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, …
Project reference: 2119 The paradigm of quantum computers is completely different from the paradigm of classical digital computers. Understanding this paradigm will allow the student to understand, for example, how it is possible that quantum computers are able to solve …
Project reference: 2118 Quantum computing is one of the scientific hot-topics nowadays with the potential to vastly improve our computation capacity in certain areas due to its use of quantum-bits offering superpositions and much faster computation, subsequently. Thus, it seems …
Project reference: 2121 Today’s supercomputing hardware provides a tremendous amount of floating point operations (FLOPs). However, most FLOPs can only be harvested easily, if the algorithm does exhibit lots of parallelism. Additionally, efficient use of resources strongly depends on the …
Project reference: 2120 Simulations of classical or quantum field theories often rely on a lattice discretized version of the underlying theory. For example, simulations of Lattice Quantum Chromodynamics (QCD, the theory of quarks and gluons) are used to study properties …
Project reference: 2115 Python is widely used in scientific research for tasks such as data processing, analysis and visualisation. However, it is not yet widely used for large-scale modelling and simulation on high performance computers due to its poor performance …
Performance of Parallel Python Programs on ARCHER2 Read More »
Project reference: 2114 Recent technological advances allow us to assess millions of genetic data points (>30 million) to identify their involvement in disease. This is a two orders of magnitude increase compared to the data available a few years ago. …
Re-engineering and optimizing Software for the discovery of gene sets related to disease Read More »
