README.md

CUDA Library Samples

CUDA Library Samples contains examples demonstrating the use of features in the

• math and image processing libraries,
• cuBLAS,
• cuTENSOR,
• cuSPARSE,
• cuSOLVER,
• cuFFT,
• cuRAND,
• NPP,
• nvJPEG
• ...

About

The CUDA Library Samples are released by NVIDIA Corporation as Open Source software under the 3-clause "New" BSD license.

GPU Accelerated Libraries

Library Examples

• cuBLAS - GPU-accelerated basic linear algebra (BLAS) library
• cuBLASLt - Lightweight GPU-accelerated basic linear algebra (BLAS) library
• cuFFT - GPU-accelerated library for Fast Fourier Transforms
• cuFFTMp - GPU-accelerated library for Fast Fourier Transforms Multi-process
• cuRAND - GPU-accelerated random number generation (RNG)
• cuSOLVER - GPU-accelerated dense and sparse direct solvers
• cuSOLVERMp -GPU-accelerated dense and sparse direct solvers Multi-process
• cuSPARSE - GPU-accelerated BLAS for sparse matrices
• cuSPARSELt - Lightweight GPU-accelerated BLAS for sparse matrices
• cuTENSOR - GPU-accelerated tensor linear algebra library
• cuTENSORMg - Multi-GPU GPU-accelerated tensor linear algebra library
• MathDx - GPU-accelerated standard mathematical function library
• NPP - Provides GPU-accelerated image, video, and signal processing functions
• nvJPEG - High performance GPU-accelerated library for JPEG encode/decoding
• nvJPEG2000 - High performance GPU-accelerated library for JPEG2000 encoding/decoding
• nvTIFF - GPU-accelerated TIFF encoding/decoding
• cuDSS - GPU-accelerated linear solvers

Copyright

Copyright (c) 2022 NVIDIA CORPORATION AND AFFILIATES. All rights reserved.

  Redistribution and use in source and binary forms, with or without modification, are permitted
  provided that the following conditions are met:
      * Redistributions of source code must retain the above copyright notice, this list of
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