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cuBool 1.0.0
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@EgorOrachyov EgorOrachyov released this 02 Apr 10:13
· 68 commits to master since this release
v1.0.0
7f037ae

cuBool project source code for the version 1.0.0.

Summary

cuBool is a sparse linear Boolean algebra for Nvidia Cuda computations. Library provides C compatible API, the core of the library is written on C++ with CUDA C/C++ API and Thrust for Cuda related computations. Library also supports CPU backend for non-Cuda devices. Pycubool Python package is shipped with the library source code and it provides high-level safe and efficient access to the library within Python runtime.

Features

  • Cuda 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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