Applicative parallelism on a shared-memory multiprocessor

Oldehoeft, R. R.; Cann, D.C.

doi:10.1109/52.1995

Cited by 27 publications

(3 citation statements)

References 2 publications

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“…Although it is not as widely known now, Sisal translator and run-time support software are still available for Unix based systems and can be obtained from the web at http://sisal.sourceforge.net/. Sisal 2.0 provided multi-tasking (or multithreading) to support dataflow-style parallelism on conventional shared memory multiprocessors (4).…”

Section: Final Summentioning

confidence: 99%

Dataflow Computers: Their History and Future

Hurson

Kavi

2007

Wiley Encyclopedia of Computer Science and Engineering

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The dataflow model of computation offers an attractive alternative to control‐flow in extracting parallelism from programs. The execution of a dataflow instruction is based on the availability of its operand(s); hence, the synchronization of parallel activities is implicit in the dataflow model. Instructions in dataflow model do not impose any constraints on sequencing except for the data dependencies in the program. The elegant representation of concurrency in dataflow computation led to considerable interest in dataflow modes over the past three decades. These efforts have led to successively more elaborate architechtural implementations of the model. However, studies form past projects have revealed a number of inefficiencies in dataflow computing. Recent advances that may address these deficiencies have generated a renewed interest in dataflow. In this article we will survey the various issues and developments in dataflow computing.

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Section: Final Summentioning

confidence: 99%

Dataflow Computers: Their History and Future

Hurson

Kavi

2007

Wiley Encyclopedia of Computer Science and Engineering

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“…Further discussion can be found in Ref. 10. Our goal is to execute higher-order and non-strict functional languages.…”

Section: Non-strict Semanticsmentioning

confidence: 99%

Multiprocessor execution of functional programs

Goldberg

1988

Int J Parallel Prog

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Functional languages have recently gained attention as vehicles for programming in a concise and elegant manner. In addition, it has been suggested that functional programming provides a natural methodology for programming multiprocessor computers. This paper describes research that was performed to demonstrate that multiproeessor execution of functional programs on current multiprocessors is feasible, and results in a significant reduction in their execution times.Two implementations of the functional language ALFL were built on com-

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“…While native code translations of SISAL programs available on a variety of systems [6] execute much faster than any interpreter could run, the compiler was not competitive with those for conventional languages on sequential machines, or with hand-parallelized programs on multiprocessors [20]. The group set two goals:…”

Section: Efficient Processingmentioning

confidence: 99%

Parallel Functional Computation

Oldehoeft¹

1989

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Applicative parallelism on a shared-memory multiprocessor

Cited by 27 publications

References 2 publications

Dataflow Computers: Their History and Future

Dataflow Computers: Their History and Future

Multiprocessor execution of functional programs

Parallel Functional Computation

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