Scheduling in the context of parallel systems is often thought of in terms of assigning tasks in
a program to processors, so as to minimize the makespan. This formulation assumes that the …

Scientific applications should be well balanced in order to achieve high scalability on current
and future high end massively parallel systems. However, the identification of sources of …

This paper presents an extension of Dimemas to enable accurate performance prediction of
message passing applications with collective communication primitives. The main …

Performance modeling for scientific applications is important for assessing potential
application performance and systems procurement in high-performance computing (HPC) …

There are a number of challenges facing the High Performance Computing (HPC)
community, including increasing levels of concurrency (threads, cores, nodes), deeper and …

Concurrency levels in large-scale supercomputers are rising exponentially, and shared-
memory nodes with hundreds of cores and non-uniform memory access latencies are …

This paper discusses the issues related to the accuracy of performance prediction tools for
message passing programs. We present the results of two sets of experiments to quantify the …

Performance modeling for scientific applications is important for assessing potential
application performance and systems procurement in high-performance computing (HPC) …

This work presents a new trace-based parallel discrete event simulation framework
designed for predicting the behavior of a novel computing platform running energy-aware …

In large Grids, like the National Grid Service (NGS), or large distributed architecture different
scheduling entities are involved. Despite a global scheduling approach would archive …