Modern HPC platforms have become highly heterogeneous owing to tight integration of
multicore CPUs and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or …

In the simulation of complex multi-scale flows arising in weather and climate modelling, one
of the biggest challenges is to satisfy strict service requirements in terms of time to solution …

The multidimensional positive definite advection transport algorithm (MPDATA) belongs to
the group of nonoscillatory forward‐in‐time algorithms and performs a sequence of stencil …

Modern HPC platforms are highly heterogeneous with tight integration of multicore CPUs
and accelerators (such as Graphics Processing Units, Intel Xeon Phis, or Field …

The goal of this study is to adapt the multiscale fluid solver EULerian or LAGrangian
framewrok (EULAG) to future graphics processing units (GPU) platforms. The EULAG model …

This article provides a comprehensive study of OpenCL heterogeneous programming for
porting applications to CPU–GPU computing platforms, with a real‐life application for the …

In this work, we propose a method that allows us to reduce energy consumption of an
application executed on supercomputing centers. The proposed method is based on a …

In this paper, we propose an energy‐aware task management mechanism designed for the
forward‐in‐time algorithms running on multicore central processing units (CPUs), where the …

Modern heterogeneous computing platforms have become powerful HPC solutions, which
could be applied to a wide range of real-life applications. In particular, the hybrid platforms …

In this study, we report development of two innovatory parallel implementations of the
Multidimensional Positive Definite Advection Transport Algorithm (MPDATA). MPDATA is the …