Librsb

librsb is an open-source parallel library for sparse matrix computations using the ''Recursive Sparse Blocks'' (RSB) 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 (scaling, add, etc).
*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 (Encapsulated Postscript) figures.
*A program for benchmarking / testing performance.
*Implements the Sparse BLAS standard, as specified in the BLAS Technical Forum. documents.

System requirements

librsb can be used from:

*C and C++ (''rsb.h'' interface)
*Fortran 90/95/2003 (''module rsb'')
*GNU Octave (sparsersb package for GNU Octave) GNU Octave package sparsersb: "Interface to the librsb package implementing the RSB sparse matrix format for fast shared-memory sparse matrix computations."
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References

Martone, M. Efficient multithreaded untransposed, transposed or symmetric sparse matrix-vector multiplication with the Recursive Sparse Blocks format. ''Parallel Computing 40(7): 251-270 (2014)'

External links

*

librsb.sourceforge.net

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