In this work, we present a survey of the different parallel programming models and tools
available today with special consideration to their suitability for high-performance …

We present a new similarity search library and discuss a variety of design and performance
issues related to its development. We adopt a position that engineering is equally important …

We introduce the software package ReaDDy for simulation of detailed spatiotemporal
mechanisms of dynamical processes in the cell, based on reaction-diffusion dynamics with …

The rising interest in Java for High Performance Computing (HPC) is based on the
appealing features of this language for programming multi-core cluster architectures …

This paper describes the Java MPI bindings that have been included in the Open MPI
distribution. Open MPI is one of the most popular implementations of MPI, the Message …

The power consumption of modern high‐performance computing (HPC) systems that are
built using power hungry commodity servers is one of the major hurdles for achieving …

Incremental model-update strategies are widely used in machine learning and data mining.
By “incremental update” we refer to models that are updated many times using small subsets …

Motivation: Bioinformatics algorithms and computing power are the main bottlenecks for
analyzing huge amount of data generated by the current technologies, such as the 'next …

Current computer engineering evolves at an accelerated pace, with hardware advancing
towards new chip multiprocessors (CMP) architectures and with supporting software gearing …

Abstract Machine learning (ML) is a cornerstone of the new data revolution. Most attempts to
scale machine learning to massive datasets focus on parallelization on computer clusters …