spla library python bindings
Project description
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.
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