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