Search Results for "sparse"

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 sources and builds history of FDMNES project (http://neel.cnrs.fr/spip.php?rubrique1007&lang=en ) with parallel sparse solvers moved to github: https://github.com/gudasergey/fdmnes

PSICOV (Protein Sparse Inverse Covariance estimation program) is a coevoultion algorithm applied to very large (typically >=1000 sequences) multiple sequence alignments for precise protein structural contact prediction. This is the unofficial precompiled Windows binary for PSICOV compiled by Chengxin Zhang at Fudan University. The source code is copyrighted by David T.

YAFEMS (Yet Another Finite Element Method Solver) is a FEM solver for Linux and WIndows that reads a MED mesh file produced by Salome (http://www.salome-platform.org/) with certain groups created into the mesh, and with the help of an input text file (.yaf), performs a 3D or 2D plane stress or plane strain analysis and creates results in plain text format and in MED format. This way a complete analysis can be carried inside Salome, where a mesh file can be created, exported and read by...

A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

The Optimized Sparse Kernel Interface (OSKI) Library provides automatically tuned sparse matrix kernels, for use by solver libraries and applications. OSKI is part of the BeBOP project on performance tuning and analysis at U.C. Berkeley. (Go Bears!)

sparse linear algebra library, with emphasis on preconditioned Krylov subspace methods for the solution of linear systems of equations

Blit contains a group of highly efficient iterative sparse solvers that can handle multiple right-hand-sides (i.e. block solvers). We will implement BLQMR, BLGMRES and other block algorithms in MATLAB, FORTRAN 90, C/C++, CUDA and OpenCL.