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 …

Performance is one of the key features of parallel and distributed computing systems.
Therefore, in the past a significant research effort was invested in the development of …

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

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 …

Inferring the expected performance for parallel applications is getting harder than ever;
applications need to be modeled for restricted or nonexistent systems and performance …

Automated performance modeling and performance prediction of parallel programs are
highly valuable in many use cases, such as in guiding task management and job …

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

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

Predicting the performance of an application running on parallel computing platforms is
increasingly becoming important because of its influence on development time and resource …

Parallel computing has emerged as an environment for computing inherently parallel and
computation intensive applications. Performance is always a key factor in determining the …