Granular matter is ubiquitous in nature and is present in diverse forms in important
engineering, industrial and natural processes. Particle-based computational modelling has …

Long timescale Molecular Dynamics (MD) simulation of small molecules is crucial in drug
design and basic science. To accelerate a small data set that is executed for a large number …

In N-body applications, the efficient evaluation of range-limited forces depends on applying
certain constraints, including a cut-off radius and force symmetry (Newton's Third Law) …

In the search of more energy efficient computing devices that could be assembled to build
future exascale systems, this study proposes a chip to chip comparison between a CPU, a …

Network performance has contributed fundamentally to the growth of supercomputing over
the past decades. In parallel, High Performance Computing (HPC) peak performance has …

Molecular Dynamics (MD) simulations provide qualitative insights into the dynamics of
liquids, solids, and liquid–solid interfaces under varying temperature and pressure …

FPGA clusters that consist of multiple FPGA boards have been gaining interest in recent
times. Massively parallel processing with a stand-alone heterogeneous FPGA cluster with …

Abstract Machine learning has evolved significantly recently and has penetrated every
aspect of science, technology, and daily life. As application prediction demands higher …

Molecular Dynamics (MD) is a computer simulation technique that executes iteratively over
discrete, infinitesimal time intervals. It has been a widely utilized application in the fields of …

Chest computed tomography (CT) imaging is highly reliable and practical in diagnosing and
analyzing COVID-19, mainly in the infectious region rather than reverse-transcription …