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Parallel computation of the time-frequency power spectrum: analysis and comparison to the bispectrum

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3 Author(s)
Le, Khoa N. ; Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Melbourne, Vic., Australia ; Egan, Gregory K. ; Dabke, Kishor P.

Experiments of large data sets are computationally expensive. Signal processing analysis on a single CPU leads to unacceptably long execution times. The paper presents initial experiments on calculating the time-frequency power spectrum using the coarse-grained parallel programming technique. Experimental speedup factors are given and discussed. The measured speedup factor of the time-frequency power spectrum parallel calculation process is sublinear which indicates that the time-frequency power spectrum is a suitable application for parallel programming. The parallel efficiency is acceptable with the lowest value of 75.1% occurring at N = 10. The maximum speedup factor of 9.1 is obtained when N = 12 at 75.3% of efficiency

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Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on  (Volume:3 )

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