The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

We discuss the state of art of Lattice Boltzmann (LB) computing, with special focus on
prospective LB schemes capable of meeting the forthcoming Exascale challenge. After …

Parallel metaheuristics require programming languages that provide both, high performance
and a high level of programmability. This paper aims at providing a useful data point to help …

For many computational chemistry packages, being able to efficiently and effectively scale
across an exascale cluster is a heroic feat. Collective experience from the Department of …

This thesis deals with the improvement of the efficiency of numerical simulations in
computational fluid dynamics. Some of the limitations of current algorithms on future …

Task scheduling is a crucial key component for the efficient execution of data-intensive
applications on distributed environments, by which many machines must be coordinated to …

Huge amounts of digital data are continuously generated and collected from different
sources, such as sensors, cameras, in-vehicle infotainment, smart meters, mobile devices …

Crowd simulation has been widely used as a tool to demonstrate the behavior of
passengers on public transport. A simulation model allows researchers to evaluate the …