The deployment of larger and larger HPC systems challenges the scalability of both
applications and analysis tools. Performance analysis toolsets provide users with means to …

This paper considers the performance attributes of the molecular simulation code,
DL_POLY, as measured and analysed over the past two decades. Following a brief …

Performance analysis of scientific parallel applications is essential to use High Performance
Computing (HPC) infrastructures efficiently. Nevertheless, collecting detailed data of large …

Abstract High-Performance Computing (HPC) has become an important scientific driver. A
wide variety of research ranging for example from drug design to climate modelling is …

A new paradigm for HPC Resource Management, called Elastic Computing, is under
development at the Invasive Computing Transregional Collaborative Research Center. An …

Classical performance analysis methodologies use either execution traces with fine-grained
data or profiles with aggregates. Event traces provide the finest level of detail on application …

Performance monitoring in a High-Performance Computing (HPC) system is an essential
and challenging task. With a large number of system components, coupled with health …

Large simulations are executed in HPC systems. These systems are shared among users
with a resource manager. There are ranges of resource allocations where simulations …

Profiling of an application identifies parts of the code being executed using the hardware
performance counters thus providing the application's performance. Profiling has long been …