Novel runtime systems support for adaptive compositional modeling in PSEs

被引：5
|
作者：
Varadarajan, S [1 ]
Ramakrishnan, N [1 ]
机构：
[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA
来源：
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2005年 / 21卷 / 06期
基金：
美国国家科学基金会;
关键词：
problem solving environments; checkpointing; recommender systems; application composition systems; adaptivity;
D O I：
10.1016/j.future.2003.12.020
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Complex problem solving environments (PSEs) rely on runtime systems support for adaptive composition and control of scientific computations. This paper presents a PSE runtime support solution through a novel combination of two technologies-Weaves, a source language independent parallel compositional framework that operates through reverse-analysis of compiled object files, and runtime recommender systems that aid in dynamic knowledge-based application composition. Domain-specific adaptivity is realized by recommendation of code modules, supported by a sophisticated checkpointing framework for runtime control. A core set of "adaptivity schemas" are provided as templates for adaptive composition of large-scale scientific computations. Implementation issues, motivating application contexts, and preliminary results are described. (c) 2003 Elsevier B.V All rights reserved.
引用
收藏
页码：878 / 895
页数：18
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