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A shared memory parallel sparse matrix computations library.

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librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time.
librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.

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Intended Audience

Advanced End Users, Developers, Engineering, Science/Research

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Programming Language

C, Fortran, MATLAB


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