Comparative study of one-sided factorizations with multiple software packages on multi-core hardware
Comparative study of one-sided factorizations with multiple software packages on multi-core hardware
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多核硬件上多软件包单边因式分解的比较研究
DOI：
10.1145/1654059.1654080
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
J. Dongarra
中科院分区：
文献类型：
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作者：
E. Agullo;B. Hadri;H. Ltaief;J. Dongarra
多核架构的出现和持续使用需要改变现有软件，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。可扩展多核架构的并行线性代数 (PLASMA) 是一个旨在跨各种多核架构实现高性能和可移植性的项目。我们在本文中介绍了 PLASMA 与已建立的线性代数包（LAPACK 和 ScaLAPACK）、并行执行新方法（基于任务的线性代数子例程 - TBLAS）以及同等商业软件产品（MKL、ESSL 和 PESSL）的性能比较研究。我们的实验是在单边线性代数分解（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，使用 32 个内核对 4000 阶矩阵进行 Cholesky 分解时，性能提高了 67%。
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.