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

被引：0

作者：

Le, KN ^{[1
]}

Egan, GK ^{[1
]}

Dabke, KP ^{[1
]}

机构：

[1] Monash Univ, Dept Elect & Comp Syst Engn, Melbourne, Vic, Australia

来源：

2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：C322 / C327

页数：6

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