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
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