamCreate, cudaLaunchHostFun
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

View File

@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -34,4 +34,3 @@ Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-d
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## References (for more details)

View File

@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## CUDA APIs involved
@@ -28,4 +28,3 @@ cudaMemcpy, cudaFree, cudaDeviceGetAttribute, cudaMemset, cudaMalloc
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)