Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

Orfeo ToolBox is an open-source project for state-of-the-art remote sensing, including a fast
image viewer, applications callable from command-line, Python or QGIS, and a powerful …

Parallel numerical software based on the message passing model is enormously
complicated. This paper introduces a set of techniques to manage the complexity, while …

In this paper we consider productivity challenges for parallel programmers and explore ways
that parallel language design might help improve end-user productivity. We offer a …

Quantum chemistry is a discipline which relies heavily on very expensive numerical
computations. The scaling of correlated wave function methods lies, in their standard …

Containers improve the efficiency in application deployment and thus have been widely
utilised on Cloud and lately in High Performance Computing (HPC) environments …

Many problems in science and engineering are best simulated as a set of mutually
interacting models, resulting in a coupled or multiphysics model. These models present …

We describe the open-source global fitting package GAMBIT: the Global And Modular
Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of …

State-of-the-art software tools for neuronal network simulations scale to the largest
computing systems available today and enable investigations of large-scale networks of up …

This paper describes work done on the original PARAMICS project, which was developed
for the Edinburgh Parallel Computing Centre to examine parallel microscopic road traffic …