List of Minisymposia

If you are interested in organizing a minisymposium, please send a tentative title and a brief description to esco2020@fel.zcu.cz.

Particle Simulations on the GPU for Industrial Applications

Nicolin Govender (govender.nicolin@gmail.com, Mondelez Research and Development, Bournville, UK), Daniel Wilke (University of Pretoria, South Africa), A. R. Thornton (University of Twente, Enschede, Netherlands)

This mini-symposium explores the impact of the GPU/HPC in engineering simulations of particulate systems and the role it is playing in shaping a new paradigm in design engineering and operation. Simulating an industrial-scale discrete element simulation remains a big challenge. However, GPU based computing platforms running efficient software is re-framing this perception as recently demonstrated by the open-source framework Blaze-DEM which allows for accurate particle shape representation using polyhedra. Talks with a focus on algorithms computational algorithms involving neighbour searching or spatial partitioning algorithms are welcomed. While this mini-symposium is primarily focused on DEM, SPH and LBM on the GPU CPU based applications focusing on speeding up particle simulations using coarse graining (Mercury DPM) or similar methods are welcome.

Multi- and Large-scale Particle Systems: HPC and Applications

Philipp Neumann (philipp.neumann@hsu-hh.de, Helmut-Schmidt University, Hamburg, Germany), A. R. Thornton (University of Twente, Enschede, Netherlands) M. Post, S. Hirschmann

Particle simulations are used in a variety of application settings, in particular also in various problem settings of process engineering. Although the particle models are often rather simplistic in terms of shape and interactions, careful tuning of the parametrizations poses a challenge, as well as multiscale and coupling considerations, for example in the scope of coupling particle dynamics with fluid flow. Additionally, due to their inherent motion in space, load imbalances may easily occur in particle simulations which need to be accounted for at algorithmic and implementational level. This minisymposium will shed light on current technology in terms of mathematical/physical models, underlying HPC-aware implementations including code optimization approaches and load balancing, and actual application cases.

Computational Statistics

Anna Panorska (ania@unr.com, University of Nevada, Reno, USA)

The “Big Data” data sets needed to be analyzed and converted to information come from many areas including engineering, business, biology-genomics, medicine, climate sciences and weather. The data comes in many different forms such as numbers, words, sequences, sentences, functions, or images. The modern analysis methods have to address both the statistical and computational issues in order to be effective. This minisymposium will explore the many different areas of statistics and data science where computation plays an important role.

Computers and ICT in Mathematics Education

José Luis Galán-García (jl_galan@uma.es, Universidad de Málaga, Spain), Eugenio Roanes-Lozano (eroanes@mat.ucm.es, Universidad Complutense de Madrid, Spain), Gabriel Aguilera-Venegas (gabri@ctima.uma.es, Universidad de Málaga, Spain), Pavel Solin (pavel@nclab.com, University of Nevada, Reno, USA)

The increasing use of computers and ICT (Information and Communication Technologies) in every kind of activity (industrial, academic, social, and other), is nowadays a fact that must be addressed. Specifically in Education, the computer and ICT are being used from different point of views in order to develop different Education strategies and techniques (programming, e-learning, blended learning, open and distance learning, learner-centered environments, …). It is very important to know the new trends in the use of Computer and ICT in Education since it is a field in constant evolution. In this minisymposium, proposals dealing with the use of Computers and ICT in Mathematics Education are welcome. The minisymposium will promote the outreach of new experiences, application of new educational models and techniques in Mathematics Education in which the use of computers and ICT have an key role.

Computational Methodologies for Next-Generation Climate Models

Mauro Perego (mperego@sandia.gov, Sandia National Laboratories, USA), Kara Peterson (kjpeter@sandia.gov, Sandia National Laboratories, USA), Irina Tezaur (ikalash@sandia.gov, Sandia National Laboratories, USA)

The development and application of global climate models for understanding and predicting the effects of global climate change and sea-level rise is critical, since it can direct energy and infrastructure planning, as well as inform public policy. Earth System Models (ESMs), which are global climate models including biogeochemistry, integrate the interactions between atmosphere, ocean, land, ice, and biosphere to enable the simulation of the state of regional and global climate under a wide variety of conditions. In recent years, there has been a push to develop “next generation” ESMs, models which: (1) are able to perform realistic, high-resolution, continental scale simulations, (2) are robust, efficient and scalable on next-generation hybrid systems (multi-core, many-core, GPU) towards achieving exascale performance, and (3) possess built-in advanced analysis capabilities (e.g., sensitivity analysis, optimization, uncertainty quantification).

