Add to ORKGThis paper discusses the design and the implementation of the LU factorization routines included in the Heterogeneous ScaLAPACK library, which is built on top of ScaLAPACK. These routines are used in the factorization and solution of a dense system of linear equations. They are implemented using optimized PBLAS, BLACS and BLAS libraries for heterogeneous computational clusters. We present the details of the implementation as well as performance results on a heterogeneous computing cluster. 1
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
This article discusses the core factorization routines included in the ScaLAPACK library. These rout...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
AbstractThis paper describes our progressindeveloping softwarefor performing parallelLUfactorization...
This paper presents some works on the LU factorization from the ScaLAPACK library. First, a complexi...
(eng) In this paper, we deal with algorithmic issues on heterogeneous platforms. We concentrate on d...
This paper describes the design and implementation of three core factorization routines--LU, QR and ...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
This paper considers key ideas in the design of out-of-core dense LU factorization routines. A left...
AbstractThis paper considers key ideas in the design of out-of-core dense LU factorization routines....
Most supercomputers are shipped with both a CPU and a GPU. With the powerful parallel computing capa...
This paper discusses some algorithmic issues when computing with a heterogeneous network of workstat...
National audienceIn this paper, we deal with algorithmic issues on heterogeneous platforms. We conce...
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...
This article discusses the core factorization routines included in the ScaLAPACK library. These rout...
This paper describes the design and the implementation of parallel routines in the Heterogeneous Sca...
AbstractThis paper describes our progressindeveloping softwarefor performing parallelLUfactorization...
This paper presents some works on the LU factorization from the ScaLAPACK library. First, a complexi...
(eng) In this paper, we deal with algorithmic issues on heterogeneous platforms. We concentrate on d...
This paper describes the design and implementation of three core factorization routines--LU, QR and ...
This paper discusses the scalability of Cholesky, LU, and QR factorization routines on MIMD distribu...
This paper considers key ideas in the design of out-of-core dense LU factorization routines. A left...
AbstractThis paper considers key ideas in the design of out-of-core dense LU factorization routines....
Most supercomputers are shipped with both a CPU and a GPU. With the powerful parallel computing capa...
This paper discusses some algorithmic issues when computing with a heterogeneous network of workstat...
National audienceIn this paper, we deal with algorithmic issues on heterogeneous platforms. We conce...
The ScaLAPACK library for parallel dense matrix computations is built on top of the BLACS communicat...
Abstract. The paper presents a tool that ports ScaLAPACK programs designed to run on massively paral...
This paper presents a package, called Heterogeneous PBLAS (HeteroPBLAS), which is built on top of PB...