This paper solves the discretised multiphase flow equations using tools and methods from
machine-learning libraries. The idea comes from the observation that convolutional layers …

Abstract High fidelity Computational Fluid Dynamics simulations are generally associated
with large computing requirements, which are progressively acute with each new generation …

For complex engineering and scientific applications, Computational Fluid Dynamics (CFD)
simulations require a huge amount of computational power. As such, it is of paramount …

In several engineering and scientific fields, computational fluid dynamics (CFD) has
emerged as an essential tool for simulating and studying fluid flow phenomena. The …

A current trend in HPC systems is the utilization of architectures with SIMD or vector
extensions to exploit data parallelism. There are several ways to take advantage of such …

The simulation of detailed neuronal circuits is based on computationally expensive software
simulations and requires access to a large computing cluster. The appearance of new …

Top-Down models are defined by hardware architects to provide information on the
utilization of different hardware components. The target is to isolate the users from the …

One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in
hardware. This functionality is particularly influential when assessing performance on …

In this study, a PIMPLE algorithm-based solver in a non-inertial coordinate system is
developed. The hydrodynamic force acting on an AUV body that is forced to oscillate in a …

Uno de los principales retos en la operación eficiente de un centro de computación de altas
prestaciones (HPC) es el consumo energético generado por la operación del centro de …