This minisymposium will consist of talks describing new and ongoing research in the development of accurate and tractable “next-generation” models for stand-alone climate components (e.g., atmosphere, land-ice, sea-ice, ocean, land, biogeochemistry), as well talks addressing the challenges in coupling climate components for integration into ESMs. Of particular interest are:

  1. efficient computational strategies and software for tackling the complex, nonlinear, multi-scale, multi-physics problems arising in climate modeling, with an eye towards next-generation hybrid platforms, and
  2. advanced analysis techniques that can inform/enhance existing models through the incorporation of observational data, e.g., approaches for model initialization/calibration, uncertainty quantification and data assimilation.

Computational Transport Theory

Milan Hanus (mhanus@tamu.edu, Texas A&M University, College Station, Texas, USA)

A solution of the Boltzmann transport equation is a fundamental task in many engineering and research areas, as diverse as nuclear engineering, astrophysics, biomedicine, national security or visualization and computer graphics. While many analytical and numerical solution techniques have been used in the past to solve various simplified models, only the most recent advances in computing and computer architectures have enabled high-fidelity solution of realistic problems. These typically involve completely unstructured geometries, complex physics, as well as possible coupling of multiple physical models. The main theme of this mini-symposium is the computational transport theory applicable to real-world problems, including neutron, gamma-ray and photon transport, Monte-Carlo and deterministic methods, and approaches for solving coupled multi-physics problems. Of special interest are the methods that maintain their robustness and efficiency on current and upcoming large-scale HPC architectures, as well as interdisciplinary topics, like the applications of radiative transfer in meteorology or visualization.

PDE Eigenvalue Problems: Computational Modeling and Numerical Analysis

Stefano Giani (stefano.giani@durham.ac.uk, Durham University, UK), Jeffrey Ovall (jovall@pdx.edu, Portland State University, USA), Luka Grubišić (luka.grubisic@math.hr, University of Zagreb, Croatia), Harri Hakula (harri.hakula@aalto.fi, Aalto University, Finland), Pavel Solin (pavel@nclab.com, University of Nevada, Reno, USA)

Spectral analysis of differential operators provides important insight into the behaviour of physical systems, and is often essential in the design and optimization of such systems. Its central role in areas such as structural mechanics and quantum mechanics is well-established. Additionally, an appropriately chosen collection of eigenvectors is often very effective in significantly reducing the computational effort necessary to analyse complex systems. As such, the design and analysis of algorithms for computing eigenvalues and eigenvectors, as well as the extension to new applications, continue to be active and relevant areas of research, with significant room for further development.

The aim of this minisymposium is to present a broad survey of recent work on eigenvalue problems for partial differential equations, considering eigenvalue/vector computations both from the perspective of numerical analysis and in terms of applications for which such computations play an important role. Expected topics of discussion include: model order reduction, parameter-dependent eigenvalue problems, nonlinear eigenvalue problems, error analysis, self-adaptive approximation, inexact eigenvalue solvers and novel approximation techniques.

Phase Space And Applications

Francisco Gonzalez Montoya (fg16704@bristol.ac.uk), Matthaios Katsanikas (matthaios.katsanikas@bristol.ac.uk), Makrina Agaoglou (makrina.agaoglou@bristol.ac.uk)

This minisymposium is focused on the structure of the phase space and the associated transport mechanisms in Hamiltonian systems that arise in many fields of Nonlinear Dynamics like classical chemical reactions dynamics, nonlinear waves etc. In addition different aspects of Computational Applied Dynamical Systems will be presented.

The aim of the minisymphosium is to encourage the interdisciplinary research and collaboration. For this reason, the talks will be equally focused on pedagogical examples, and practical methods. This should provide participants more opportunities to exchange methods and ideas. We especially welcome applied mathematicians, physicists, chemists etc.

Smart Applications of Scientific Computing

Gabriel Aguilera-Venegas (gabri@ctima.uma.es, Universidad de Málaga, Spain), Jose Luis Galan-Garcia (jl_galan@uma.es, Universidad de Málaga, Spain), Eugenio Roanes-Lozano (eroanes@mat.ucm.es, Universidad Complutense de Madrid, Spain)

Nowadays there is a wide variety of mathematical software available: computer algebra systems, technical computing languages, automated deduction systems, ... This minisymposium is devoted to practical real-world applications of this software in fields like: transportation engineering, electrical engineering, medicine, knowledge based systems, smart cities, accelerated time simulations, models of queuing systems, ... (this is not an exhaustive list). The focus will be on advanced and smart applications with a nontrivial mathematical background.