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Algorithmic-level exploration of discrete signal transforms for partitioning to distributed hardware architectures

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3 Author(s)
Nazario, R.A.A. ; Univ. of Puerto Rico, Mayaguez ; Jimenez, M. ; Rodriguez, D.

High-level partitioning is an essential process for obtaining effective algorithm implementations to distributed hardware architectures (DHAs). Discrete signal transforms (DST) in general have well-known algorithmic properties that can be exploited to improve their partitioning in hardware implementations. A high-level partitioning methodology which uses formulation-level discrete signal transform properties to guide DST partitioning onto DHAs is introduced. It has been discussed how such characteristics were taken into account to focus design exploration during partitioning. A set of experiments carried to determine the effect of formulation-level properties on solution quality are also presented. Perceived patterns in experimental results were used to generate 'partition-friendly' fast Fourier transform (FFT) formulations for DHAs. Results for various FFT sizes achieved over 21% reduction in estimated latency over a general-purpose high-level partitioning method.

Published in:

Computers & Digital Techniques, IET  (Volume:1 ,  Issue: 5 )