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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/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)

3
Samples/1_Utilities/bandwidthTest/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, cudaMemcpy, cudaMalloc, cudaMemcpyAsync, cudaFree, cudaGetErrorSt
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/1_Utilities/deviceQuery/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
@ -33,4 +33,3 @@ cudaRuntimeGetVersion, cudaGetErrorString, cudaDeviceCanAccessPeer, cudaSetDevic
Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## References (for more details)

3
Samples/1_Utilities/deviceQueryDrv/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 @@ cudaSetDevice
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/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
View File

@ -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
View File

@ -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
View File

@ -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
View File

@ -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
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, 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
View File

@ -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
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, 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
View File

@ -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
View File

@ -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/reductionMultiBlockCG/README.md
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)

3
Samples/2_Concepts_and_Techniques/scalarProd/README.md
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 @@ 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
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 @@ 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
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, 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
View File

@ -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
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 @@ 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
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 @@ 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
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 @@ 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
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, 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
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 @@ 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)

3
Samples/3_CUDA_Features/bf16TensorCoreGemm/README.md
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)

3
Samples/3_CUDA_Features/binaryPartitionCG/README.md
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 @@ 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/3_CUDA_Features/cdpAdvancedQuicksort/README.md
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)

3
Samples/3_CUDA_Features/cdpBezierTessellation/README.md
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)

3
Samples/3_CUDA_Features/cdpQuadtree/README.md
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)

3
Samples/3_CUDA_Features/cdpSimplePrint/README.md
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)

3
Samples/3_CUDA_Features/cdpSimpleQuicksort/README.md
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)

3
Samples/3_CUDA_Features/cudaCompressibleMemory/README.md
View File

@ -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)

3
Samples/3_CUDA_Features/cudaTensorCoreGemm/README.md
View File

@ -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)

3
Samples/3_CUDA_Features/dmmaTensorCoreGemm/README.md
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)

3
Samples/3_CUDA_Features/globalToShmemAsyncCopy/README.md
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)

3
Samples/3_CUDA_Features/graphConditionalNodes/README.md
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)

3
Samples/3_CUDA_Features/graphMemoryFootprint/README.md
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)

3
Samples/3_CUDA_Features/graphMemoryNodes/README.md
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)

3
Samples/3_CUDA_Features/immaTensorCoreGemm/README.md
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)

3
Samples/3_CUDA_Features/jacobiCudaGraphs/README.md
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 @@ 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)

3
Samples/3_CUDA_Features/memMapIPCDrv/README.md
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)

3
Samples/3_CUDA_Features/newdelete/README.md
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)

3
Samples/3_CUDA_Features/ptxjit/README.md
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)

3
Samples/3_CUDA_Features/simpleCudaGraphs/README.md
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)

3
Samples/3_CUDA_Features/tf32TensorCoreGemm/README.md
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)

3
Samples/3_CUDA_Features/warpAggregatedAtomicsCG/README.md
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)

3
Samples/4_CUDA_Libraries/FilterBorderControlNPP/README.md
View File

@ -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/4_CUDA_Libraries/MersenneTwisterGP11213/README.md
View File

@ -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/4_CUDA_Libraries/batchCUBLAS/README.md
View File

@ -18,7 +18,7 @@ Linux, Windows
## Supported CPU Architecture
x86_64, ppc64le, armv7l
x86_64, armv7l
## 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/4_CUDA_Libraries/boxFilterNPP/README.md
View File

@ -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/4_CUDA_Libraries/cannyEdgeDetectorNPP/README.md
View File

@ -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/4_CUDA_Libraries/conjugateGradient/README.md
View File

@ -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/4_CUDA_Libraries/conjugateGradientCudaGraphs/README.md
View File

@ -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/4_CUDA_Libraries/conjugateGradientMultiBlockCG/README.md
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)

3
Samples/4_CUDA_Libraries/conjugateGradientMultiDeviceCG/README.md
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)

3
Samples/4_CUDA_Libraries/conjugateGradientPrecond/README.md
View File

@ -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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