Until the last decade, performance of HPC architectures has been almost exclusively
quantified by their processing power. However, energy efficiency is being recently …

With its applicability spanning numerous data-driven fields, the implementation of graph
analytics on multicore platforms is gaining momentum. One of the most important …

The constant need for faster and more energy‐efficient processors has been stimulating the
development of new architectures, such as low‐power many‐core architectures …

In multi-instance learning, the training examples are bags composed of instances without
labels and the task is to predict the labels of unseen bags through analyzing the training …

Embedded systems design requires the development of complex HW modules to cope with
the most stringent timing constraints of the specifications. This implies the need to update …

Large-scale simulation of seismic wave propagation is an active research topic. Its high
demand for processing power makes it a good match for High Performance Computing …

With its applicability spanning numerous data-driven fields, the implementation of graph
analytics on multicore platforms is gaining momentum. The most important component of a …

Community detection is an advanced graph operation that is used to reveal tightly-knit
groups of vertices (aka. communities) in real-world networks. Given the intractability of the …

This paper meets the challenge of harnessing the heterogeneous communication
architecture of ccNUMA multiprocessors for heterogeneous stencil computations, an …

SMP/NUMA systems are powerful HPC platforms which could be applied for a wide range of
real-life applications. These systems provide large capacity of shared memory, and allow …