6 projects tagged "Linear Algebra"
Updated 17 Apr 2013
Eigen
| Pop | 356.15 |
|---|---|
| Vit | 36.23 |
Eigen is a C++ template library for linear algebra: vectors, matrices, and related algorithms. It is versatile, fast, elegant and works on many platforms.
Updated 16 Dec 2010
OpenMPF
| Pop | 21.70 |
|---|---|
| Vit | 29.82 |
OpenMPF is a library for solving large, dense, multi-RHS linear systems. It is based on MPI/openMP parallelism, and relies on BLAS/LAPACK/MUMPS for the single node computations. It implements direct and iterative solvers, out-of-core matrices and vectors, and is easily accessible through a Python interface.
Updated 05 Jan 2011
Elemental
| Pop | 22.67 |
|---|---|
| Vit | 29.50 |
Elemental is a C++ framework for distributed-memory dense linear algebra that strives to be fast, portable, and programmable. It can be thought of as a generalization of PLAPACK to element-by-element distributions that also makes use of recent algorithmic advances from the FLAME project. Elemental usually outperforms both PLAPACK and ScaLAPACK, however, it heavily relies on MPI collectives so a good MPI implementation is crucial. Both pure MPI and hybrid OpenMP-MPI configurations are supported.
Updated 08 Oct 2011
NLinear
| Pop | 28.98 |
|---|---|
| Vit | 1.00 |
NLinear is a generic linear algebra toolkit for the .NET platform. It is designed to work with any numeric type, including float and double.
Updated 08 Oct 2012
Topologic
| Pop | 36.88 |
|---|---|
| Vit | 1.94 |
Topologic is a simple renderer for certain higher-dimensional geometric primitives and some regular 3D shapes. The idea is to make it easy for students of certain higher-dimensional maths and physics topics to visualize the typical primitives in those fields and get a grasp for the topic. Note: the program as such is freeware, while the part of it that deals with the Mathematics to project the geometric shapes to 3-space and 2-space has been released separately under an MIT/X style license.
Updated 07 Apr 2013
librsb
| Pop | 116.87 |
|---|---|
| Vit | 2.21 |
librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache-efficient and multithreaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available (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 buildtime. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.
