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DOE OSTI · 1400403

Evolution of a minimal parallel programming model

Lusk, Ewing·Butler, Ralph·Pieper, Steven C.
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Abstract

Here, we take a historical approach to our presentation of self-scheduled task parallelism, a programming model with its origins in early irregular and nondeterministic computations encountered in automated theorem proving and logic programming. We show how an extremely simple task model has evolved into a system, asynchronous dynamic load balancing (ADLB), and a scalable implementation capable of supporting sophisticated applications on today’s (and tomorrow’s) largest supercomputers; and we illustrate the use of ADLB with a Green’s function Monte Carlo application, a modern, mature nuclear physics code in production use. Our lesson is that by surrendering a certain amount of generality and thus applicability, a minimal programming model (in terms of its basic concepts and the size of its application programmer interface) can achieve extreme scalability without introducing complexity.

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Lusk, Ewing, Butler, Ralph, Pieper, Steven C.. 2017-04-30. Evolution of a minimal parallel programming model. https://doi.org/10.1177/1094342017703448

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