Scalable Dense Factorizations for Heterogeneous Computational Clusters

Author

Manumachu, R.R. ; Lastovetsky, Alexey ; Alonso, Pedro

Author_Institution

Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland

fYear

2008

fDate

1-5 July 2008

Firstpage

49

Lastpage

56

Abstract

This 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.

Keywords

mathematics computing; matrix decomposition; parallel programming; software libraries; software packages; LU factorization; heterogeneous ScaLAPACK library; heterogeneous computational clusters; linear equations; scalable dense factorizations; Computer networks; Computer science; Concurrent computing; Distributed computing; Educational institutions; Equations; Informatics; Information systems; Libraries; Linear algebra; HeteroMPI; Heterogeneous PBLAS; Heterogeneous ScaLAPACK; Heterogeneous parallel computing; MPI; PBLAS; ScaLAPACK; mpC;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, 2008. ISPDC '08. International Symposium on

Conference_Location

Krakow

Print_ISBN

978-0-7695-3472-5

Type

conf

DOI

10.1109/ISPDC.2008.10

Filename

4724229