NDLI: Parallel Transition Localization

Content Provider	IEEE Xplore Digital Library
Author	Barford, L.
Copyright Year	2010
Description	Author affiliation: Agilent Research Laboratories, 561 Keystone Avenue - Box 434, Reno, NV 89503 USA (Barford, L.)
Abstract	Microprocessor clock rates-which for three decades doubled about every 18 months-have essentially stopped increasing. Instead the number of processor cores (identical processing units capable of all usual microprocessor functions) in a microprocessor is increasing exponentially with time. In order to increase performance as the number of cores increase, measurement analysis software will have to take advantage of this parallelism. The purpose of this paper is to study one example of a measurement analysis having serial dependencies among the input data and to show that there is a practical parallel algorithm despite the data dependencies within the measured time series. The measurement analysis studied is transition localization in digital signals. A parallel scan-type algorithm is presented. Results of applying the parallel algorithm on both synthetic data and actual measured data are presented, and the speedup obtained on an eight core processor analyzed.
Starting Page	176
Ending Page	180
File Size	713406
Page Count	5
File Format	PDF
ISBN	9781424428328
ISSN	10915281
DOI	10.1109/IMTC.2010.5487990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microprocessors Time measurement Algorithm design and analysis Parallel algorithms Clocks Software measurement Performance analysis Software performance Time series analysis Signal analysis
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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