
LAPACK
 Referenced in 1702 articles
[sw00503]
 Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general ... operations. LAPACK addresses this problem by reorganizing the algorithms to use block matrix operations, such ... multiplication, in the innermost loops. These block operations can be optimized for each architecture ... performed by calls to the Basic Linear Algebra Subprograms (BLAS). LAPACK is designed...

CUSPARSE
 Referenced in 52 articles
[sw07887]
 library contains a set of basic linear algebra subroutines used for handling sparse matrices ... operations between a vector in sparse format and a vector in dense format; Level...

MTJ
 Referenced in 4 articles
[sw22708]
 full set of standard linear algebra operations for dense matrices based on BLAS and LAPACK...

HSL_MA77
 Referenced in 15 articles
[sw13924]
 efficient dense linear algebra kernel codes that handle the fullmatrix operations on the frontal...

POOCLAPACK
 Referenced in 16 articles
[sw07034]
 operations. POOCLAPACK builds on the Parallel Linear Algebra Package (PLAPACK) for incore parallel dense...

Chameleon
 Referenced in 3 articles
[sw30065]
 Chameleon, a dense linear algebra software for heterogeneous architectures. Chameleon is a C library providing ... perform BLAS/LAPACK operations exploiting fully modern architectures.Chameleon dense linear algebra software relies on sequential task...

ITERREF
 Referenced in 16 articles
[sw10290]
 fast as the performance of 64bit operations. By using a combination ... arithmetic, the performance of many dense and sparse linear algebra algorithms can be significantly enhanced...

RElem
 Referenced in 0 articles
[sw17409]
 analyses are largely based on dense linear algebra operations, which have been deeply studied, optimized ... source package that integrates the distributed dense linear algebra library Elemental into R. While ... other hand, it overloads various operators and functions to provide an entirely native R experience...

Ifpack2
 Referenced in 2 articles
[sw40379]
 decomposition operators for linear algebra objects (sparse matrices, operators, and dense vectors and multivectors) provided ... iterative solver, or as smoothers for algebraic multigrid. Ifpack2 aims at offering the same functionality ... backwards compatibility. Ifpack only works for Epetra linear algebra objects; Ifpack2 only works for Tpetra...

ReLAPACK
 Referenced in 3 articles
[sw22691]
 kernels, dense linear algebra libraries, such as linear algebra package (LAPACK), commonly implement operations...

HPEC
 Referenced in 1 article
[sw03700]
 based on basic linear algebra operations for sparse and dense matrices, some of which have...

UJMP
 Referenced in 3 articles
[sw13256]
 source library for dense and sparse matrix computations and linear algebra in Java. In addition ... basic operations like matrix multiplication, matrix inverse or matrix decomposition, it also supports visualization, JDBC...

SRUMMA
 Referenced in 2 articles
[sw04172]
 applications, dense matrix multiplication is one of the most important linear algebra operations. Because...

uBLAS
 Referenced in 4 articles
[sw12896]
 design and implementation unify mathematical notation via operator overloading and efficient code generation via expression ... templated C++ classes for dense, unit and sparse vectors, dense, identity, triangular, banded, symmetric, hermitian ... library covers the usual basic linear algebra operations on vectors and matrices: reductions like different...

SciPAL
 Referenced in 2 articles
[sw08429]
 Parallel Algorithms Library), a C++based and operatingsystemindependent library. The core of SciPAL ... domainspecific embedded language for dense and sparse linear algebra which is presented in chapter ... terms of matrix and vector operations. The resulting rapid prototyping capabilities are discussed by using...

HiCMA
 Referenced in 1 article
[sw30064]
 existing dense linear algebra libraries to exploit the data sparsity of the matrix operator. Data...

ExaGeoStat
 Referenced in 6 articles
[sw30062]
 storage and ${mathcal O}(n^3)$ operations are required. While many approximation methods have been ... complementary approach of evaluating the exact algebraic result by exploiting advances in solution algorithms ... stateoftheart high performance dense linear algebra libraries associated with various leading edge...

EigenCFA
 Referenced in 3 articles
[sw14136]
 0CFA to an algorithm synthesized from linearalgebra operations. Central to this reduction were “abstract ... vectors and matrices.{par}A straightforward (densematrix) implementation of EigenCFA performed slower than...

PyLops
 Referenced in 2 articles
[sw30606]
 Python Library for large scale optimization. Linear operators and optimisation are at the core ... explicitly building dense (or sparse) matrices and performing algebraic operations (e.g., computation of matrixvector ... forms. However, many real application, largescale operators do not lend themselves to explicit matrix ... forcing practitioners to forego of the convenient linearalgebra syntax available for their explicitmatrix...

Meta Matrix Library
 Referenced in 0 articles
[sw05724]
 linear algebra algorithms for sparse and dense matrices. The dense matrix and vector operations ... UMFPACK (SuperLU projected) as a solver for linear systems of equations with sparse matrices. MEML...