Project reference: 2113 Exploitation of renewable energy sources is critical for humanity to timely address issues raised by climate change and for transitioning towards a sustainable zero-carbon economy. MPAS Atmosphere model, developed by the US National Center for Atmospheric Research, …
Investigating Scalability and Performance of MPAS Atmosphere Model Read More »
Project reference: 2112 Datacentre in production are characterized by the combination of extreme parallelism and performance demand. This translates in large number of resources to be management constantly stressed by intense computational patterns. Each of the HW and SW resources …
Combining Big-data, AI and 3D visualization for datacentre optimization Read More »
Project reference: 2111 Automatic techniques for recognition of submarine structures (e.g. canyons) are an absolute novelty in the Oceanographic field. Excluding some preliminary experiments (Ismail et al -2015, Huvenne -2002), right now the recognition on the seabed of structures like …
Project reference: 2110 High Energy Physics (HEP) community traditionally employed High Throughput Computing (HTC) type of facilities for the purpose of LHC data processing and various types of physics analyses. Furthermore, with recent convergence of AI and HPC, it becomes …
Project reference: 2109 High Energy Physics (HEP) community has a large number of various workloads (e.g. pure statistical analysis vs LHC event reconstruction) that differ not only by their requirements (compute vs I/O driven) but also by the capability of …
Project reference: 2108 Solution of independent-particle model (DFT or Hartree-Fock method) is one of the key targets of many quantum chemistry codes. Hartree-Fock method is iterative procedure which consist of two time-consuming steps. First, construction of Fock matrix from integrals …
Efficient Fock matrix construction in localized Hartree-Fock method Read More »
Project reference: 2107 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 …
Project reference: 2106 The NMMB/MONARCH (formerly NMMB/BSC-Dust) (Pérez et al., 2011; Haustein et al., 2012) is an online multi-scale atmospheric dust model designed and developed at the Barcelona Supercomputing Center (BSC-CNS) in collaboration with the NOAA’s National Centers for Environmental …
Project reference: 2105 Biomedical and Life Sciences are two of the main areas presenting a considerable growth in literature through the last decade, which is demonstrated by the increase in articles indexed in PubMed (a database of biomedical articles). An …
Cross-Lingual Transfer learning for biomedical texts Read More »
Project reference: 2104 Machine learning applications will dominate edge and mobile applications in the future. While most of the training takes place on HPC clusters and many are deployed in the cloud, some of these applications still have to run …
Building Resilient Machine Learning Applications (From HPC to Edge) Read More »
Project reference: 2103 High Performance Computing (HPC) clusters have evolved to complex systems with a tremendous number of components. An HPC cluster is much more than the mere sum of its parts. A fast CPU is nothing without a fast …
Precision based differential checkpointing for HPC applications Read More »
Project reference: 2102 Mitigating climate change is one of the most important humankind challenges at the time. Since the 19th century, fossil fuels’ global use has increased and dominated world energy consumption and supply. The rapid rise of global energy …
Computational atomic-scale modelling of materials for fusion reactors Read More »
Project reference: 2101 Outstanding capabilities for computation are useless if data is not where it is needed in time. This is common knowledge in computer architecture, even more so now that systems are extremely parallel and memory bandwidth gets scarcer …
Analysis of data management policies in HPC architectures Read More »
Applications are open from 15th of January 2021 to 12th of April 2021. See the Timeline for more details. PRACE Summer of HPC programme is announcing projects for 2021 for preview and comments by students. Please send questions to coordinators directly by …
Project reference: 2024 Creating a mesh* – a discretized surface enclosing a given spatial object – is a compute-intensive task central to many scientific fields ranging from physics (Maxwell’s Eq., CFD, MD) to computational biology (PB, MM/PBSA, cryo-EM, Struct. Bio). …
Project reference: 2023 Nowadays, most High-Performance Computing (HPC) systems are clusters that are built out of shared-memory nodes. The nodes itself consist of several CPUs that provide a couple of cores where the code doing the actual computational work gets …
Project reference: 2022 As HPC systems get more heterogeneous in nature, it is sometimes feasible to have a single programming model can take a advantage of it. In some cases it is really beneficial where programmers do not need to …
Novel HPC Parallel Programming Models for Computing (both in CPU and GPU) Read More »
Project reference: 2021 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: 2020 Over the past decades a vast number of algorithms have been proposed to solve problems in combinatorial optimization either approximately or up to optimality. But despite the availability of high-performance infrastructure in recent years only a small …
Implementation of Paralllel Branch and Bound algorithm for combinatorial optimization Read More »
Project reference: 2019 Due to plasma complexity, different mathematical models depending on the different physical aspects are used for describing plasma. The most complete and used plasma description is the kinetic model, which describes the motion of each particle in …
Implementing task based parallelism for plasma kinetic code Read More »
