Title :
Scalable, parallel performance environments
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
Abstract :
It is shown that new techniques are needed to analyze and present performance data from massively parallel systems. Although parallel programs contain many tasks, typically, there are only a few equivalence classes of task behavior. The author is planning to incorporate algorithms for performance data clustering and display (i.e. equivalence class identification) performance data presentation
Keywords :
parallel processing; parallel programming; performance evaluation; equivalence class identification; equivalence classes; massively parallel systems; parallel performance environments; parallel programs; performance data; performance data clustering; performance data presentation; scalable environment; task behavior; Application software; Computer science; Data analysis; Displays; Instruments; Measurement; Performance analysis; Software performance; Software standards; Software tools;
Conference_Titel :
Computer Software and Applications Conference, 1991. COMPSAC '91., Proceedings of the Fifteenth Annual International
Conference_Location :
Tokyo
Print_ISBN :
0-8186-2152-4
DOI :
10.1109/CMPSAC.1991.170195
