Computer science Concurrent computing Digital signal processing Fast Fourier transforms Mathematics Packaging Partitioning algorithms Prototypes Signal processing algorithms Tensile stress
This paper presents a sell-adapting parallel package for computing the Walsh-Hadamard transform (WHT), a prototypical fast signal transform, similar to the fast Fourier transform. Using a search over a space of mathematical formulas representing different algorithms to compute the WHT the package finds the best parallel implementation on a given shared-memory multiprocessor. The search automatically finds the best combination of sequential and parallel code leading to the most effective granularity, load balance and cache utilization. Experimental results are presented showing the optimizations required to obtain nearly linear speedup on a sample symmetric multiprocessor.
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Details
Title
A prototypical self-optimizing package for parallel implementation of fast signal transforms
Creators
Kang Chen - Drexel University
J. R Johnson - Drexel University
Kenneth Chen - Digital Media
Publication Details
Proceedings 16th International Parallel and Distributed Processing Symposium, pp 6 pp-548