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This article describes basic programming technology to support irregular applications on scalable concurrent hardware and shows how the technology has been applied to a variety of large-scale industrial application problems. The technology is based on the concept of a concurrent graph library that provides an adaptive collection of light-weight threads that may relocate between computers dynamically. The graph is portable to a wide range of high-performance multicomputers, shared-memory multiprocessors, and networked workstations. For each machine it is optimized to take advantage of the best available underlying communication and synchronization mechanisms. The graph provides a framework for adaptive refinement of computations, automatic load balancing, and interactive, on-the-fly visualization. It has been applied to a variety of large scale irregular applications to provide portable, scalable implementations with substantial code reuse. The applications described in this article typify a broad category of problems in continuum and non-continuum flow simulations.
adaptive computation, computational fluid dynamics, load balancing, parallel programming libraries, plasma/particle simulation, visualization.
Michael E. Palmer, Stephen Taylor, Jerrell R. Watts, Marc A. Rieffel, "The Concurrent Graph: Basic Technology for Irregular Problems", IEEE Concurrency (out of print), vol. 4, no. , pp. 15-25, Summer 1996, doi:10.1109/88.494601
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