This article surveys the current state of applications of large dense numerical linear algebra and the in uence of parallel computing. Furthermore, it attempts to crystallize many important ideas that are sometimes misunderstood in the rush to write fast programs.
Abstract. Over the last century, linear algebra theory and matrix computations became irreplaceable,...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
International audienceIn this talk we will discuss our research activities on the design of parallel...
We survey recent developments in dense numerical linear algebra, covering linear systems, least squa...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
SIGLEAvailable from British Library Document Supply Centre-DSC:6184.6725(288) / BLDSC - British Libr...
We survey general techniques and open problems in numerical linear algebra on parallel architectures...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
The paper presents the novel principle on constructing a new class of highly parallel fast stable nu...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
We provide experimental evidence that current desktop computers feature enough computational power t...
In this article we present a systematic approach to the derivation of families of high-performance a...
Enabling large scale use of GPU-based architectures for high performance computational science depen...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
The aim of this report is to highlight the evolving interaction between computer architecture on the...
Abstract. Over the last century, linear algebra theory and matrix computations became irreplaceable,...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
International audienceIn this talk we will discuss our research activities on the design of parallel...
We survey recent developments in dense numerical linear algebra, covering linear systems, least squa...
AbstractThe increasing availability of advanced-architecture computers has a significant effect on a...
SIGLEAvailable from British Library Document Supply Centre-DSC:6184.6725(288) / BLDSC - British Libr...
We survey general techniques and open problems in numerical linear algebra on parallel architectures...
Abstract: Few realize that, for large matrices, many dense matrix computations achieve nearly the sa...
The paper presents the novel principle on constructing a new class of highly parallel fast stable nu...
textOver the last two decades, much progress has been made in the area of the high-performance sequ...
We provide experimental evidence that current desktop computers feature enough computational power t...
In this article we present a systematic approach to the derivation of families of high-performance a...
Enabling large scale use of GPU-based architectures for high performance computational science depen...
Abstract In this document we present a new approach to developing sequential and parallel dense line...
The aim of this report is to highlight the evolving interaction between computer architecture on the...
Abstract. Over the last century, linear algebra theory and matrix computations became irreplaceable,...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
International audienceIn this talk we will discuss our research activities on the design of parallel...
DOI
Add to ORKG