Remotely sensed hyperspectral imaging offers the possibility to collect hundreds of images,
at different wavelength channels, for the same area on the surface of the Earth …

Modern homogeneous parallel platforms are composed of tightly integrated multicore CPUs.
This tight integration has resulted in the cores contending for various shared on-chip …

Heterogeneous multiprocessor systems, which are composed of a mix of processing
elements, such as commodity multicore processors, graphics processing units (GPUs), and …

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 …

Classification of remotely sensed hyperspectral images is a challenging task due the
enormous amount of information comprised in these images, that contain hundreds of …

Load balancing is a widely accepted technique for performance optimization of scientific
applications on parallel architectures. Indeed, balanced applications do not waste processor …

Traditional load balancing algorithms for data-intensive iterative routines can successfully
load balance relatively small problems. We demonstrate that they may fail on highly …

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 …

Currently, the energy efficiency of computational systems is of paramount relevance. In this
work, an approach for improving energy efficiency is proposed in the context of the iterative …

The advent of multicore systems, joined to the potential acceleration of the graphics
processing units, alleviates some well known important architectural problems at the …