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DTSTAMP:20230831T095754Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230627T100000
DTEND;TZID=Europe/Stockholm:20230627T103000
UID:submissions.pasc-conference.org_PASC23_sess110@linklings.com
SUMMARY:Flash Poster Session - Part II
DESCRIPTION:Poster\n\nThe aim of this rapid-fire session is to allow poste
 r presenters to introduce the topic of their poster and motivate the audie
 nce to visit them at the poster session scheduled on the following day. Pr
 esenters will have 30 seconds to engage the audience.\n\nThe Flash Poster 
 Session is sponsored by the Royal Society of Chemistry Journals (https://w
 ww.rsc.org/). Winners of the poster competition will receive a voucher pri
 ze generously offered by the Digital Discovery (https://www.rsc.org/journa
 ls-books-databases/about-journals/digital-discovery/) and by PCCP (https:/
 /pubs.rsc.org/en/journals/journalissues/cp#!recentarticles&adv) during the
  award session scheduled on the last day of the conference.\n\nP43 - Multi
 level and Domain-Decomposition Solution Strategies for Solving Large-Scale
  Phase-Field Fracture Problems\n\nThe phase-field approach for fracture pr
 opagation is a state-of-the-art technique for simulating crack initiation,
  propagation, and coalescence. In this approach, a damage field, called th
 e phase field, is introduced that characterizes the material state from in
 tact to fully broken. Even though the ...\n\n\nHardik Kothari (Università 
 della Svizzera italiana); Alena Kopanicakova (Brown University, Università
  della Svizzera italiana); Patrick Zulian (Università della Svizzera itali
 ana, UniDistance Suisse); Maria Nestola (Università della Svizzera italian
 a); Edoardo Pezzulli and Thomas Driesner (ETH Zurich); and Rolf Krause (Un
 iversità della Svizzera italiana, UniDistance Suisse)\n-------------------
 --\nP38 - Loki v0.1.1: A Source-To-Source Translation Tool for Numerical W
 eather Prediction Codes and More\n\nAll known or presumed candidates for e
 xascale supercomputers will feature novel computing hardware or heterogene
 ous architectures, with GPUs currently being a cornerstone of this develop
 ment. Using these machines efficiently with today's numerical weather pred
 iction (NWP) codes requires adapting lar...\n\n\nMichael Staneker, Ahmad N
 awab, Balthasar Reuter, and Michael Lange (ECMWF)\n---------------------\n
 P56 - The P4est Software for Parallel AMR: A Shared Memory Workflow\n\nPar
 allel adaptive mesh refinement (AMR) is a key technique when simulations a
 re required to capture time-dependent and/or multiscale features. A forest
  of octrees is a data structure to represent the recursive adaptive refine
 ment of an initial, conforming coarse mesh of hexahedra. This poster prese
 n...\n\n\nMikhail Kirilin and Carsten Burstedde (University of Bonn)\n----
 -----------------\nP33 - ICON-GPU for Numerical Weather Prediction – A Sta
 tus Report\n\nWeather prediction centers are always seeking ways to improv
 e the computational performance of their numerical weather prediction (NWP
 ) models while staying within budget. The era of ever improving scalar CPU
  has come to an end but massively multiprocessing GPUs are advertised as t
 he next step forwa...\n\n\nMarek Jacob (DWD); Dmitry Alexeev (NVIDIA Inc.)
