The HiDALGO2 Centre of Excellence is pleased to announce a new publication by its researchers, focusing on assessing the impact of processor architecture on the performance of Computational Fluid Dynamics (CFD) applications. The paper, titled “Evaluating AMD EPYC CPU architectures on CFD applications,” appears in Future Generation Computer Systems, Volume 177. Key Insights from the […]
Data-intensive applications, such as AI training and inference, climate and Earth modeling, or other complex ensembles of simulations in High Performance Computing (HPC), require the development of data management systems (DMS) that can manage huge volumes of data, on the range of peta and exa-scale, and address challenges related to transfer latency minimisation and throughput
The HiDALGO2 Cloud Data Management System Read More »
Written by Christopher Aguilar of HiDALGO2 Dissemination Leader Future Needs. Today’s global challenges are interconnected, each one shaping the next. Climate change fuels more intense wildfires, rapid urbanisation strains our energy grids and pollutes our air, and the shift to renewables introduces new instabilities. Addressing these overlapping crises in turn requires an approach that is integrated, combining expertise across
A new publication by HiDALGO2 researchers focuses on improving the efficiency of machine learning (ML) workloads in High-Performance Computing (HPC) environments.
HiDALGO2 Researchers Publish New Paper on Multi-GPU Machine Learning Optimization Read More »
When on a long distance car trip, do you prioritise speed or fuel efficiency? For most cars, maximum fuel efficiency is achieved at a speed of between 50-80km/h. Travel any faster and you will consume more fuel to reach your destination. Work with computational fluid dynamics (CFD) codes on high performance computing (HPC) architectures faces
New Scientific Paper: Prediction model of performance–energy trade-off for CFD codes Read More »
