If you are interested in organizing a minisymposium, please send a tentative title and a brief description to firstname.lastname@example.org.
Nicolin Govender (email@example.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.
Philipp Neumann (firstname.lastname@example.org, 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.
Anna Panorska (email@example.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.
José Luis Galán-García (firstname.lastname@example.org, Universidad de Málaga, Spain), Eugenio Roanes-Lozano (email@example.com, Universidad Complutense de Madrid, Spain), Pavel Solin (firstname.lastname@example.org, 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.
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:
Milan Hanus (email@example.com, 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.