Introduction: Industrial, as well as academic, drug discovery efforts are usually supported by
computational modelling techniques. Many of these techniques, such as virtual high …

Heterogeneous chips that combine CPUs and FPGAs can distribute processing so that the
algorithm tasks are mapped onto the most suitable processing element. New software …

Many studies have focused on developing and improving auto-tuning algorithms for Nvidia
Graphics Processing Units (GPUs), but the effectiveness and efficiency of these approaches …

This article introduces a new efficient particle method for the numerical simulation of
crystallization and precipitation at the pore scale of real rock geometries extracted by X-Ray …

Performance portability has rapidly become one of the key concerns for application
developers targeting modern computer architectures. Although there are various …

Scientific applications need to be moved among supercomputers, such as Tianhe-2 and
TSUBAME 2.5. OpenACC provides a directive-based approach for a single source code …

Scientific computing often requires high performance and distributed computational
resources to perform large scale experiments in order to achieve accurate results in due …

The eruption of multicore processors and several kinds of accelerators has generalized the
interest in parallel programming. The OpenCL standard is very appealing because it …

Studying reactive flows in porous media is essential to manage the geochemical effects of
CO2 capture and storage in natural underground reservoirs. Through homogenization of the …

In the light of the current race towards the Exascale, this article highlights the main features
of the forthcoming computing elements that will be at the core of next generations of …