
LAPACK
 Referenced in 1166 articles
[sw00503]
 block matrix operations, such as matrix multiplication, in the innermost loops. These block operations ... performance, LAPACK requires that highly optimized block matrix operations be already implemented on each machine ... subprograms that do various types of matrix multiplication and the solution of triangular systems with...

Aztec
 Referenced in 62 articles
[sw12817]
 iterative solvers, preconditioners and matrixvector multiplication routines. Users are not required to provide their ... matrixvector multiplication routines or preconditioners in order to solve a linear system. The Aztec ... perform the necessary transformations for the matrixvector multiplication and preconditioning. After the transformations ... solvers can run efficiently. If the input matrix is suitably partitioned, the efficiency...

INTLAB
 Referenced in 267 articles
[sw04004]
 product and matrixvector residuals (interpreted, reference implementation, slow) multiple precision interval arithmetic with error...

RestoreTools
 Referenced in 42 articles
[sw04822]
 image restoration methods, implementation of efficient matrix vector multiplication, and linear system solves for preconditioners...

TRLan
 Referenced in 41 articles
[sw04029]
 choose to implement or use a matrixvector multiplication routine in any form convenient. Most...

SUMMA
 Referenced in 24 articles
[sw04171]
 highly efficient, scalable implementation of common matrix multiplication operations. The algorithms are much simpler than...

TAUCS
 Referenced in 26 articles
[sw04014]
 these are symmetric orderings. Matrix Operations. Matrixvector multiplication, triangular solvers, matrix reordering. Matrix Input/Output...

PUMMA
 Referenced in 10 articles
[sw07819]
 PUMMA: Parallel universal matrix multiplication algorithms on distributed memory concurrent computers. he paper describes Parallel ... Universal Matrix Multiplication Algorithms (PUMMA) on distributed memory concurrent computers. The PUMMA package includes ... only the nontransposed matrix multiplication routine C = A ⋅ B, but also transposed multiplication routines...

MA57
 Referenced in 43 articles
[sw00536]
 matrix modification, partial solution for matrix factors, solution of multiple righthand sides, and iterative...

MadGraph
 Referenced in 69 articles
[sw06476]
 collision processes at high energy colliders. Allows matrix element generation and event generation ... output in multiple formats and languages, including Fortran MadEvent, Fortran Standalone matrix elements, C++ matrix...

ClustalW
 Referenced in 69 articles
[sw12016]
 progressive multiple sequence alignment through sequence weighting, positionspecific gap penalties and weight matrix choice...

Algorithm 862
 Referenced in 40 articles
[sw07347]
 additional operations such as tensor multiplication. The tensor_as_matrix class supports the “matricization...

LOCA
 Referenced in 17 articles
[sw04717]
 task that involved second derivatives and dense matrix rows), bordering algorithms are used to decompose ... algorithms just require multiple solves of the Jacobian matrix for the steady state problem ... complex matrix involving the Jacobian matrix and an imaginary multiple of the mass matrix...

LINCS
 Referenced in 13 articles
[sw08880]
 terms of matrices, no matrix matrix multiplications are needed and only the nonzero matrix elements...

DVDSON
 Referenced in 13 articles
[sw17845]
 algorithm by adopting several extensions. The matrixvector multiplication routine that it requires ... efficient sparse matrix representation and a matrixvector multiplication are given. Some comparisons with...

SMMP
 Referenced in 9 articles
[sw13166]
 Sparse matrix multiplication package (SMMP). Routines callable from Fortran and C are described which implement ... matrixmatrix multiplication and transposition for a variety of sparse matrix formats. Conversion routines between...

LSTRS
 Referenced in 14 articles
[sw04729]
 form of a matrixvector multiplication routine. Therefore, the implementation preserves the matrixfree nature...

FFPack
 Referenced in 6 articles
[sw00283]
 FFLAS project has established that exact matrix multiplication over finite fields can be performed ... algorithms have been reduced to use matrix multiplication in order to be able to prove...

LSRN
 Referenced in 10 articles
[sw09555]
 involved only in matrixmatrix and matrixvector multiplications, it can be a dense...

Sparsity
 Referenced in 10 articles
[sw08686]
 Framework for Sparse Matrix Kernels. Sparse matrix–vector multiplication is an important computational kernel that ... zero structure of the matrix. The SPARSITY system is designed to address these problems ... times a dense vector and a sparse matrix times a set of dense vectors ... important when the vector used in multiplication is larger than the cache size, especially...