It has been difficult to develop simple formulations to predict the execution time of parallel
programs due to the complexity of characterizing parallel hardware and software. In an …

In order to improve a parallel program's performance it is critical to evaluate how even the
work contained in a program is distributed over all processors dedicated to the computation …

In this paper we studied performance predictions for parallel scientific applications on a
homogeneous cluster of workstations. Performance prediction is important for analyses of …

In this paper we present a new methodology for the performance prediction of parallel
programs on parallel platforms ranging from shared-memory to distributed-memory (vector) …

This thesis addresses the issue of application performance under real operational
conditions. A technique is introduced which accurately models the behavior of an …

With today's rise of multi-core processors in the desktop market and in common server
systems, concurrency becomes a ubiquitous challenge in software development …

The EDPEPPS toolset is the fruit of a 10 man-year-research development and integrates
many modules in order to predict and classify the execution times of C/PVM programs …

Performance prediction is an effective approach for understanding the scalability of large-
scale parallel applications when the whole target systems are not available. However …

Accurately modeling and predicting performance for large-scale applications becomes
increasingly difficult as system complexity scales dramatically. Analytic predictive models …