SC Conference - Activity Details
Comparative Study of One-Sided Factorizations with Multiple Software Packages on Multi-Core Hardware
Authors:| Emmanuel Agullo (University of Tennessee, Knoxville) |
| Bilel Hadri (University of Tennessee, Knoxville) |
| Hatem Ltaief (University of Tennessee, Knoxville) |
| Jack Dongarra (University of Tennessee, Knoxville) |
| System Performance Evaluation |
| Thursday, 02:30PM - 03:00PM |
| Room PB256 |
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). The performance results show
improvements brought by new algorithms on up to 32 cores - the largest
multi-core system we could access.
The full paper can be found in the
ACM Digital Library and IEEE Computer Society
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