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question:which-parallel-language-should-be-used-for-new-compute-intensive-applications

Which parallel language should be used for new compute-intensive applications?

Motivating question for the paper's comparative analysis of parallel programming approaches.

Source paper

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Linda in context

(1989) · Carrier, Nicholas · Gelernter, David

Neighborhood — ranked by edge-count

Claims (1)

claim

Linda is a simpler, more powerful and more elegant model than any of these four alternatives (message-passing, concurrent objects, logic languages, functional).
gates
The central thesis of the paper, stated explicitly in the introduction.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Pure functional languages cannot be the whole story for parallel programming because they fail to provide needed expressivity.claim0.740
Argument that recursion equations are inappropriate for many important parallel programs.
Parallel Programmingconcept0.738
A fast implementation of this primitive, possibly in hardware, could be the basis of efficient and compact implementations of a diverse range of programming language semantics and data structures.claim0.736
Claim that hardware-supported associative lookup would enable high-performance dynamic language runtimes.
Parallel programming needn't be terribly difficult, but 'thinking in simultaneities' as in message-passing is calculated to make it difficult.claim0.734
Asserts that Linda's uncoupled style reduces cognitive load.
Object-oriented programming is powerful and attractive, but irrelevant to parallelism.claim0.734
Claim that OOP per se does not solve any parallel programming problems.
Object-oriented concepts are irrelevant to solving parallel programming challenges.claim0.731
Strong assertion that the enthusiasm for 'concurrent object-oriented programming' is misplaced; objects do not inherently help with parallelism.
Are the operations that create and control parallelism best left in the programmer’s hands, or should they be turned over to the compiler?question0.725
Central design question underlying the comparison with functional approaches.
Concurrent Object-Oriented Programmingframework0.725
A major competing approach to parallel programming based on instantiating objects with embedded active processes and monitors for synchronization.