Join an intensive 3-day online training course by HiDALGO2, in collaboration with NCC Czechia and NCC Germany, and unlock the power of high-performance computing for urban energy modeling. From November 26–28, 2025, this hands-on program will guide participants through advanced techniques for building-level and city-scale energy simulations, using the Ktirio Urban Building framework. Designed for […]
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 »
The HiDALGO2 Centre of Excellence (CoE) and EuroCC National Competence Center Sweden (ENCCS) in cooperation with CASTIEL 2 are pleased to offer a webinar on May 26 at 13.00 CET with the title: HiDALGO2 COE and ENCCS: Use case with SLB Analys The webinar will be held over Zoom. To register, click here. Abstract: High-resolution
HIDALGO COE and ENCCS Webinar: Use case with SLB Analys 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 »
The HiDALGO2 EuroHPC Centre of Excellence, in collaboration with the CASTIEL2 project is pleased to invite you to the hybrid Student Workshop on AI and HPC Applications, taking place at the National Technical University of Athens, Institute of Communication & Computer Systems, co-organized by Széchenyi István University on 26 May 2025 and 30 May 2025.
Student Workshop on AI and HPC Applications by HiDALGO2 and Castiel2 Read More »
In what may prove to be a significant milestone in High Performance Computing (HPC), researchers with HiDALGO2 have demonstrated the potential of a new code called Xyst to run efficiently on almost 200,000 CPU cores in parallel. While further validation is necessary, early results are promising and indicate that Xyst may allow certain complex modelling
