SPar: A DSL for High-Level and Productive Stream Parallelism

Author:

Griebler Dalvan1,Danelutto Marco2,Torquati Massimo2,Fernandes Luiz Gustavo1

Affiliation:

1. Pontifical Catholic University of Rio Grande do Sul (PUCRS), Faculty of Informatics, Computer Science Graduate Program (PPGCC), Parallel Application Modeling Group (GMAP) Av. Ipiranga, 6681 – Building 32 – Porto Alegre – CEP: 90619-900, Brazil

2. University of Pisa (UNIPI), Department of Computer Science, Parallel Programming Models Group, Largo Pontecorvo 3, 56127 PISA, Italy

Abstract

This paper introduces SPar, an internal C++ Domain-Specific Language (DSL) that supports the development of classic stream parallel applications. The DSL uses standard C++ attributes to introduce annotations tagging the notable components of stream parallel applications: stream sources and stream processing stages. A set of tools process SPar code (C++ annotated code using the SPar attributes) to generate FastFlow C++ code that exploits the stream parallelism denoted by SPar annotations while targeting shared memory multi-core architectures. We outline the main SPar features along with the main implementation techniques and tools. Also, we show the results of experiments assessing the feasibility of the entire approach as well as SPar’s performance and expressiveness.

Publisher

World Scientific Pub Co Pte Lt

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference3 articles.

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