Scalasca is a performance toolset that has been specifically designed to analyze parallel
application execution behavior on large‐scale systems with many thousands of processors …

When scaling message-passing applications to thousands of processors, their performance
is often affected by wait states that occur when processes fail to reach synchronization points …

Applications must scale well to make efficient use of even medium-scale parallel systems.
Because scaling problems are often difficult to diagnose, there is a critical need for scalable …

Developers of applications with large-scale computing requirements are currently presented
with a variety of high-performance systems optimised for message-passing, however …

Davida, Wells and Kam used the Chinese Remainder Theorem to construct an encryption
system allowing access to individual data fields of a record in a relational database. Their …

Analysts commonly use execution traces collected at runtime to understand the behavior of
an application running on distributed and parallel systems. These traces are inspected post …

Understanding how parallel applications behave is crucial for using high-performance
computing (HPC) resources efficiently. However, the task of performance analysis is …

Abstract PEPC (Pretty Efficient Parallel Coulomb-solver) is a complex HPC application
developed at the Jülich Supercomputing Centre, scaling to thousands of processors. This is …

High‐performance computing systems continue to employ more and more processor cores.
Current typical high‐end machines in industry, university, and government research …

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 …