Novel runtime systems support for adaptive compositional modeling in PSEs

  • Authors:
  • Srinidhi Varadarajan;Naren Ramakrishnan

  • Affiliations:
  • Department of Computer Science, Virginia Tech., Blacksburg, VA 24061, USA;Department of Computer Science, Virginia Tech., Blacksburg, VA 24061, USA

  • Venue:
  • Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
  • Year:
  • 2005

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Abstract

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.