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

页码：878 / 895

页数：18

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