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.
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