ABCLib_DRSSED: A parallel eigensolver with an auto-tuning facility

被引：19
|
作者：
Katagiri, T
Kise, K
Honda, H
Yuba, T
机构：
[1] Univ Electrocommun, Grad Sch Informat Syst, Tokyo 1828585, Japan
[2] Japan Sci & Technol Agcy, PRESTO, Tokyo 1828585, Japan
来源：
PARALLEL COMPUTING | 2006年 / 32卷 / 03期
基金：
日本科学技术振兴机构;
关键词：
ABCLib; auto-tuning facility; FIBER; sampling point; load-balancer;
D O I：
10.1016/j.parco.2005.10.002
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Conventional auto-tuning numerical software has the drawbacks of (1) fixed sampling points for the performance estimation, (2) inadequate adaptation to heterogeneous environments. To solve these drawbacks, we developed ABCLib(-)DRSSED, which is a parallel eigensolver with an auto-tuning facility. ABCLib(-)DRSSED has (1) functions based on the sampling points which are constructed with an end-user interface; (2) a load-balancer for the data to be distributed; (3) a new auto-tuning optimization timing called Before Execute-time Optimization (BEO). In our performance evaluation of the BEO, we obtained speedup factors from 10% to 90%, and 340% in the case of a failed estimation. In the evaluation of the load-balancer, the performance was 220% improved. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：231 / 250
页数：20
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