多核硬件上多软件包单侧分解的比较研究

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis Pub Date : 2009-11-14 DOI:10.1145/1654059.1654080

E. Agullo, B. Hadri, H. Ltaief, J. Dongarra

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引用次数: 84

摘要

多核架构的出现和持续使用需要对现有软件进行更改，有时甚至需要重新设计已建立的算法，以便利用现在流行的并行性。面向可扩展多核体系结构的并行线性代数(PLASMA)是一个旨在在广泛的多核体系结构中实现高性能和可移植性的项目。在本文中，我们对等离子体的性能与已建立的线性代数包(LAPACK和ScaLAPACK)，与并行执行的新方法(基于任务的线性代数子程序- TBLAS)以及等效的商业软件产品(MKL, ESSL和PESSL)进行了比较研究。我们的实验是在单侧线性代数分解(LU, QR和Cholesky)上进行的，并使用多核架构(基于Intel Xeon EMT64和IBM Power6)。例如，在使用32个内核对4000阶矩阵进行Cholesky分解时，性能提高了67%。

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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 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.

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Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis

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