DocumentCode :
2349868
Title :
Modeling application performance by convolving machine signatures with application profiles
Author :
Snavely, Allan ; Wolter, Nicole ; Carrington, Laura
Author_Institution :
San Diego Supercomput. Center, CA, USA
fYear :
2001
fDate :
2 Dec. 2001
Firstpage :
149
Lastpage :
156
Abstract :
This paper presents a performance modeling methodology that is faster than traditional cycle-accurate simulation, more sophisticated than performance estimation based on system peak-performance metrics, and is shown to be effective on a class of High Performance Computing benchmarks. The method yields insight into the factors that affect performance on single-processor and parallel computers.
Keywords :
performance evaluation; High Performance Computing benchmarks; performance estimation; performance modeling; Application software; Computational fluid dynamics; Computational modeling; Computer applications; Concurrent computing; High performance computing; Kernel; Predictive models; Supercomputers; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop on
Print_ISBN :
0-7803-7315-4
Type :
conf
DOI :
10.1109/WWC.2001.990754
Filename :
990754
Link To Document :
بازگشت