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Concurrent Aggregates (CA): An Object-Oriented Language for Fine-Grained Message-Passing Machines

Author(s)
Chien, Andrew Andai
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Abstract
Fine-grained parallel machines have the potential for very high speed computation. To program massively-concurrent MIMD machines, programmers need tools for managing complexity. These tools should not restrict program concurrency. Concurrent Aggregates (CA) provides multiple-access data abstraction tools, Aggregates, which can be used to implement abstractions with virtually unlimited potential for concurrency. Such tools allow programmers to modularize programs without reducing concurrency. I describe the design, motivation, implementation and evaluation of Concurrent Aggregates. CA has been used to construct a number of application programs. Multi-access data abstractions are found to be useful in constructing highly concurrent programs.
Date issued
1990-07-01
URI
http://hdl.handle.net/1721.1/7037
Other identifiers
AITR-1248
Series/Report no.
AITR-1248

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  • AI Technical Reports (1964 - 2004)

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