pyspla 0.0.5

Description:

pyspla 0.0.5

spla






spla is an open-source generalized sparse linear algebra framework for mathematical computations with GPUs
acceleration. It provides linear algebra primitives, such as matrices, vectors and scalars, supports wide variety of
operations. It gives an ability to customize underlying values types treatment and parametrise operations using rich
pre-defined functions' set.

Package page
https://test.pypi.org/project/pyspla
Source code:
https://github.com/JetBrains-Research/spla
Contributing:
https://github.com/JetBrains-Research/spla/CONTRIBUTING.md
Development:
https://github.com/JetBrains-Research/spla/DEVELOPMENT.md
C/C++ API Reference:
https://jetbrains-research.github.io/spla/docs-cpp
Bug report:
https://github.com/JetBrains-Research/spla/issues


Note: project under heavy development! Not ready for usage.

Contributors

Egor Orachyov (Github: @EgorOrachyov)
Gleb Marin (Github: @Glebanister)
Semyon Grigorev (Github: @gsvgit)

Citation
@online{spla,
author = {Orachyov, Egor and Marin, Gleb and Grigorev, Semyon},
title = {spla: An open-source generalized sparse linear algebra framework for GPU computations},
year = 2022,
url = {https://github.com/JetBrains-Research/spla},
note = {Version 1.0.0}
}

License
This project licensed under MIT License. License text can be found in the
license file.
Acknowledgments
This is a research project of the Programming Languages and Tools Laboratory at JetBrains-Research. Laboratory
website link.