Loading...
Please wait, while we are loading the content...
Similar Documents
Comparative study of one-sided factorizations with multiple software packages on multi-core hardware (2009)
| Content Provider | CiteSeerX |
|---|---|
| Author | Agullo, Emmanuel Hadri, Bilel Dongarrra, Jack Ltaief, Hatem |
| Description | The emergence and continuing use of multi-core architectures require changes in the existing software and sometimes even a redesign of the established algorithms in order to take advantage of now prevailing parallelism. The Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) is a project that aims to achieve both high performance and portability across a wide range of multi-core architectures. We present in this paper a comparative study of PLASMA’s performance against established linear algebra packages (LAPACK and ScaLAPACK), against new approaches at parallel execution (Task Based Linear Algebra Subroutines – TBLAS), and against equivalent commercial software offerings (MKL, ESSL and PESSL). Our experiments were conducted on one-sided linear algebra factorizations (LU, QR and Cholesky) and used multi-core architectures (based on Intel Xeon EMT64 and IBM Power6). A performance improvement of 67 % was for instance obtained on the Cholesky factorization of a matrix of order 4000, using 32 cores. 1. In SC |
| File Format | |
| Language | English |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | Intel Xeon Emt64 Comparative Study New Approach Performance Improvement One-sided Factorization Multi-core Architecture Multiple Software Package Wide Range One-sided Linear Algebra Factorization Linear Algebra Subroutine Tblas High Performance Parallel Linear Algebra Parallel Execution Linear Algebra Package Scalable Multi-core Architecture Multi-core Hardware Plasma Performance Equivalent Commercial Software Offering Cholesky Factorization Ibm Power6 |
| Content Type | Text |
| Resource Type | Article |
