Projects
EXaSCale smArt pLatform Against paThogEns for Corona Virus KU Leuven
The EXSCALATE4CoV (E4C) project aims to exploit the most powerful computing resources currently based in Europe to empower smart in-silico drug design. Advanced Computer-Aided Drug Design (CADD) in combination with the high throughput biochemical and phenotypic screening will allow the rapid evaluation of the simulations results and the reduction of time for the discovery of new drugs. Against a pandemic crisis, the immediate identification ...
Scalable Parallel and distributed Astrophysical Codes for Exascale KU Leuven
In Astrophysics and Cosmology (A&C) today, High Performance Computing (HPC)-based numerical simulations are outstanding instruments for scientific discovery. They represent essential tools and theoretical laboratories able to investigate, interpret and understand the physical processes behind the observed sky. For these laboratories, the efficient and effective exploitation of exascale computing capabilities is essential.
Exascale ...
DEEP – SOFTWARE FOR EXASCALE ARCHITECTURES KU Leuven
DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation and communication libraries, resource management, and programming abstractions with associated runtime systems and tools – to support highly heterogeneous compute and memory configurations and to allow code optimisation ...
TIME parallelisation: for eXascale computing and beyond KU Leuven
Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems. However, these successes have mainly been achieved in a rather academic setting, without an overarching understanding. TIME-X will take the next leap in the development and deployment of this promising new approach for massively parallel HPC simulation, enabling efficient ...
MAterials design at the eXascale. European Centre of Excellence in materials modelling, simulations, and design Ghent University
The main goal of MaX is to allow the pre-exascale and exascale computers expected in Europe in the 2020’s to meet the demands from a large and growing base of researchers committed to materials discovery and design. This goal will be achieved by:
i) an innovative software development model, based on the concept of separation of concerns, that will enable performance of the community codes on heterogeneous hardware architectures, ...
EuroLab4HPC: Consolidation of European Research Excellence in Exascale HPC Systems Ghent University
Europe has made significant progress in becoming a leader in large parts of the HPC ecosystem: from industrial and scientific application providers via system software to Exascale systems, bringing together technical and business stakeholders. Despite such gains, excellence in research in high performance computing systems is fragmented across Europe and opportunities for synergy missed.
At this moment, there is fierce ...
Exascale Algorithms and Advanced Computational Techniques (EXA2CT). University of Antwerp
Centre of Excellence in exascale-oriented application co-design and delivery for multiscale simulations Ghent University
The MultiXscale Centre of Excellence will increase performance, productivity and portability (“the Three P's”) across the entire spectrum of scientists active in the domain of multiscale simulation. It couples the scientific expertise of the CECAM network, represented by leading experts in multiscale simulations from different European institutions, with the technical expertise of the EESSI collaboration, and targets the computational ...