viii Preface reason for this change is that sequential processors have ceased to get
proportional performance improvements from increased circuit complexity. Although the …

Large-scale text categorisation in social environments, characterised by the high
dimensionality of feature spaces, is one of the most relevant problems in machine learning …

Historically, Fortran and C have been the default programming languages in High-
Performance Computing (HPC). In both, programmers have primitives and functions …

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 use of existing component-based modeling frameworks for integrated water resources
modeling is currently hampered for some important use cases because they lack support for …

The proliferation of applications, frameworks, and services built on Java have led to an
ecosystem critically dependent on the underlying runtime system, the Java virtual machine …

This paper reviews the Ogre classification of Big Data application with 50 facets divided into
four groups or views. These four correspond to Problem Architecture, Execution mode, Data …

Simbrain 3.0 is a software package for neural network design and analysis, which
emphasizes flexibility (arbitrarily complex networks can be built using a suite of basic …

Julia has quickly become one of the main programming languages for computational
sciences, mainly due to its speed and flexibility. The speed and efficiency of Julia are the …

Cognitive applications are complex and are composed of multiple components exhibiting
diverse workload behavior. Efficient execution of these applications requires systems that …