Topological data analysis offers a rich source of valuable information to study vision
problems. Yet, so far we lack a theoretically sound connection to popular kernel-based …

Exploiting the performance of today's processors requires intimate knowledge of the
microarchitecture as well as an awareness of the ever-growing complexity in thread and …

The rapidly growing number of cores on modern supercomputers imposes scalability
demands not only on applications but also on the software tools needed for their …

Performance analysis is essential to fully exploit the potential of high‐performance
computers. With the imminence of petascale systems which will consist of ten thousands or …

Exploiting the performance of today's microprocessors requires intimate knowledge of the
microarchitecture as well as an awareness of the ever-growing complexity in thread and …

With the rise of exascale systems and large, data‐centric workflows, the need to observe
and analyze high performance computing (HPC) applications during their execution is …

With larger and larger systems being constantly deployed, trace-based performance
analysis of parallel applications has become a challenging task. Even if the amount of …

GPU accelerators have become common on today's leadership-class computing platforms.
Exploiting the additional parallelism offered by GPUs is fraught with challenges. A key …

Vehicular Networks (VANET) are the largest real life application of ad-hoc networks where
nodes are represented via fast moving vehicles. As VANET is characterised with several …

The widely used Message Passing Interface (MPI) with its multitude of communication
functions is prone to usage errors. Runtime error detection tools aid in the removal of these …