This paper describes a methodology that provides detailed predictive performance
information throughout the software design and implementation cycles. It is structured …

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 work presents the results of ongoing investigations in the development of a
performance modeling framework, developed by the Performance Modeling and …

Performance prediction is set to play a significant role in supportive middleware that is
designed to manage workload on parallel and distributed computing systems. This …

Traditional means of gathering performance data are tracing, which is limited by the
available storage, and profiling, which has limited accuracy. Performance modeling is often …

Performance prediction is an important engineering tool that provides valuable feedback on
design choices in program synthesis and machine architecture development. We present an …

The EXPERT performance-analysis environment provides a complete tracing-based
solution for automatic performance analysis of MPI, OpenMP, or hybrid applications running …

Performance Evaluation, Prediction and Visualization in Parallel Systems presents a
comprehensive and systematic discussion of theoretics, methods, techniques and tools for …

Performance is an important issue with any application, especially grid applications. Efficient
execution of applications requires insight into how the system features impact the …

Both simulation and analytic models of computer systems can be very useful for predicting
the performance of proposed new systems or proposed changes to exmting systems …