Pyculib¶
High Performance Computing
Pyculib is a package that provides access to several numerical libraries that are optimized for performance on NVidia GPUs.
Pyculib was originally part of Accelerate, developed by Anaconda, Inc.
The current version, 1.0.1, was released on July 27, 2017.
Note
Pyculib is currently available for archival purposes and is not receiving updates. We think that CuPy provides a much more complete interface to standard GPU algorithms, and CuPy arrays work with Numba-compiled GPU kernels now.
Features¶
- Bindings to the following CUDA libraries:
- cuBLAS
- cuFFT
- cuSPARSE
- cuRAND
- CUDA Sorting algorithms from the CUB and Modern GPU libraries
Installation¶
This section contains information related to: