DocumentCode
322780
Title
Parallel performance visualization using moments of utilization data
Author
Godin, T.J. ; Quinn, Michael J. ; Pancake, C.M.
Author_Institution
Dept. of Comput. Sci., Oregon State Univ., Corvallis, OR, USA
fYear
1998
fDate
30 Mar-3 Apr 1998
Firstpage
777
Lastpage
782
Abstract
We propose a new parallel performance visualization scheme, based on a simple moment analysis of processor utilization data. This method combines the scalability advantages of statistical summaries with the more revealing processor utilization information of Gantt charts. It scales well to large numbers of processors, requiring only storage constant in execution time
Keywords
data analysis; data visualisation; parallel processing; performance evaluation; statistical analysis; Gantt charts; execution time; moment analysis; parallel performance visualization; processor utilization data; scalability; statistical summaries; storage; Clocks; Computer displays; Computer science; Concurrent computing; Data visualization; Performance analysis; Programming profession; Scalability; Synchronization; User-generated content;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998
Conference_Location
Orlando, FL
ISSN
1063-7133
Print_ISBN
0-8186-8404-6
Type
conf
DOI
10.1109/IPPS.1998.670015
Filename
670015
Link To Document