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arXiv.org e-Print Archive
Preprint . 2014
Data sources: arXiv.org e-Print Archive
https://dx.doi.org/10.48550/ar...
Article . 2014
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Templet: a Markup Language for Concurrent Programming

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2014Embargo end date: 01 Jan 2014Publisher:arXiv
Authors: Vostokin, Sergey;

doi: 10.48550/arxiv.1412.0981

arXiv: 1412.0981

Templet: a Markup Language for Concurrent Programming

Abstract

In this paper we propose a new approach to the description of a network of interacting processes in a traditional programming language. Special programming languages or extensions to sequential languages are usually designed to express the semantics of concurrent execution. Using libraries in C++, Java, C#, and other languages is more practical way of concurrent programming. However, this method leads to an increase in workload of a manual coding. Besides, stock compilers can not detect semantic errors related to the programming model in such libraries. The new markup language and a special technique of automatic programming based on the marked code can solve these problems. The article provides a detailed specification of the markup language without discussing its implementation details. The language is used for programming of current and prospective multi-core and many-core systems.

13 pages

Keywords

FOS: Computer and information sciences, D.1.3, Computer Science - Programming Languages, D.3.2; D.1.3, Computer Science - Distributed, Parallel, and Cluster Computing, D.3.2, 68N15, Distributed, Parallel, and Cluster Computing (cs.DC), Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green