DocumentCode
2062597
Title
A scalability metric for algorithm-machine on NOW and MPP
Author
Yongchang, Ji ; Hong, An ; Weiqun, Ding ; Guoliang, Chen
Author_Institution
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Volume
1
fYear
2000
fDate
14-17 May 2000
Firstpage
405
Abstract
Along with the rapid development of parallel processing technology and the popularity of NOW, the scalability of parallel algorithm-machine combinations, which measures the capacity of a parallel algorithm to effectively utilize an increasing number of processors, becomes more and more important. We present a new metric, called the time scale metric, to measure and evaluate the scalability of parallel algorithms and machines, and extend it to fit the characteristics of NOW. The experimental results show that the time scale metric is a practical and accurate method to evaluate the scalability of parallel algorithms on MPP and NOW.
Keywords
parallel algorithms; parallel machines; software metrics; workstation clusters; MPP; NOW; experimental results; massively parallel processors; parallel algorithm; parallel machine; parallel processing; scalability metric; time scale metric; workstation network;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on
Conference_Location
Beijing, China
Print_ISBN
0-7695-0589-2
Type
conf
DOI
10.1109/HPC.2000.846588
Filename
846588
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