Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …

A major challenge in modelling and simulation is the need to combine expertise in both
software technologies and a given scientific domain. When High-Performance Computing …

In a fast-changing data-driven world, real-time data processing systems are becoming
ubiquitous in everyday applications. The increasing data we produce, such as audio, video …

Abstract The NAS Parallel Benchmarks (NPB), originally implemented mostly in Fortran, is a
consolidated suite containing several benchmarks extracted from Computational Fluid …

Benchmarking is a way to study the performance of new architectures and parallel
programming frameworks. Well-established benchmark suites such as the NAS Parallel …

This paper discusses the impact of structured parallel programming methodologies in state-
of-the-art industrial and research parallel programming frameworks. We first recap the main …

Self-adaptation is an emerging requirement in parallel computing. It enables the dynamic
selection of resources toallocate to the application in order to meet performance and power …

It is often a challenge to keep input/output tasks/results in order for parallel computations
over data streams, particularly when stateless task operators are replicated to increase …

Parallel programmers mandate high-level parallel programming tools allowing to reduce the
effort of the efficient parallelization of their applications. Parallel programming leveraging …

We analyze the performance portability of the skeleton-based, single-source multi-backend
high-level programming framework SkePU across multiple different CPU–GPU …