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Remove README references to PPC processors (no longer supported)

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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/0_Introduction/UnifiedMemoryStreams/README.md
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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)

3
Samples/0_Introduction/asyncAPI/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 @@ cudaProfilerStop, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaMallocHost, cudaPro
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/clock/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, 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/0_Introduction/clock_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/0_Introduction/cudaOpenMP/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/0_Introduction/fp16ScalarProduct/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/0_Introduction/matrixMul/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## CUDA APIs involved
@@ -30,4 +30,3 @@ cudaStreamCreateWithFlags, cudaProfilerStop, cudaMalloc, cudaFree, cudaMallocHos
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/matrixMulDrv/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## CUDA APIs involved
@@ -30,4 +30,3 @@ cuMemcpyDtoH, cuLaunchKernel, cuMemcpyHtoD, cuDeviceGetName, cuDeviceTotalMem, 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/0_Introduction/matrixMulDynlinkJIT/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, cuDeviceGetName, cuParamSeti, cuModuleLoadDataEx, cuModuleGetFunct
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/matrixMul_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
@@ -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/0_Introduction/mergeSort/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/0_Introduction/simpleAWBarrier/README.md
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@@ -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)

3
Samples/0_Introduction/simpleAssert/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 @@ cudaDeviceSynchronize, cudaGetErrorString
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleAssert_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
@@ -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/0_Introduction/simpleAtomicIntrinsics/README.md
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@@ -18,7 +18,7 @@ Linux, Windows, QNX
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## 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)

3
Samples/0_Introduction/simpleAtomicIntrinsics_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/0_Introduction/simpleAttributes/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 @@ cudaFree, cudaMallocHost, cudaFreeHost, cudaStreamSynchronize, cudaStreamSetAttr
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleCallback/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 @@ cudaHostAlloc, cudaStreamDestroy, cudaFree, cudaSetDevice, cudaGetDeviceCount, 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/0_Introduction/simpleCooperativeGroups/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 @@ cudaDeviceSynchronize, cudaGetErrorString
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleCubemapTexture/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, cudaCreateChannelDesc, cudaFreeArray, cudaFree, cudaPitchedPtr, cuda
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleDrvRuntime/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
@@ -33,4 +33,3 @@ 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)

2
Samples/0_Introduction/simpleHyperQ/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/0_Introduction/simpleLayeredTexture/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, cudaCreateChannelDesc, cudaFreeArray, cudaFree, cudaPitchedPtr, cuda
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleMPI/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/0_Introduction/simpleMultiCopy/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 @@ cudaHostAlloc, cudaStreamDestroy, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaSet
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleMultiGPU/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 @@ cudaStreamDestroy, cudaFree, cudaMallocHost, cudaSetDevice, cudaFreeHost, cudaSt
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleOccupancy/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, cudaEventRecord, cudaGetDevice, cud
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simplePitchLinearTexture/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 @@ cudaMallocArray, cudaFreeArray, cudaFree, cudaMallocPitch, cudaDestroyTextureObj
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simplePrintf/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 @@ cudaGetDeviceProperties, cudaDeviceSynchronize, cudaGetDevice
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleStreams/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, cudaSetDeviceFlags, cudaSetDevice, cudaEventDestroy, cudaStreamCreat
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleSurfaceWrite/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, cudaCreateChannelDesc, cudaMallocArray, cudaFreeArray, cudaFree, cud
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleTemplates/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, cudaMemcpy, cudaGetDeviceProperties, 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/0_Introduction/simpleTexture/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, cudaCreateChannelDesc, cudaMallocArray, cudaFreeArray, cudaFree, cud
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleTextureDrv/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, cuDeviceGetAttr
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/simpleVoteIntrinsics/README.md
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@@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l, aarch64
x86_64, armv7l, aarch64
## 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/0_Introduction/simpleZeroCopy/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 @@ cudaHostAlloc, cudaSetDeviceFlags, cudaHostRegister, cudaSetDevice, cudaGetDevic
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/template/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, 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/0_Introduction/vectorAdd/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, cudaGetErrorString, cudaFree, cudaGetLastError, cudaMalloc
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/vectorAddDrv/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, cuMemcpyHtoD, cuModuleLoadData, cuCtxSynchronize,
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/0_Introduction/vectorAdd_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)