 ; Daniel Hupp and Xavier Lapillonne (MeteoSwiss); and Florian Prill, Danie
 l Reinert, and Günther Zängl (DWD)\n---------------------\nP49 - Simulatin
 g Aquaplanet Using ICON with a GT4Py DSL Dynamical Core\n\nWe present the 
 results of our efforts porting the dynamical core of the ICON climate and 
 numerical weather prediction (NWP) model to GT4Py. GT4Py is a Domain Speci
 fic Language (DSL) designed for weather and climate applications, which al
 lows domain scientists to write performance portable climate an...\n\n\nCh
 ristoph Müller (MeteoSwiss); Abishek Gopal (ETH Zurich / CSCS); Nicoletta 
 Farabullini (ETH Zurich); Till Ehrengruber (ETH Zurich / CSCS); Samuel Kel
 lerhals, Peter Kardos, and Magdalena Luz (ETH Zurich); Matthias Röthlin (M
 eteoSwiss); Enrique G. Paredes (ETH Zurich / CSCS); David Leutwyler and Be
 njamin Weber (MeteoSwiss); Rico Häuselmann and Felix Thaler (ETH Zurich / 
 CSCS); Jonas Jucker (ETH Zurich); Linus Groner, Hannes Vogt, and Mauro Bia
 nco (ETH Zurich / CSCS); Anurag Dipankar (ETH Zurich); and Carlos Osuna an
 d Xavier Lapillonne (MeteoSwiss)\n---------------------\nP46 - Parallel Se
 cond Order Conservative Remapping on the Sphere\n\nWe present an MPI-paral
 lel implementation and analysis of a conservative second-order interpolati
 on method between arbitrary very high resolution spherical meshes supporte
 d by the Atlas library of ECMWF. Hence, meshes are those used by ECMWF’s I
 FS model: structured grids such as the reduced Ga...\n\n\nSlavko Brdar, Wi
 llem Deconinck, Pedro Maciel, and Michail Diamantakis (ECMWF)\n-----------
 ----------\nP53 - Ultra-High Resolution Simulations of Planetary Collision
 s\n\nGiant impacts (GI) form the last stage of planet formation and play a
  key role in determining many aspects like the final structure of planetar
 y systems and the masses and compositions of its constituents. A common ch
 oice for numerically solving the equations of motion is the Smoothed Parti
 cle Hydro...\n\n\nThomas Meier, Christian Reinhardt, Douglas Potter, and J
 oachim Stadel (University of Zurich)\n---------------------\nP50 - Towards
  a GPU-Enabled Linear-Response Algorithm in the SIRIUS Library\n\nElectron
 ic-structure approaches have become integral in materials science, physics
  and chemistry for studying existing and designing and discovering novel m
 aterials. Among the properties that can be studied, spectral properties of
  materials provide a wealth of information, and can be obtained from K...\
 n\n\nGiannis D. Savva and Iurii Timrov (EPFL), Nicola Colonna (Paul Scherr
 er Institute), Anton Kozhevnikov (ETH Zurich / CSCS), and Nicola Marzari (
 EPFL)\n---------------------\nP55 - Novel Geometric Deep Learning Surrogat
 e Framework for Non-Linear Finite Element Simulations\n\nConventional nume
 rical methods are computationally expensive in simulating non-linear pheno
 mena arising in mechanics. In this aspect, deep learning (DL) techniques a
 re being increasingly used for accelerating simulations in mechanics. Howe
 ver, existing DL methods perform inefficiently as the size an...\n\n\nSaur
 abh Deshpande (University of Luxembourg); Jakub Lengiewicz (University of 
 Luxembourg, IPPT PAN); and Stéphane Bordas (University of Luxembourg)\n---
 ------------------\nP37 - LIBRSB: Multicore Sparse Matrix Performance Acro
 ss Languages and Architectures\n\nLIBRSB (http://librsb.sf.net/) is a high
 ly interoperable multicore CPU-oriented library for sparse matrix computat
 ions.<br />It serves as a component in sparse linear solvers. LIBRSB build
 s upon its "RSB" hierarchical and coarse-grained sparse matrices storage. 
