Architecture framework for mapping parallel algorithms to parallel computing platforms

Series

Abstract

Mapping parallel algorithms to parallel computing platforms requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform, and the mapping of the algorithm to the logical configuration platform. Unfortunately, in current parallel computing approaches there does not seem to be precise modeling approaches for supporting the mapping process. The lack of a clear and precise modeling approach for parallel computing impedes the communication and analysis of the decisions for supporting the mapping of parallel algorithms to parallel computing platforms. In this paper we present an architecture framework for modeling the various views that are related to the mapping process. An architectural framework organizes and structures the proposed architectural viewpoints. We propose five coherent set of viewpoints for supporting the mapping of parallel algorithms to parallel computing platforms. We illustrate the architecture framework for the mapping of array increment algorithm to the parallel computing platform. Copyright © 2013 for the individual papers by the papers' authors.

Source Title

CEUR Workshop Proceedings

Publisher

CEUR-WS

Course

Other identifiers

Book Title

Keywords

Domain specific language, High performance computing, Model driven software development, Modelling, Parallel programming, Cloud computing, Computational linguistics, Computer programming languages, Distributed computer systems, Mapping, Modeling languages, Models, Parallel algorithms, Parallel architectures, Parallel programming, Problem oriented languages, Software design, Architectural frameworks, Architectural viewpoints, Architecture frameworks, Domain specific languages, High performance computing, Model-Driven Software Development, Parallel computing platform, Precise modeling, Algorithms

Degree Discipline

Degree Level

Degree Name

Citation

Published Version (Please cite this version)

Language

English