Comparative study of one-sided factorizations with multiple software packages on multi-core hardware

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...

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Bibliographic Details
Published in:Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis pp. 1 - 12
Main Authors: Agullo, Emmanuel, Hadri, Bilel, Ltaief, Hatem, Dongarrra, Jack
Format: Conference Proceeding
Language:English
Published: New York, NY, USA ACM 14.11.2009
Series:ACM Conferences
Subjects:
Computer architecture
Computer systems organization > Architectures > Distributed architectures > Grid computing
Computer systems organization > Architectures > Parallel architectures > Multicore architectures
Computer systems organization > Architectures > Serial architectures > Superscalar architectures
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Computing methodologies > Modeling and simulation > Simulation types and techniques > Massively parallel and high-performance simulations
Computing methodologies > Parallel computing methodologies > Parallel algorithms
Computing methodologies > Parallel computing methodologies > Parallel programming languages
Computing methodologies > Symbolic and algebraic manipulation > Symbolic and algebraic algorithms > Linear algebra algorithms
Hardware
Libraries
Linear algebra
Mathematics of computing > Mathematical analysis > Numerical analysis > Computations on matrices
Mathematics of computing > Mathematical analysis > Numerical analysis > Number-theoretic computations
Memory management
Parallel processing
Plasmas
Servers
Software
Software algorithms
Software and its engineering > Software notations and tools > General programming languages > Language types > Parallel programming languages
Software and its engineering > Software organization and properties > Software system structures > Distributed systems organizing principles > Grid computing
Theory of computation > Design and analysis of algorithms > Parallel algorithms
ISBN:1605587443, 9781605587448
ISSN:2167-4329
Online Access:Get full text
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Summary: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.
ISBN:1605587443
9781605587448
ISSN:2167-4329
DOI:10.1145/1654059.1654080