 The RSB data structure and algorithms ...\n\n\nMichele Martone (Leibniz Su
 percomputing Centre)\n---------------------\nP52 - Tunable and Portable Ex
 treme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach\n\nTo
 day digital revolution is having a dramatic impact on the pharmaceutical i
 ndustry and the entire healthcare system. The implementation of machine le
 arning, extreme-scale computer simulations, and big data analytics in the 
 drug design and development process offers an excellent opportunity to low
 er...\n\n\nAndrea Beccari (Dompé farmaceutici), Silvano Coletti (Chelonia 
 SA), Biagio Cosenza (Università di Salerno), Andrew Emerson (CINECA), Thom
 as Fahringer (University of Innsbruck), Daniele Gregori (E4 Engineering), 
 Philipp Gschwandtner (UIBK), Erik Lindahl (KTH Royal Institute of Technolo
 gy), Jan Martinovic (IT4Innovations National Supercomputing Center), Gianl
 uca Palermo (Politecnico di Milano), and Torsten Schwede (University of Ba
 sel)\n---------------------\nP51 - Towards a Python-Based Performance-Port
 able Finite-Volume Dynamical Core for Numerical Weather Prediction\n\nWe p
 resent recent progress in the development of a high-performance Python imp
 lementation of the FVM non-hydrostatic dynamical core at ECMWF and its mem
 ber state partners. The FVM numerical formulation centred about 3D semi-im
 plicit time integration of the fully compressible equations with finite-vo
 ...\n\n\nStefano Ubbiali (ETH Zurich), Till Ehrengruber (ETH Zurich / CSCS
 ), Nicolai Krieger (ETH Zurich), Christian Kühnlein (ECMWF), and Lukas Pap
 ritz and Heini Wernli (ETH Zurich)\n---------------------\nP35 - Investiga
 ting the Mechanism of a Local Windstorm in the Swiss Alps Using Large-Eddy
  Simulations\n\nThe Laseyer windstorm is a local and strong wind phenomeno
 n in the narrow Schwende valley in northeastern Switzerland. The phenomeno
 n has raised the interest of meteorologists as it has - in the past - led 
 to derailments of the local train. It is characterised by easterly to sout
 heasterly winds duri...\n\n\nNicolai Krieger (ETH Zurich), Christian Kühnl
 ein (ECMWF), and Michael Sprenger and Heini Wernli (ETH Zurich)\n---------
 ------------\nP44 - Numerical Simulation of Gradual Compaction of Granular
  Materials and the Uncertainty Quantification of the Proposed Mathematical
  Model\n\nThe poster deals with mathematical modelling of granular materia
 ls and focuses on the process of their gradual compaction called ratchetti
 ng. The model of hypoplasticity introduced by E. Bauer et al. is investiga
 ted and the problem of stress-controlled hypoplasticity is considered. The
  behaviour of ...\n\n\nJudita Runcziková and Jan Chleboun (Czech Technical
  University in Prague)\n---------------------\nP32 - High-Throughput Compu
 tational Screening of Fast Li-Ion Conductors\n\nWe present a high-throughp
 ut computational screening to find fast Li-ion conductors to identify prom
 ising candidate materials for application in solid-state electrolytes. Sta
 rting with ~30,000 experimental structures sourced from COD, ICSD and MPDS
  repositories, we performed highly automated calcula...\n\n\nTushar Thakur
 , Loris Ercole, and Nicola Marzari (EPFL)\n---------------------\nP42 - Mu
 ltigrid in H(curl) on Hybrid Tetrahedral Grids\n\nIn many applications lar
 ge scale solvers for Maxwell's equations are an indispensable tool. This w
 ork presents theory and algorithms that are relevant to the solution of Ma
 xwell's equations as well as their implementation in HyTeG. We focus on mu
 ltigrid methods for the curl-curl-problem which arises...\n\n\nDaniel Baue
 r (Friedrich-Alexander-Universität Erlangen-Nürnberg)\n-------------------
 --\nP47 - Parallel Training of Deep Neural Networks\n\nDeep neural network
 s (DNNs) are used in a wide range of application areas and scientific fiel
 ds. The accuracy and the expressivity of the DNNs are tightly coupled to t
 he number of parameters of the network as well as the amount of data used 
 for training. As a consequence, the networks and the amount...\n\n\nSamuel
  Cruz (Università della Svizzera italiana, UniDistance Suisse); Alena Kopa
 nicakova (Brown University, Università della Svizzera italiana); Hardik Ko
 thari (Università della Svizzera italiana); and Rolf Krause (Università de
 lla Svizzera italiana, UniDistance Suisse)\n---------------------\nP41 - M
 PI for Multi-Core, Multi Socket, and GPU Architectures: Optimised Shared M
 emory Allreduce\n\nIn the literature the benefits of shared memory collect
 ives especially allreduce have been shown. This intra-node communication i
