Domain specific language for deployment of parallel applications on parallel computing platforms
ACM International Conference Proceeding Series
Association for Computing Machinery
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To increase the computing performance the current trend is towards applying parallel computing in which parallel tasks are executed on multiple nodes. The deployment of tasks on the computing platform usually impacts the overall performance and as such needs to be modelled carefully. In the architecture design community the deployment viewpoint is an important viewpoint to support this mapping process. In general the derived deployment views are visual notations that are not amenable for run-time processing, and do not scale well for deployment of large scale parallel applications. In this paper we propose a domain specific language (DSL) for modeling the deployment of parallel applications and for providing automated support for the deployment process. The DSL is based on a metamodel that is derived after a domain analysis on parallel computing. We illustrate the application of the DSL for a traffic simulation system and provide a set of important scenarios for using the DSL. © 2014 ACM.
Domain Specific Language
Software Language Engineering
Computer programming languages
Parallel processing systems
Domain specific languages
Parallel computing platform
Published Version (Please cite this version)http://dx.doi.org/10.1145/2642803.2642819
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Arkin, E.; Tekinerdogan, B. (CEUR-WS, 2013)One of the important problems in parallel computing is the mapping of the parallel algorithm to the parallel computing platform. Hereby, for each parallel node the corresponding code for the parallel nodes must be implemented. ...
Tekinerdogan, B.; Arkin, E. (CEUR-WS, 2013)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 ...
Model-driven approach for supporting the mapping of parallel algorithms to parallel computing platforms Arkin, E.; Tekinerdogan, B.; Imre, K.M. (2013)The trend from single processor to parallel computer architectures has increased the importance of parallel computing. To support parallel computing it is important to map parallel algorithms to a computing platform that ...