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Parallel Patterns + Macro Data Flow for Multi-core Programming

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5 Author(s)
Aldinucci, M. ; Dept. Comput. Sci., Univ. of Torino, Turino, Italy ; Anardu, L. ; Danelutto, M. ; Torquati, M.
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Data flow techniques have been around since the early '70s when they were used in compilers for sequential languages. Shortly after their introduction they were also considered as a possible model for parallel computing, although the impact here was limited. Recently, however, data flow has been identified as a candidate for efficient implementation of various programming models on multi-core architectures. In most cases, however, the burden of determining data flow ``macro'' instructions is left to the programmer, while the compiler/run time system manages only the efficient scheduling of these instructions. We discuss a structured parallel programming approach supporting automatic compilation of programs to macro data flow and we show experimental results demonstrating the feasibility of the approach and the efficiency of the resulting ``object'' code on different classes of state-of-the-art multi-core architectures. The experimental results use different base mechanisms to implement the macro data flow run time support, from plain pthreads with condition variables to more modern and effective lock- and fence-free parallel frameworks. Experimental results comparing efficiency of the proposed approach with those achieved using other, more classical, parallel frameworks are also presented.

Published in:

Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on

Date of Conference:

15-17 Feb. 2012