 s not only necessary for single node communications but it is also a key c
 omponent of more complex inter-node communication algorithms [1]. In contr
 ast to [2], our impleme...\n\n\nAndreas Jocksch and Jean-Guillaume Piccina
 li (ETH Zurich / CSCS)\n---------------------\nP48 - ProtoX: A First Look\
 n\nStencil operation is a key component in the numerical solution of parti
 al differential equations. Developers tend to use different libraries that
  provide these operations for them. One such library is Proto. It is a C++
  based domain specific library designed to provide an intuitive interface 
 that op...\n\n\nHet Mankad and Sanil Rao (Carnegie Mellon University), Phi
 l Colella and Brian Van Straalen (Lawrence Berkeley National Laboratory), 
 and Franz Franchetti (Carnegie Mellon University)\n---------------------\n
 P30 - High Performance Computing Meets Approximate Bayesian Inference\n\nD
 espite the ongoing advancements in Bayesian computing, large-scale inferen
 ce tasks continue to pose a computational challenge that often requires a 
 trade-off between accuracy and computation time. Combining solution strate
 gies from the field of high-performance computing with state-of-the-art st
 ati...\n\n\nLisa Gaedke-Merzhäuser (Università della Svizzera italiana), H
 aavard Rue (King Abdullah University of Science and Technology), and Olaf 
 Schenk (Università della Svizzera italiana)\n---------------------\nP36 - 
 Iterative Refinement With Hierarchical Low-Rank Preconditioners Using Mixe
 d Precision\n\nIt has been shown that the solution to a dense linear syste
 m can be accelerated by using mixed precision iterative refinement relying
  on approximate LU-factorization. While most recent work has focused on ob
 taining such a factorization at a reduced precision, we investigate an alt
 ernative via low-ra...\n\n\nThomas Spendlhofer and Rio Yokota (Tokyo Insti
 tute of Technology)\n---------------------\nP34 - Interpretable Compressio
 n of Fluid Flows Using Graph Neural Networks\n\nNeural network (NN) based 
 reduced-order models (ROMs) via autoencoding have been shown to drasticall
 y accelerate traditional computational fluid dynamics (CFD) simulations fo
 r rapid design optimization and prediction of fluid flows. However, many r
 eal-world applications (e.g. hypersonic propulsion, ...\n\n\nShivam Barwey
  (Argonne National Laboratory) and Romit Maulik (Argonne National Laborato
 ry, University of Pennsylvania)\n---------------------\nP31 - High-Perform
 ance Computing by and for Patient Specific Mechanical Properties\n\nModeli
 ng the mechanical behavior of human trabecular bones improves technical ap
 plications and the treatment of fractures and bone or joint related diseas
 es. However, this type of bone consists of a large number of struts and pl
 ates, resulting in a highly anisotropic and patient specific behavior. F..
 .\n\n\nJohannes Gebert, Ralf Schneider, and Michael Resch (High-Performanc
 e Computing Center Stuttgart, University of Stuttgart)\n------------------
 ---\nP40 - Modeling a Novel Laser-Driven Electron Acceleration Scheme: Par
 ticle-In-Cell Simulations at the Exascale\n\nIntense femtosecond lasers fo
 cused on low-density gas jets can accelerate ultra-short electron bunches 
 up to very high energies (from hundreds of MeV to several GeV) over a few 
 millimeters or a few centimeters. However, conventional laser-driven elect
 ron acceleration schemes do not provide enough ch...\n\n\nLuca Fedeli (CEA
 ), Axel Huebl (Lawrence Berkeley National Laboratory), France Boillod-Cern
 eux and Thomas Clark (CEA), Kevin Gott (Lawrence Berkeley National Laborat
 ory), Conrad Hillairet (Arm), Stephan Jaure (Atos), Adrien Leblanc (ENSTA)
 , Rémi Lehe and Andrew Myers (Lawrence Berkeley National Laboratory), Chri
 stelle Piechurski (GENCI), Mitsuhisa Sato (RIKEN), Neil Zaim (CEA), Weiqun
  Zhang and Jean-Luc Vay (Lawrence Berkeley National Laboratory), and Henri
  Vincenti (CEA)\n---------------------\nP45 - Optimization of Non-Conventi
 onal Airfoils for Martian Rotorcraft with Direct Numerical Simulations Usi
 ng High-Performance Computing\n\nDesign of rotorcraft for Mars is challeng
 ing due to the very low density and low speed of sound compared to Earth. 
 These conditions require Martian rotor blades to operate in a low-Reynolds
 -number (1,000 to 10,000 based on chord) compressible flow regime, atypica
 l of conventional, terrestrial helico...\n\n\nLidia Caros, Oliver Buxton, 
 and Peter Vincent (Imperial College London)\n\nSession Chair: Jibonananda 
 Sanyal (National Renewable Energy Laboratory)
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