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 …

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 …

Nowadays, parallel architectures are changing so fast that there is a need for scalable and
efficient tools to analyze and predict the performance of parallel applications. Analytical …

Performance is the reason for parallel computing. Achieving high performance on parallel
computer systems is the product of an intimate combination of hardware architecture …

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 …

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

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

For the effective development of applications running on massively parallel systems, efficient
but reliable performance predictions are required. However, existing 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 …

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 …