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2006
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Algorithmic skeletons for stream programming in embedded heterogeneous parallel image processing applications

10 years 29 days ago
Algorithmic skeletons for stream programming in embedded heterogeneous parallel image processing applications
Algorithmic skeletons can be used to write architecture independent programs, shielding application developers from the details of a parallel implementation. In this paper, we present a C-like skeleton implementation language, PEPCI, that uses term rewriting and partial evaluation to specify skeletons for parallel C dialects. By using skeletons to control the iteration of kernel functions, we provide a stream programming language that is better tailored to the user as well as the underlying architecture. Skeleton merging allows us to reduce the overheads usually associated with breaking an application into small kernels. We have implemented an example image processing application on a heterogeneous embedded prototype platform consisting of an SIMD and ILP processor, and show that a significant speedup can be achieved without requiring knowledge of data parallel processing.
Wouter Caarls, Pieter P. Jonker, Henk Corporaal
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IPPS
Authors Wouter Caarls, Pieter P. Jonker, Henk Corporaal
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