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spbla 1.0.0
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@EgorOrachyov EgorOrachyov released this 08 Jun 12:08
· 41 commits to main since this release
v1.0.0
699f351

spbla project source code for the version 1.0.0.

Summary

spbla is a sparse linear Boolean algebra for Nvidia Cuda, OpenCL and CPU computations.
Library provides C compatible API, the core of the library is written on C++ with
CUDA C/C++, CUDA Thrust and OpenCL for actual backend implementation.
Library supports CPU backend as fallback for debugging, prototyping and running on low-end PC.

pyspbla Python-package sources are shipped with the library source code.
It provides high-level safe and efficient access to the library within Python runtime.

Python-package for Linux-based OSs is published in PyPI and available at link.

Features

  • Cuda backend
  • OpenCL backend
  • Sequential (CPU) backend
  • Sparse matrix support
  • Matrix creation (empty, from data, with random data)
  • Matrix-matrix operations (multiplication, element-wise addition, kronecker product)
  • Matrix operations (equality, transpose, reduce to vector, extract sub-matrix)
  • Matrix data extraction (as lists, as list of pairs)
  • Matrix syntax sugar (pretty string printing, slicing, iterating through non-zero values)
  • IO (import/export matrix from/to .mtx file format)
  • GraphViz (export single matrix or set of matrices as a graph with custom color and label settings)
  • Debug (matrix string debug markers, logging, operations time profiling)
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