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International Journal of High Performance Computing Applications
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1094342009347497v1
23/4/344    most recent
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Programming Models at Exascale: Adaptive Runtime Systems, Incomplete Simple Languages, and Interoperability

Laxmikant Kale

PARALLEL PROGRAMMING LABORATORY, SIEBEL CENTER FOR COMPUTER SCIENCE, UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN, USA, KALE{at}ILLINOIS.EDU

Applications running on exascale machines will be complex in many ways. They will involve dynamic and adaptive refinements, and will be composed of multiple, independently developed modules, often involving a multiphysics simulation. The programming models of this era must have several characteristics. First, they need to do away with the notion of processors, and automate resource management via adaptive runtime systems. Data structure-specific frameworks and domain-specific environments will be needed to further simplify programming. More importantly, parallel mini-languages need to be developed, such that each language captures only a restricted subset of possible parallel interactions, but allows for a simple expression of them. Coupled with interoperability and parallel composition, which must be supported in many ways, including message-driven runtime systems, this will create a productive ecosystem of parallel programming models for the exascale era.

Key Words: parallel programming models • exascale • adaptive runtime systems • interoperability • compositionality

This version was published on November 1, 2009

International Journal of High Performance Computing Applications, Vol. 23, No. 4, 344-346 (2009)
DOI: 10.1177/1094342009347497
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