ScholarLens Back to search
2003•Unpublished venueRequires access

Semantics of Minimally Synchronous Parallel ML.

Myrto Arapinis, Frédéric Loulergue, Frédéric Gava, Frédéric Dabrowski

Open publisher page 2 citations

Abstract

This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. It shares with Bulk Synchronous Parallel ML its syntax and high-level semantics but it has a minimally synchronous distributed semantics. Programs are written as usual ML programs but using a small set of additional functions. Provided functions are used to access the parameters of the parallel machine and to create and operate on a parallel data structure. It follows the cost model of the Message Passing Machine model (MPM). 1.

About this research paper

What this paper is about

This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. It shares with Bulk Synchronous Parallel ML its syntax and high-level semantics but it has a minimally synchronous distributed semantics. Programs are written as usual ML programs but using a small set of additional functions. Provided functions are used to access the parameters of the parallel machine and to create and operate on a parallel data structure. It follows the cost model of the Message Passing Machine model (MPM). 1.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents a new functional parallel language: Minimally Synchronous Parallel ML. The execution time can then be estimated and dead-locks and indeterminism are avoided. It shares with Bulk Synchronous Parallel ML its syntax and high-level semantics but it has a minimally synchronous distributed semantics. Programs are written as usual ML programs but using a small set of additional functions. Provided functions are used to access the parameters of the parallel machine and to create and operate on a parallel data structure. It follows the cost model of the Message Passing Machine model (MPM). 1.

Key concepts: Computer science, Semantics (computer science), Syntax, Bulk synchronous parallel, Programming language, Parallel computing, Set (abstract data type), Operational semantics

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Semantics of Minimally Synchronous Parallel ML. — Research Paper | ScholarLens