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Abstract: . Conventional performance environments are based on profiling and event instrumentation. It becomes problematic as parallel systems scale to hundreds of nodes and beyond. A framework of developing an integrated performance modeling and prediction system, SCALability Analyzer (SCALA), is presented in this study. In contrast to existing performance tools, the program performance model generated by SCALA is based on scalability analysis. SCALA assumes the availability of modern compiler... (Update)
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BibTeX entry: (Update)
X.H. Sun, M. Pantano, T. Fahringer, , and Z. Zhan. SCALA: A Framework for Performance Evaluation of Scalable Computing. In Proc. of the 4-th Workshop on High-Level Parallel Programming Models & Supportive Environments, in Lecture Notes in Computer Science, volume 1586, April 1999. http://citeseer.ist.psu.edu/sun99scala.html More
@inproceedings{ sun99scala,
author = "Xian-He Sun and Mario Pantano and Thomas Fahringer and Zhaohua Zhan",
title = "{SCALA}: A Framework for Performance Evaluation of Scalable Computing",
booktitle = "{IPPS}/{SPDP} Workshops",
pages = "49-62",
year = "1999",
url = "citeseer.ist.psu.edu/sun99scala.html" }
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