Performance prediction of PVM programs

Abstract

As workstation clusters gain popularity as a parallel computing platform, there is an increasing need for performance tools that support these platforms. Performance prediction is important for performance analysis of scalable parallel applications. Although there are several performance tools available that work with PVM programs, none are capable of performance prediction. We have developed the APACHE (Automated PVM Application Characterization Environment) performance prediction system for PVM programs running on workstation clusters. We review the system implementation and present some experimental results obtained with the system.