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Remove README references to PPC processors (no longer supported)

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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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3
Samples/2_Concepts_and_Techniques/MC_EstimatePiInlineP/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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)

3
Samples/2_Concepts_and_Techniques/MC_EstimatePiInlineQ/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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)

3
Samples/2_Concepts_and_Techniques/MC_EstimatePiP/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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)

3
Samples/2_Concepts_and_Techniques/MC_EstimatePiQ/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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)

3
Samples/2_Concepts_and_Techniques/MC_SingleAsianOptionP/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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)

2
Samples/2_Concepts_and_Techniques/convolutionSeparable/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved

3
Samples/2_Concepts_and_Techniques/convolutionTexture/README.md
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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 @@ cudaMemcpy, cudaMallocArray, cudaFreeArray, cudaFree, cudaMemcpyToArray, cudaDev
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

2
Samples/2_Concepts_and_Techniques/dct8x8/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved

2
Samples/2_Concepts_and_Techniques/eigenvalues/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved

2
Samples/2_Concepts_and_Techniques/histogram/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved

3
Samples/2_Concepts_and_Techniques/inlinePTX/README.md
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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 @@ cudaMemcpy, cudaFree, cudaMallocHost, cudaGetLastError, cudaGridSize, cudaBlockS
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/inlinePTX_nvrtc/README.md
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@@ -18,7 +18,7 @@ Linux, Windows, QNX
## Supported CPU Architecture
x86_64, ppc64le, aarch64
x86_64, aarch64
## CUDA APIs involved
@@ -37,4 +37,3 @@ 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)

3
Samples/2_Concepts_and_Techniques/interval/README.md
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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 @@ cudaMemcpy, cudaFuncSetCacheConfig, cudaMalloc, cudaFree, cudaGetLastError, cuda
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

2
Samples/2_Concepts_and_Techniques/radixSortThrust/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## CUDA APIs involved

3
Samples/2_Concepts_and_Techniques/reduction/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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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Samples/2_Concepts_and_Techniques/reductionMultiBlockCG/README.md
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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)

3
Samples/2_Concepts_and_Techniques/scalarProd/README.md
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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 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/scan/README.md
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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 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/segmentationTreeThrust/README.md
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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 @@ cudaMemcpy, cudaMemGetInfo, cudaEventSynchronize, cudaEventRecord, cudaMemset, c
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/shfl_scan/README.md
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@@ -16,7 +16,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## 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)

3
Samples/2_Concepts_and_Techniques/sortingNetworks/README.md
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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 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/streamOrderedAllocation/README.md
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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 @@ cudaDeviceGetDefaultMemPool, cudaFreeAsync, cudaStreamCreateWithFlags, cudaStrea
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/streamOrderedAllocationP2P/README.md
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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 @@ cudaDeviceGetDefaultMemPool, cudaFreeAsync, cudaStreamCreateWithFlags, cudaMemPo
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/threadFenceReduction/README.md
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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 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaMalloc, cudaGetDeviceProperties
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/2_Concepts_and_Techniques/threadMigration/README.md
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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 @@ cuMemcpyDtoH, cuLaunchKernel, cuModuleLoadData, cuDeviceGetName, cuDeviceGet, cu
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)