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Release 13.4 of the CUDA Samples supported by CUDA Toolkit 13.4. See Changelog for more information.
25 lines
1.5 KiB
Markdown
25 lines
1.5 KiB
Markdown
# 4. CUDA Libraries
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## [conjugateGradientCudaGraphs](./conjugateGradientCudaGraphs)
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This sample implements a conjugate gradient solver on GPU using CUBLAS and CUSPARSE library calls captured and called using CUDA Graph APIs.
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## [conjugateGradientMultiBlockCG](./conjugateGradientMultiBlockCG)
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This sample implements a conjugate gradient solver on GPU using Multi Block Cooperative Groups, also uses Unified Memory.
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## [conjugateGradientMultiDeviceCG](./conjugateGradientMultiDeviceCG)
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This sample implements a conjugate gradient solver on multiple GPUs using Multi Device Cooperative Groups, also uses Unified Memory optimized using prefetching and usage hints.
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## [cudaNvSci](./cudaNvSci)
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This sample demonstrates CUDA-NvSciBuf/NvSciSync Interop. Two CPU threads import the NvSciBuf and NvSciSync into CUDA to perform two image processing algorithms on a ppm image - image rotation in 1st thread & rgba to grayscale conversion of rotated image in 2nd thread. Currently only supported on Ubuntu 18.04
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## [lineOfSight](./lineOfSight)
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This sample is an implementation of a simple line-of-sight algorithm: Given a height map and a ray originating at some observation point, it computes all the points along the ray that are visible from the observation point. The implementation is based on the Thrust library.
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## [oceanFFT](./oceanFFT)
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This sample simulates an Ocean height field using CUFFT Library and renders the result using OpenGL.
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## [randomFog](./randomFog)
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This sample illustrates pseudo- and quasi- random numbers produced by CURAND.
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