cuBool 1.2.0

cuBool project source code for the version 1.2.0.

Summary

Python-package update: support backend type and memory type selection within package by environment variables. Update docs, add performance comparison section.

New features

• Backend type config in pycubool
• GPU memory type config in pycubool

cuBool 1.1.0

cuBool project source code for the version 1.1.0.

Summary

Introduce sparse vector of boolean values support for Cuda and CPU computations. Added new primitive type as well as supported common operations, which involve matrix-vector operations and vector manipulation. Added new vector C API, exposed vector primitive into python-package.

New features

• Sparse vector support
• Vector implementation for Cuda backend
• Vector implementation for Sequential backend
• Vector creation (empty, from data, with random data)
• Matrix-vector operations (matrix-vector and vector-matrix multiplication)
• Vector-vector operations (element-wise addition)
• Vector data extraction (as list of indices)
• Vector syntax sugar (pretty string printing, slicing, iterating through non-zero indices)
• Matrix operations (extract row or matrix column as sparse vector, reduce matrix (optionally transposed) to vector)

Deprecated

• Matrix reduce to matrix (compatibility feature)

cuBool 1.0.0

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)