Self‐adaptability is a highly preferred feature in HPC applications. A crucial building block of
a self‐adaptable application is a data partitioning algorithm that must possess several …

The parallel computation capabilities of modern graphics processing units (GPUs) have
attracted increasing attention from researchers and engineers who have been conducting …

This paper is on a multi-GPU simulation of a petroleum reservoir using a 3D structured grid,
where each point is represented by its state. Using the Darcy model for porous media, each …

With rapid development of Graphics Processing Units (GPU) technologies, GPUs are
strongly motivated to be adopted in many real-time applications. However, it is still a …

The use of GPU clusters for scientific applications in areas such as physics, chemistry and
bioinformatics is becoming more widespread. These clusters frequently have different types …

Data partitioning algorithms aiming to minimize the execution time and the energy of
computations in self-adaptable data-parallel applications on modern extreme-scale …

Programming modern embedded vision systems brings various challenges, due to the steep
learning curve for programmers and the different characteristics of the devices. Quasar, a …

Efficient usage of Heterogeneous clusters containing combinations of CPUs and
accelerators, such as GPUs and Xeon Phi boards requires balancing the computational load …

We report on resent astrophysical N-body simulations performed on the GRAPE-4 (GRAvity
PipE 4) system, a special-purpose computer for astrophysical N-body simulations. We first …

The availability of heterogeneous CPU+ GPU systems has opened the door to new
opportunities for the development of parallel solutions to tackle complex biological …