Toward a model for shared data abstraction with performance

D.M. Goodeve

doi:10.1006/jpdc.1998.1427

1998-02-01

PRE

Christopher P. Wadsworth

DOI：10.1006/jpdc.1998.1427

原文链接

原文求助

摘要

En 中文

This paper demonstrates the utility of typed shared data abstractions as an effective high-level means of structuring and coordinating parallel programs. Access to data shared by concurrent processes is expressed through operations of shared abstract data types (SADTs), SADTs abstract low-level concerns of communication and synchronization. The exposition addresses two major challenges: mismatches between representations and actual patterns of usage, and over-specified coherence. A prototype library of SADTs provides a set of implementations for each SADT, supporting stereotypical usage patterns and allowing exploitation of weakened coherence protocols, The efficacy of this approach is demonstrated on both a network of workstations and a dedicated massively parallel computer. A fine-grained irregular task-parallel computation obtained a speedup of 156 on a 256-processor Gray T3D, showing that the high levels of abstraction afforded by SADTs are compatible with efficient and scalable implementation. (C) 1998 Academic Press.