Project reference: 2204 The aim of the project is to start the development of methodologies to analyse COPERNICUS satellite data to extract low-resolution bathymetric data in shallow coastal areas where multibeam echosounder data is lacking. These satellite bathymetric extrapolations will …
Automated Extraction of Satellite BAthymetric data by Artificial Intelligence strategies Read More »
Project reference: 2203 Neural networks (NN) and deep learning are two success stories in modern artificial intelligence. They have led to major advances in image recognition, automatic text generation, and even in self-driving cars. NNs are designed to model the …
Neural networks in chemistry – search for potential drugs for COVID-19 Read More »
Project reference: 2202 Nuclear fusion is one of the most promising methods for generating large-scale sustainable and carbon-free energy. Since the 19th century, the rapid rise of global energy consumption and the cumulative CO2 emissions from burning fossil fuels have …
Project reference: 2201 Loss of heterozygosity (LOH) is an evolutionary dynamic whereby heterozygous genomes progressively lose allele diversity according to natural selection. The result are genomic blocks of loss-of-heterozygosity (LOH blocks) where multiple homozygous alleles can be found in series. …
Leveraging HPC to test quality and scalability of a genetic analysis tool Read More »
Applications will be open in February 2022. See the Timeline for more details. PRACE Summer of HPC programme is announcing projects for 2022 for preview and comments by students. Please send questions to coordinators directly by the mid February. Clarifications will be …
Summer of HPC is a PRACE programme that offers summer placements at HPC centres across Europe to late-stage undergraduate and master’s students. Up to 66 top applicants from across Europe will be selected to participate in pairs on 33 projects …
Project reference: 2125 A reasonable part of the data analytics and statistical modelling community relies on the Stan language and software to implement particular models based on Bayesian approaches. This language allows users to specify stochastic models that are then …
Scaling HMC on large multi-CPU and/or multi-GPGPUs architectures Read More »
Project reference: 2124 The focus of this project will be on enhancing further hybrid (e.g. stochastic/ deterministic) methods for Linear Algebra using advanced AI approaches to accelerate the computations. The focus is on Monte Carlo hybrid methods and algorithms for …
Hybrid AI Enhanced Monte Carlo Methods for Matrix Computation on Advanced Architectures Read More »
Project reference: 2129 The main objective of this SoHPC project is to test how our existing code for energy consumption prediction scales from a local server to supercomputer. We have developed Python and R scripts to retrieve data, store it …
Big data management for better electricity consumption prediction Read More »
Project reference: 2117 Geographic information science and remote sensing deal with data that are unique in the sense that they carry spatial information with them. Unlike other data, geospatial data possesses a unique footprint on the surface of the earth …
Project reference: 2116 In this project, students will develop an efficient parallel algorithm for determining good upper bounds, if not the exact value, of a quantity called treewidth for arbitrary graphs. While computing the treewidth of an arbitrary graph is …
Parallel anytime branch and bound algorithm for finding the treewidth of graphs Read More »
Project reference: 2131 CFD is solving time dependent partial differential equations (PDE) and PDE is solved by numerical approximation. Which brings the system of equations (matrices and vectors) that need to be solved either by direct or indirect solvers. These …
Project reference: 2133 While High-Performance Computing (HPC) traditionally focuses on compute-intensive tasks, Big Data frameworks are more focused on data-intensive tasks. Our project aims at investigating the intersection of HPC and Big Data on the basis of case studies arising …
Project reference: 2132 Molecular surfaces have tremendous predictive power in terms of evaluating the interaction with potential binding partners, e.g. small molecules, drugs, biochemical ligands, antibodies, signaling molecules and many more. Consequently, an efficient method to produce such molecular surfaces …
Project reference: 2130 In recent years there has been a massive development in the high-performance computing architecture. More precisely, almost all the supercomputers are having the accelerators such as GPUs. On the other hand, there is a big question rising …
Project reference: 2128 S-gears are a specific variant of cylindrical gears with a modified tooth profile geometry that can, in several aspects, provide superior performance to more traditionally used involute or cycloid gears. This type of gears has in the …
Project reference: 2127 In the current times of ever-growing data, cross-site collaboration, and evolving new data processing techniques; moving to the cloud to carry out scientific research is becoming a commodity. With that shift, however, keeping track of where your …
Project reference: 2126 This project consists in benchmarking computational chemistry applications in the Dutch National supercomputer. The goal of this project is to get acquainted with different relevant software for scientific simulations and be able to analyse and describe the …
Project reference: 2122 Since twenty years, fast spectral methods have been developed for simulating rarefied gases. Such physical phenomenon can be modelled with Boltzmann-type equations that are written in 1D+nD+mD in the time-phase space (n = 1,2,3 and m=2,3). We …
Numerical simulation of Boltzmann-Nordheim equation Read More »
Project reference: 2123 Spacecraft missions and infrared measurements allowed to know that the surface of most asteroids is covered by a layer of unconsolidated granular material called the Regolith. A regolith is defined as a layer or mantle of loose, …
