Preliminary report for a high precision distributed memory parallel eigenvalue solver

被引：0

作者：

Imamura, Toshiyuki ^{[1
,2
]}

Yamada, Susumu ^{[3
]}

Machida, Masahiko ^{[3
]}

机构：

[1] Univ Electrocommun, Grad Sch Informat & Engn, Chofu, Tokyo 182, Japan

[2] RIKEN, Adv Inst Computat Sci, Kobe, Hyogo, Japan

[3] Japan Atom Energy Agcy, Kashiwa, Chiba, Japan

来源：

2012 SC COMPANION: HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SCC) | 2012年

关键词：

double-double data format; distributed memory parallelism; parallel eigenvalue solver;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1454 / +

页数：2

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