Librsb

librsb is an open-source parallel library for sparse matrix computations using the Recursive Sparse Blocks matrix format.

librsb provides cache efficient multi-threaded Sparse BLAS operations via OpenMP, and is best suited to large sparse matrices.

Features

librsb provides:

Conversion from/to COO, CSR, CSC sparse matrix formats.
Support for the four BLAS types.
Support for general, symmetric, hermitian matrices.
Parallel threaded, eventually strided:
*Sparse matrix-vector multiplication.
*Sparse matrix-dense matrix multiplication.
*Sparse matrix-vector triangular solve.
*Sparse matrix-dense matrix triangular solve.
Sparse matrix-sparse matrix multiplication.
Elemental sparse matrix operations.
Row-wise or column-wise scaling.
Rows / columns extraction.
An online empirical autotuning function.
File input/output in the Matrix Market format.
Rendering of the RSB structure into EPS figures.
A program for benchmarking / testing performance.
Implements the Sparse BLAS standard, as specified in the BLAS Technical Forum. documents.

librsb can be used from: