SPbLA: The Library of GPGPU-powered Sparse Boolean Linear Algebra Operations

SPbLA: The Library of GPGPU-powered Sparse Boolean Linear Algebra Operations - Published in JOSS (2022)

https://github.com/jetbrains-research/spbla

Science Score: 87.0%

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    Published in Journal of Open Source Software
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JOSS Publication

SPbLA: The Library of GPGPU-powered Sparse Boolean Linear Algebra Operations
Published
August 20, 2022
Volume 7, Issue 76, Page 3743
Authors
Egor Orachev ORCID
Saint Petersburg State University, JetBrains Research
Maria Karpenko
ITMO University
Pavel Alimov
Saint Petersburg State University
Semyon Grigorev ORCID
Saint Petersburg State University, JetBrains Research
Editor
Nikoleta Glynatsi ORCID
Tags
sparse-matrix linear-algebra graph-analysis graph-algorithms nvidia-cuda opencl