Projects
Flanders High Performance Computing Lab Ghent University
Intel wants to create a new laboratory in Flanders, having found at the Flemish universities the required expertise to address challenges. This expertise consist of:
1. Know-how about space weather which is believed which is believed to be one of the workloads requiring exascale performance levels. Accurate and timely space weather predictions are important for sectors including energy and transportation.
2. know-how about numerical ...
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 ...
DEEP Extended Reach: the usability, performance and resiliency of the DEEP-ER Prototype KU Leuven
The proposed project DEEP-ER (DEEP-Extended Reach) addresses two significant Exascale challenges: the growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency. DEEP-ER will extend the Cluster-Booster architecture of the Dynamical Exascale Entry Platform (DEEP) project by a highly scalable I/O system and will implement an efficient mechanism to recover application tasks that fail due to ...
MLMC-PinT4Data: Parallel-in-time micro-macro Monte Carlo methods for uncertainty quantification and data assimilation KU Leuven
With the exponential increase of computational power, numerical simulation has become a routine tool in many scientific domains. However, the shift towards massive parallelism poses numerous challenges for algorithm design: parallelization must be considered from the outset of algorithm design. Recent successes have established the potential of parallel-in-time (PinT) integration as a powerful algorithmic paradigm, in addition to other forms ...
EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health Ghent University
EBRAINS is a collaborative European Research Infrastructure designed to advance and accelerate progress in neuroscience and brain health. This innovative infrastructure, a legacy of the Human Brain Project (HBP), is an ecosystem where researchers, clinicians and experts from various disciplines converge to explore and analyze brain complexity – from molecular and cellular levels to the functioning of the entire organ. Therefore, the project ...
EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health KU Leuven
EBRAINS is a collaborative European Research Infrastructure designed to advance and accelerate progress in neuroscience and brain health. This innovative infrastructure, a legacy of the Human Brain Project (HBP), is an ecosystem where researchers, clinicians and experts from various disciplines converge to explore and analyze brain complexity – from molecular and cellular levels to the functioning of the entire organ. Therefore, the project ...
Time parallel time integration methods for multiscale systems, with application in uncertainty quantification and optimization KU Leuven
Time parallel methods iteratively refine a cheap but inaccurate time integration by computing a sequence of corrections on different portions of the time domain in parallel. Such methods promise extra opportunities for parallellisation on exascale high performance computing architectures. In this PhD, we will study time parallel time integration methods for multiscale systems and apply them in the context of uncertainty quantification and ...
DEEP - Extreme Scale Technologies KU Leuven
The DEEP-EST (“DEEP - Extreme Scale Technologies”) project will create a first incarnation of the Modular Supercomputer Architecture (MSA) and demonstrate its benefits. In the spirit of the DEEP and DEEP-ER projects, the MSA integrates compute modules with different performance characteristics into a single heterogeneous system. Each module is a parallel, clustered system of potentially large size. A federated network connects the ...