Accurate prediction of parallel applications' performance is becoming increasingly complex.
We seek to characterize the behavior of message-passing applications by extracting a …

Predicting the performance of parallel scientific applications is becoming increasingly
complex. Our goal was to characterize the behavior of message-passing applications on …

In order to measure the performance of a parallel machine, a set of application kernels as
benchmarks have often been used. However, it is not always possible to characterize the …

Predicting performance of parallel applications is becoming increasingly complex and the
best performance predictor is the application itself, but the time required to run it thoroughly …

Performance prediction across platforms is increasingly important in today's diverse
computing environments. As both programs and their developers face unprecedented wide …

The analysis of parallel scientific applications allows us to know the details of their behavior.
One way of obtaining information is through performance tools. One such tool is PAS2P …

Analyzing and predicting performance in parallel applications is a great challenge for
scientific programmers due to its com-plexity. Analyzing parallel application behavior is not a …

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

Different techniques for estimating the execution time of parallel applications have been
studied for the last 25 years. These approaches have proposed different methods for …

Being able to accurately estimate how an application will perform in a specific computational
system provides many useful benefits and can result in smarter decisions. In this work we …