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A compiler approach to scalable concurrent-program design

Authors: Foster, Ian; Taylor, Stephen;

A compiler approach to scalable concurrent-program design

Abstract

We describe a compilation system for the concurrent programming language Program Composition Notation (PCN). This notation provides a single-assignment programming model that permits concurrent-programming concerns such as decomposition, communication, synchronization, mapping, granularity, and load balancing to be addressed separately in a design. PCN is also extensible with programmer-defined operators , allowing common abstractions to be encapsulated and reused in different contexts. The compilation system incorporates a concurrent-transformation system that allows abstractions to be defined through concurrent source-to-source transformations; these convert programmer-defined operators into a core notation. Run-time techniques allow the core notation to be compiled into a simple concurrent abstract machine which can be implemented in a portable fashion using a run-time library. The abstract machine provides a uniform treatment of single-assignment and mutable data structures, allowing data sharing between concurrent and sequential program segments and permitting integration of sequential C and Fortran code into concurrent programs. This compilation system forms part of a program development toolkit that operates on a wide variety of networked workstations, multicomputers, and shared-memory multiprocessors. The toolkit has been used both to develop substantial applications and to teach introductory concurrent-programming classes, including a freshman course at Caltech.

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Keywords

program composition, Monotonicity, programming abstractions, Design, Languages, source-to-source transformations, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
hybrid