Add to ORKG(eng) In this paper, we study the implementation of dense linear algebra kernels, such as matrix multiplication on 2D grids with homogeneous processors when the communication links between the processors are heterogeneous (i.e. the time to transfer a block of the matrix between two processors depends on these processors). We prove that finding the best allocation of the processors into a grid, with respect to the minimization of the communication overhead, is a NP-complete problem
AbstractÐIn this paper, we address the issue of implementing matrix multiplication on heterogeneous ...
The problem of partitioning dense matrices into sets of sub-matrices has received increased attentio...
Dense linear systems of equations are quite common in science and engineering, arising in boundary e...
In this paper, we study the implementation of dense linear algebra kernels, such as matrix multiplic...
We study the implementation of dense linear algebra computations, such as matrix multiplication and ...
International audienceWe study the implementation of dense linear algebra computations, such as matr...
In this paper, we deal with redistribution issues for dense linear algebra kernels on heterogeneous ...
(eng) In this paper, we deal with redistribution issues for dense linear algebra kernels on heteroge...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15837 / INIST-CNRS ...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
International audienceThis paper adresses static resource allocation problems for irregular distribu...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15492 / INIST-CNRS ...
In this paper, we consider the problem of partitioning a square into a set of zones of prescribed ar...
Future computing platforms will be distributed and heterogeneous. Such platforms range from heteroge...
AbstractÐIn this paper, we address the issue of implementing matrix multiplication on heterogeneous ...
The problem of partitioning dense matrices into sets of sub-matrices has received increased attentio...
Dense linear systems of equations are quite common in science and engineering, arising in boundary e...
In this paper, we study the implementation of dense linear algebra kernels, such as matrix multiplic...
We study the implementation of dense linear algebra computations, such as matrix multiplication and ...
International audienceWe study the implementation of dense linear algebra computations, such as matr...
In this paper, we deal with redistribution issues for dense linear algebra kernels on heterogeneous ...
(eng) In this paper, we deal with redistribution issues for dense linear algebra kernels on heteroge...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15837 / INIST-CNRS ...
Dense linear algebra computations are essential to nearly every problem in scientific computing and ...
International audienceThis paper adresses static resource allocation problems for irregular distribu...
This paper presents and analyzes two different strategies of heterogeneous distribution of computati...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15492 / INIST-CNRS ...
In this paper, we consider the problem of partitioning a square into a set of zones of prescribed ar...
Future computing platforms will be distributed and heterogeneous. Such platforms range from heteroge...
AbstractÐIn this paper, we address the issue of implementing matrix multiplication on heterogeneous ...
The problem of partitioning dense matrices into sets of sub-matrices has received increased attentio...
Dense linear systems of equations are quite common in science and engineering, arising in boundary e...