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Lazy parallelization: a finite state machine based optimization approach for data parallel image processing applications

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2 Author(s)
Seinstra, F.J. ; Fac. of Sci., Amsterdam Univ., Netherlands ; Koelma, D.

Performance obtained with existing library-based parallelization tools for implementing high performance image processing applications is often sub-optimal. This is because inter-operation optimization (or: optimization across library calls) is often not incorporated in the library implementations. This paper presents a simple, efficient, finite state machine-based method for global performance optimization, called 'lazy parallelization'. Experimental results based on this approach show significant performance improvements over non-optimized parallel implementations.

Published in:

Parallel and Distributed Processing Symposium, 2003. Proceedings. International

Date of Conference:

22-26 April 2003