DocumentCode :
2134603
Title :
Performance prediction with benchmaps
Author :
Toledo, Sivan
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
1996
fDate :
15-19 Apr 1996
Firstpage :
479
Lastpage :
484
Abstract :
Benchmapping is a performance prediction method for data-parallel programs that is based on modeling the performance of runtime systems. This paper describes a benchmapping system, called BENCHCVL, that predicts the running time of data-parallel programs written in the NESL language on several computer systems. BENCHCVL predicts performance using a set of more than 200 parameterized models. The models quantify the cost of moving data between processors, as well as the cost of moving data within the local memory hierarchy of each processor. The parameters for the models are automatically estimated from measurements of the execution times of runtime system calls on each computer system
Keywords :
parallel programming; software performance evaluation; BENCHCVL; NESL language; benchmaps; data-parallel programs; performance prediction; runtime system; runtime systems; Algorithms; Computer languages; Concurrent computing; Costs; Parameter estimation; Prediction methods; Predictive models; Programming profession; Visualization; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-8186-7255-2
Type :
conf
DOI :
10.1109/IPPS.1996.508099
Filename :
508099
Link To Document :
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