Matrix-Matrix Multiplication (MMM) is a highly important kernel in linear algebra algorithms and the performance of its implementations depends on the memory utilization and data locality. There are MMM algorithms, such as standard, Strassen–Winograd variant, and many recursive array layouts, such as Z-Morton or U-Morton. However, their data locality is lower than that of the proposed methodology. Moreover, several SOA (state of the art) self-tuning libraries exist, such as ATLAS for MMM algorithm, which tests many MMM implementations. During the installation of ATLAS, on the one hand an extremely complex empirical tuning step is required, and on the other hand a large number of compiler options are used, both of which are not included in t...
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
Abstract—This paper presents a data layout optimization technique for sequential and parallel progra...
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...
International audienceCurrent compilers cannot generate code that can compete with hand-tuned code i...
Current compilers cannot generate code that can compete with hand-tuned code in efficiency, even for...
Strassen's algorithm for matrix multiplication gains its lower arithmetic complexityatthe expe...
Many fast algorithms in arithmetic complexity have hierarchical or recursive structures that make ef...
In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embe...
This paper describes a novel parallel algorithm that implements a dense matrix multiplication operat...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
This is the Accepted Manuscript version of the following article: V. Kelefouras, A Kritikakou I. Mpo...
Submitted for publication to IEEE TPDS The performance of both serial and parallel implementations o...
Low-precision matrix multiplication has gained significant interest in the research community due to...
In this paper, a new methodology for speeding up Matrix–Matrix Multiplication using Single Instruct...
During the last half-decade, a number of research efforts have centered around developing software f...
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
Abstract—This paper presents a data layout optimization technique for sequential and parallel progra...
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...
International audienceCurrent compilers cannot generate code that can compete with hand-tuned code i...
Current compilers cannot generate code that can compete with hand-tuned code in efficiency, even for...
Strassen's algorithm for matrix multiplication gains its lower arithmetic complexityatthe expe...
Many fast algorithms in arithmetic complexity have hierarchical or recursive structures that make ef...
In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embe...
This paper describes a novel parallel algorithm that implements a dense matrix multiplication operat...
Abstract-- In this work, the performance of basic and strassen’s matrix multiplication algorithms ar...
This is the Accepted Manuscript version of the following article: V. Kelefouras, A Kritikakou I. Mpo...
Submitted for publication to IEEE TPDS The performance of both serial and parallel implementations o...
Low-precision matrix multiplication has gained significant interest in the research community due to...
In this paper, a new methodology for speeding up Matrix–Matrix Multiplication using Single Instruct...
During the last half-decade, a number of research efforts have centered around developing software f...
In this paper we demonstrate the practical portability of a simple version of matrix multiplication ...
Abstract—This paper presents a data layout optimization technique for sequential and parallel progra...
Some level-2 and level-3 Distributed Basic Linear Algebra Subroutines (DBLAS) that have been impleme...