Success Stories
Each of the success stories below is a summary of a successful experiment that has been conducted within one of the HPC CoE projects and one or more partners from industry, society and / or science. The summary focuses on the business benefits resulting from the experiment.
POP and PerMed Centers of Excellence are Getting Cell-Level Simulations Ready for Exascale
POP and PerMed Centers of Excellence are Getting Cell-Level Simulations Ready for Exascale Collaboration of CoEs workflow Success story # Highlights: Industry sector: Computational biology Key codes used: PhysiCell Keywords:
Excellerat: Bringing industrial end-users to Exascale computing: An industrial level combustion design tool on 128K core
Excellerat Success Story: Bringing industrial end-users to Exascale computing: An industrial level combustion design tool on 128K cores CoE involved: Strong scaling for turbulent channel (tri) and rocket engine simulations
Excellerat: Enabling High Performance Computing for Industry through a Data Exchange & Workflow Portal
Excellerat Success Story: Enabling High Performance Computing for Industry through a Data Exchange & Workflow Portal CoE involved: Success story # Highlights: Keywords: Data Transfer Data Management Data Reduction Automatisation,
HiDALGO: Assisting decision makers to solve Global Challenges with HPC applications – Covid-19 modelling
The success story describes how HiDALGO supports the UK National Health Service with tools to detect, predict and even prevent the virus spread behaviour in the current pandemic situation.
HiDALGO: Assisting decision makers to solve Global Challenges with HPC applications – Migration issues
The success story shows how HiDALGO supports NGOs with providing more accurate estimations on people flows and even destinations to send the appropriate amount of help to the right place.
MAX: AiiDA platform accelerates materials discovery
The challenge in this industry cooperation with Bosch and Marvel NCCR was to find new candidate materials for next generation batteries.
ESiWACE: Improving weather and climate forecasting with a new NEMO configuration
Develop a way to ease the profiling and benchmarking of NEMO for its versatile uses in order to increase the performance of this framework.
E-CAM: Designing control pulses for superconducting Qubit systems with local control theory
The aim of this pilot project was to develop a new method and dedicated software for designing control pulses to manipulate qubit systems.
EoCoE: Industry Sector – Renewable Energy
The goal of this project was to optimize and explore the scalability of simulations for next-generation wind turbines.
CompBioMed: Drug Discovery – Janssen Pharmaceutica NV
CompBioMed, Centre of Excellence in computational bio medicine,
worked together with Janssen Pharmacentica NV to improve the
molecular simulations in drug discovery.
