In [1] we suggested an original Discrete Element Method that offers the capability to consider
non-spherical particles of arbitrary convex shape. We elaborated on the foundations of our …

In this paper, we present a hybrid execution backend for the skeleton programming
framework SkePU. The backend is capable of automatically dividing the workload and …

Nowadays the use of hardware accelerators, such as the graphics processing units or
XeonPhi coprocessors, is key in solving computationally costly problems that require high …

Heterogeneous nodes composed of a multicore CPU and accelerators are today's norm in
high-performance computing (HPC) platforms due to their superior performance and energy …

Application development for modern high-performance systems with graphics processing
units (GPUs) currently relies on low-level programming approaches like CUDA and …

Computational accelerators, such as manycore NVIDIA GPUs, Intel Xeon Phi and FPGAs,
are becoming common in work-stations, servers and supercomputers for scientific and …

Current computational systems are heterogeneous by nature, featuring a combination of
CPUs and graphics processing units (GPUs). As the latter are becoming an established …

Heterogeneous computing has now become mainstream with virtually every desktop
machines featuring accelerators such as Graphics Processing Units (GPUs). While …

We advocate the Loop-of-stencil-reduce pattern as a means of simplifying the
implementation of data-parallel programs on heterogeneous multi-core platforms. Loop-of …

The implementation of stencil computations on modern, massively parallel systems with
GPUs and other accelerators currently relies on manually-tuned coding using low-level …