In this article we present SkePU 2, the next generation of the SkePU C++ skeleton
programming framework for heterogeneous parallel systems. We critically examine the …

Current parallel programming frameworks aid developers to a great extent in implementing
applications that exploit parallel hardware resources. Nevertheless, developers require …

This paper studies adaptive bilateral negotiation between software agents in e-commerce
environments. Specifically, we assume that the agents are self-interested, the environment is …

High-level parallel programming is a de-facto standard approach to develop parallel
software with reduced time to development. High-level abstractions are provided by existing …

Time-to-solution is an important metric when parallelizing existing code. The REPARA
approach provides a systematic way to instantiate stream and data parallel patterns by …

Multi-core computing systems are becoming increasingly parallel and heterogeneous.
Parallelism exploitation is today the primary instrument for improving application …

Today's society is increasingly software-driven and dependent on powerful computer
technology. Therefore it is important that advancements in the low-level processor hardware …

Writing correct and efficient parallel programs is hard. A lack of overview leads to errors in
control-and dataflow, eg, race conditions, which are hard to find due to their nondeterministic …

This thesis presents SkePU 2, the next generation of the SkePU C++ framework for
programming of heterogeneous parallel systems using the skeleton programming concept …

This work studies the issues related to dynamic memory management in Data Stream
Processing, an emerging paradigm enabling the real-time processing of live data streams. In …