DocumentCode :
2791949
Title :
Integrating Performance Tools with Large-Scale Scientific Software
Author :
Wu, Meng-Shiou ; Bentz, Jonathan L. ; Peng, Fang ; Sosonkina, Masha ; Gordon, Mark S. ; Kendall, Ricky A.
Author_Institution :
Scalable Comput. Lab., Ames Lab., IA
fYear :
2007
fDate :
26-30 March 2007
Firstpage :
1
Lastpage :
8
Abstract :
Modern performance tools provide methods for easy integration into an application for performance evaluation. For a large-scale scientific software package that has been under development for decades and with developers around the world, several obstacles must be overcome in order to utilize modern performance tools and explore performance bottlenecks. In this paper, we present our experience in integrating performance tools with one popular computational chemistry package. We discuss the difficulties we encountered and the mechanisms developed to integrate performance tools into this code. With performance tools integrated, we show one of the initial performance evaluation results, and discuss what other challenges we are facing to conduct performance evaluation for large-scale scientific packages.
Keywords :
chemistry computing; software packages; computational chemistry package; large-scale scientific software package; performance tool integration; Algorithms; Chemistry; Instruments; Laboratories; Large scale integration; Large-scale systems; Software packages; Software performance; Software tools; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0910-1
Electronic_ISBN :
1-4244-0910-1
Type :
conf
DOI :
10.1109/IPDPS.2007.370567
Filename :
4228295
Link To Document :
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