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Applications experience with Linda

Nicholas John Carriero, David Hillel Gelernter

Open publisher page 103 citations

Abstract

We describe three experiments using C-Linda to write parallel codes. The first involves assessing the similarity of DNA sequences. The results demonstrate Linda's flexibility—Linda solutions are presented that work well at two quite different levels of granularity. The second uses a prime finder to illustrate a class of algorithms that do not (easily) submit to automatic parallelizers, but can be parallelized in straight-forward fashion using C-Linda. The final experiment describes the process lattice model, an “inherently” parallel application that is naturally conceived as multiple interacting processes. Taken together, the experience described here bolsters our claim that Linda can bridge the gap between the growing collection of parallel hardware and users eager to exploit parallelism.

About this research paper

What this paper is about

We describe three experiments using C-Linda to write parallel codes. The first involves assessing the similarity of DNA sequences. The results demonstrate Linda's flexibility—Linda solutions are presented that work well at two quite different levels of granularity. The second uses a prime finder to illustrate a class of algorithms that do not (easily) submit to automatic parallelizers, but can be parallelized in straight-forward fashion using C-Linda. The final experiment describes the process lattice model, an “inherently” parallel application that is naturally conceived as multiple interacting processes. Taken together, the experience described here bolsters our claim that Linda can bridge the gap between the growing collection of parallel hardware and users eager to exploit parallelism.

Why it matters

OpenAlex reports 103 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

We describe three experiments using C-Linda to write parallel codes. The first involves assessing the similarity of DNA sequences. The results demonstrate Linda's flexibility—Linda solutions are presented that work well at two quite different levels of granularity. The second uses a prime finder to illustrate a class of algorithms that do not (easily) submit to automatic parallelizers, but can be parallelized in straight-forward fashion using C-Linda. The final experiment describes the process lattice model, an “inherently” parallel application that is naturally conceived as multiple interacting processes. Taken together, the experience described here bolsters our claim that Linda can bridge the gap between the growing collection of parallel hardware and users eager to exploit parallelism.

Key concepts: Computer science, Software engineering, Human–computer interaction

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