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 …

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 …

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 …

For designers of large-scale parallel computers, it is greatly desired that performance of
parallel applications can be predicted at the design phase. However, this is difficult because …

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 …

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

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 …

The ALPSTONE project comprises a methodology and tools that guide a programmer of
parallel software from the design of a program to the finished code under the aspect of …