In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

Genome sequencing and analysis allow researchers to decode the functional information
hidden in DNA sequences as well as to study cell to cell variation within a cell population …

Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …

The R statistical environment and language has demonstrated particular strengths for
interactive development of statistical algorithms, as well as data modelling and visualisation …

Stencil calculations comprise an important class of kernels in many scientific computing
applications ranging from simple PDE solvers to constituent kernels in multigrid methods as …

This work is an overview of our preliminary experience in develo** a high-performance
iterative linear solver accelerated by GPU coprocessors. Our goal is to illustrate the …

In recent years, the use of graphics chips has been recognized as a viable way of
accelerating scientific and engineering applications, even more so since the introduction of …

We explore the interplay between architectures and algorithm design in the context of
shared-memory platforms and a specific graph problem of central importance in scientific …

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Power consumption and energy efficiency are becoming critical aspects in the design and
operation of large scale HPC facilities, and it is unanimously recognised that future exascale …