SCALA: A Framework for Performance Evaluation of Scalable Computing

Abstract. Conventional performance environments are based on pro ling 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 technology, adopts statistical methodologies, and has the support of browser interface. These technologies, together with a new approach of scalability analysis, enable SCALA to provide the user with a higher and more intuitive level of performance analysis. A prototype SCALA system has been implemented. Initial experimental results show that SCALA is unique in its ability of revealing the scaling properties of a computing system.

• Type: Conference
• Year: 1999
• Where: IPPS
• Authors: Xian-He Sun, Mario Pantano, Thomas Fahringer, Zhaohua Zhan
• Keywords: Distributed And Parallel Computing, IPPS 1999, Performance, SCALA, SCALability Analyzer SCALA