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Fixing jitlto regression, including missing cuDLA source files for bug #235, and updating changelogs

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Rob Nertney
2023-11-09 16:52:00 +00:00
parent b5c84e6996
commit e8568c4173
223 changed files with 2514 additions and 508 deletions
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2
Samples/2_Concepts_and_Techniques/EGLStream_CUDA_CrossGPU/README.md
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@@ -33,7 +33,7 @@ cudaMemcpy, cudaMalloc, cudaProducerPresentFrame, cudaFree, cudaGetErrorString,
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

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Samples/2_Concepts_and_Techniques/EGLStream_CUDA_Interop/README.md
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@@ -33,7 +33,7 @@ cudaProducerReadYUVFrame, cudaProducerTest, cudaProducerDeinit, cudaDeviceCreate
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/EGLSync_CUDAEvent_Interop/README.md
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@@ -33,7 +33,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaDeviceSynchronize, cudaGetValueMis
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/FunctionPointers/README.md
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@@ -30,7 +30,7 @@ cudaGraphicsUnmapResources, cudaMemcpy, cudaMallocArray, cudaFreeArray, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/MC_EstimatePiInlineP/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaSetDevice, cudaGetDeviceCount, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/MC_EstimatePiInlineQ/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaSetDevice, cudaGetDeviceCount, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/MC_EstimatePiP/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaSetDevice, cudaGetDeviceCount, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/MC_EstimatePiQ/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaSetDevice, cudaGetDeviceCount, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/MC_SingleAsianOptionP/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaGetErrorString, cudaFree, cudaSetDevice, cudaGetDeviceCount, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/boxFilter/README.md
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@@ -30,7 +30,7 @@ cudaGraphicsUnmapResources, cudaCreateChannelDesc, cudaMallocArray, cudaFreeArra
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/convolutionSeparable/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaMemcpyToSymbol, cudaMalloc
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/convolutionTexture/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaMallocArray, cudaFreeArray, cudaFree, cudaMemcpyToArray, cudaDev
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/cuHook/README.md
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@@ -32,7 +32,7 @@ cudaDeviceReset, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/dct8x8/README.md
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@@ -27,7 +27,7 @@ cudaMallocArray, cudaFreeArray, cudaFree, cudaMallocPitch, cudaDestroyTextureObj
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/eigenvalues/README.md
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@@ -27,7 +27,7 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/histogram/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaMalloc, cudaGetDeviceProperties
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/imageDenoising/README.md
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@@ -30,7 +30,7 @@ cudaGraphicsUnmapResources, cudaMemcpy, cudaMallocArray, cudaFreeArray, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/inlinePTX/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaFree, cudaMallocHost, cudaGetLastError, cudaGridSize, cudaBlockS
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/inlinePTX_nvrtc/README.md
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@@ -33,7 +33,7 @@ cudaBlockSize, cudaGridSize
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/interval/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaFuncSetCacheConfig, cudaMalloc, cudaFree, cudaGetLastError, cuda
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/particles/README.md
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@@ -30,7 +30,7 @@ cudaGraphicsUnmapResources, cudaMemcpy, cudaFree, cudaGraphicsResourceGetMappedP
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/radixSortThrust/README.md
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@@ -27,7 +27,7 @@ cudaEventSynchronize, cudaEventRecord, cudaGetDevice, cudaEventDestroy, cudaEven
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/reduction/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaFree, cudaSetDevice, cudaDeviceSynchronize, cudaGetDevice, cudaM
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/reductionMultiBlockCG/README.md
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@@ -30,7 +30,7 @@ cudaMemcpy, cudaFree, cudaSetDevice, cudaDeviceSynchronize, cudaLaunchCooperativ
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/scalarProd/README.md
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@@ -27,7 +27,7 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/scan/README.md
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@@ -27,7 +27,7 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/segmentationTreeThrust/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaMemGetInfo, cudaEventSynchronize, cudaEventRecord, cudaMemset, c
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/shfl_scan/README.md
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@@ -28,7 +28,7 @@ cudaMemcpy, cudaFree, cudaMallocHost, cudaEventSynchronize, cudaEventRecord, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Make sure the dependencies mentioned in [Dependencies]() section above are installed.
## Build and Run

2
Samples/2_Concepts_and_Techniques/sortingNetworks/README.md
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@@ -27,7 +27,7 @@ cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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Samples/2_Concepts_and_Techniques/streamOrderedAllocation/README.md
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@@ -27,7 +27,7 @@ cudaDeviceGetDefaultMemPool, cudaFreeAsync, cudaStreamCreateWithFlags, cudaStrea
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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Samples/2_Concepts_and_Techniques/streamOrderedAllocationIPC/README.md
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@@ -30,7 +30,7 @@ cudaDeviceGetAttribute, cudaMemPoolImportFromShareableHandle, cudaSetDevice, cud
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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Samples/2_Concepts_and_Techniques/streamOrderedAllocationP2P/README.md
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@@ -27,7 +27,7 @@ cudaDeviceGetDefaultMemPool, cudaFreeAsync, cudaStreamCreateWithFlags, cudaMemPo
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

2
Samples/2_Concepts_and_Techniques/threadFenceReduction/README.md
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@@ -27,7 +27,7 @@ cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaMalloc, cudaGetDeviceProperties
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run

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Samples/2_Concepts_and_Techniques/threadMigration/README.md
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@@ -27,7 +27,7 @@ cuMemcpyDtoH, cuLaunchKernel, cuModuleLoadData, cuDeviceGetName, cuDeviceGet, cu
## Prerequisites
Download and install the [CUDA Toolkit 12.2](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
Download and install the [CUDA Toolkit 12.3](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
## Build and Run