Add to ORKGA framework for high-performance matrix multiplication based on hierarchical abstractions, algorithms and optimized low-level kernel
Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
A novel parallel algorithm for matrix multiplication is presented. It is based on a 1-D hyper-systol...
Architecture for dense matrix multiplication on a high-performance reconfigurable syste
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Many matrices in scientific computing, statistical inference, and machine learning exhibit sparse an...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
During the last half-decade, a number of research efforts have centered around developing software f...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
A simple but highly effective approach for transforming high-performance implementations on cachebas...
Abstract. We consider the realization of matrix-matrix multiplication and propose a hierarchical alg...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
A novel parallel algorithm for matrix multiplication is presented. It is based on a 1-D hyper-systol...
Architecture for dense matrix multiplication on a high-performance reconfigurable syste
Matrix multiplication (MM) is a computationally-intensive operation in many algorithms used in scien...
Many matrices in scientific computing, statistical inference, and machine learning exhibit sparse an...
AbstractIn this article, we present a fast algorithm for matrix multiplication optimized for recent ...
During the last half-decade, a number of research efforts have centered around developing software f...
BLIS is a new framework for rapid instantiation of the BLAS. We describe how BLIS extends the “GotoB...
Matrix-matrix multiplication is one of the core computations in many algorithms from scientific comp...
A simple but highly effective approach for transforming high-performance implementations on cachebas...
Abstract. We consider the realization of matrix-matrix multiplication and propose a hierarchical alg...
This report deals with the ecient calculation of matrix-matrix multiplication, without using explici...
This report has been developed over the work done in the deliverable [Nava94] There it was shown tha...
This paper talks about different types of algorithms fro matrix multiplication when applied to paral...
Hierarchical matrix (H-matrix) techniques can be used to efficiently treat dense matrices. With an H...
We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using Ope...
A novel parallel algorithm for matrix multiplication is presented. It is based on a 1-D hyper-systol...