Abstract: Preliminary Report for a High Precision Distributed Memory Parallel Eigenvalue Solver

Toshiyuki Imamura, S. Yamada, M. Machida
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引用次数: 1

Abstract

This study covers the design and implementation of a DD (double-double) extended parallel eigenvalue solver, namely QPEigenK. We extended most of underlying numerical software layers from BLAS, LAPACK, and ScaLAPACK as well as MPI. Preliminary results show that QPEigenK performs on several platforms, and shows good accuracy and parallel efficiency. We can conclude that the DD format is reasonable data format instead of real (16) format from the viewpoint of programming and performance.
高精度分布式存储器并行特征值求解器初步研究
本研究涵盖了双双扩展并行特征值求解器QPEigenK的设计与实现。我们从BLAS、LAPACK和ScaLAPACK以及MPI扩展了大多数底层数值软件层。初步结果表明,QPEigenK可以在多个平台上运行,具有良好的精度和并行效率。从编程和性能的角度来看,DD格式是合理的数据格式,而不是真实的(16)格式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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