
LAPACK
 Referenced in 1222 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 65 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 280 articles
[sw04004]
 product and matrixvector residuals (interpreted, reference implementation, slow) multiple precision interval arithmetic with error...

TRLan
 Referenced in 44 articles
[sw04029]
 choose to implement or use a matrixvector multiplication routine in any form convenient. Most...

RestoreTools
 Referenced in 43 articles
[sw04822]
 image restoration methods, implementation of efficient matrix vector multiplication, and linear system solves for preconditioners...

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...

FFLASFFPACK
 Referenced in 15 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...

MA57
 Referenced in 51 articles
[sw00536]
 matrix modification, partial solution for matrix factors, solution of multiple righthand sides, and iterative...

LINCS
 Referenced in 17 articles
[sw08880]
 terms of matrices, no matrix matrix multiplications are needed and only the nonzero matrix elements...

MadGraph
 Referenced in 77 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...

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...

SMMP
 Referenced in 11 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...

ClustalW
 Referenced in 71 articles
[sw12016]
 progressive multiple sequence alignment through sequence weighting, positionspecific gap penalties and weight matrix choice...

KronFit
 Referenced in 15 articles
[sw20428]
 exploiting the structure of Kronecker matrix multiplication and by using statistical simulation techniques. Experiments...

DVDSON
 Referenced in 14 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...

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...

LSTRS
 Referenced in 17 articles
[sw04729]
 form of a matrixvector multiplication routine. Therefore, the implementation preserves the matrixfree nature...

Sparsity
 Referenced in 11 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...