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
Link To Document :
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