Abstract. Matrix{matrix multiplication is normally computed using one of the BLAS or a reinvention of part of the BLAS. Unfortunately, the BLAS were designed with small matrices in mind. When huge, well conditioned matrices are multiplied together, the BLAS perform like the blahs, even on vector machines. For matrices where the coe cients are well conditioned, Winograd's variant of Strassen's algorithm o ers some relief, but is rarely available in a quality form on most computers. We reconsider this method and o er a highly portable solution based on the Level 3 BLAS interface. Key Words. Level 3 BLAS, matrix multiplication, Winograd's variant of Strassen's algorithm, multilevel algorithm
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
This report presents two new ASSEMBLER-subroutines MULR8 and MULC16 for fast multiplication of espec...
The Fortran--90 standard requires an intrinsic function matmul which multiplies two matrices togethe...
The Level 3 BLAS (BLAS3) are a set of specifications of Fortran 77 subprograms for carrying out mat...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
The level 3 Basic Linear Algebra Subprograms (BLAS) are designed to perform various matrix multiply ...
Abstract. Strassen's algorithm for fast matrix-matrix multiplication has been implemented for m...
Strassen’s matrix multiplication reduces the computational cost of multiplying matrices of size n × ...
A simple but highly effective approach for transforming high-performance implementations on cachebas...
We provide efficient single- and double-precision GPU (Graphics Processing Unit) implementa-tions of...
A scalable parallel algorithm for matrix multiplication on SISAMD computers is presented. Our method...
A scalable parallel algorithm for matrix multiplication on SISAMD computers is presented. Our method...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Abstract: Strassen’s algorithm to multiply two n×n matrices reduces the asymptotic operation count f...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
This report presents two new ASSEMBLER-subroutines MULR8 and MULC16 for fast multiplication of espec...
The Fortran--90 standard requires an intrinsic function matmul which multiplies two matrices togethe...
The Level 3 BLAS (BLAS3) are a set of specifications of Fortran 77 subprograms for carrying out mat...
The Level 3 BLAS (BLAS3) are a set of specifications of FORTRAN 77 subprograms for carrying out matr...
The level 3 Basic Linear Algebra Subprograms (BLAS) are designed to perform various matrix multiply ...
Abstract. Strassen's algorithm for fast matrix-matrix multiplication has been implemented for m...
Strassen’s matrix multiplication reduces the computational cost of multiplying matrices of size n × ...
A simple but highly effective approach for transforming high-performance implementations on cachebas...
We provide efficient single- and double-precision GPU (Graphics Processing Unit) implementa-tions of...
A scalable parallel algorithm for matrix multiplication on SISAMD computers is presented. Our method...
A scalable parallel algorithm for matrix multiplication on SISAMD computers is presented. Our method...
Abstract. Recent advances in computing allow taking new look at ma-trix multiplication, where the ke...
Abstract: Strassen’s algorithm to multiply two n×n matrices reduces the asymptotic operation count f...
A current trend in high-performance computing is to decompose a large linear algebra problem into ba...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
This report presents two new ASSEMBLER-subroutines MULR8 and MULC16 for fast multiplication of espec...