Novel runtime systems support for adaptive compositional modeling in PSEs

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.