Modeling Parallel, Distributed Computations using ParaDiGM - A Case Study: the Adaptive Global Optimization Algorithm
COLORADO UNIV AT BOULDER DEPT OF COMPUTER SCIENCE
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ParaDiGM the Parallel Distributed computation Graph Model, was designed to model implementations of parallel computations to be run on distributed message-based computer systems. We have used it to model two implementations of a complex adaptive parallel global optimization algorithm. In this paper, we introduce the ParaDiGM constructs, describe the algorithm, and then present the models of the implementations. These examples illustrate ParaDiGMs utility as a modeling formalism for representing and studying implementations of parallel, distributed algorithms.
- Statistics and Probability
- Computer Programming and Software