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DTSTAMP:20250822T115808Z
LOCATION:Campussaal - Plenary Room
DTSTART;TZID=Europe/Stockholm:20250616T102000
DTEND;TZID=Europe/Stockholm:20250616T105000
UID:submissions.pasc-conference.org_PASC25_sess149@linklings.com
SUMMARY:Flash Poster Session - Part I
DESCRIPTION:P04 - Calculation of Spin Hole Qubit Eigenstates with GPU-Acce
 lerated Rayleigh–Chebyshev Subspace Iteration Method\n\nQuantum computers 
 leverage quantum mechanical effects to solve complex problems exponentiall
 y faster than classical computers. Their building blocks, or 'qubits', can
  be realized with different technologies. Silicon spin hole qubits are one
  of the most promising ones, thanks to their long coherence ...\n\n\nAlexa
 nder Maeder, Ilan Bouquet, Vincent Maillou, and Alexandros Nikolaos Ziogas
  (ETH Zurich); Chris Anderson (UCLA); and Mathieu Luisier (ETH Zurich)\n--
 -------------------\nP06 - Code-Generation of Highly Efficient Finite Elem
 ent Operations Using the MLIR Compiler Infrastructure\n\nThe immense finan
 cial and environmental cost of high performance computing (HPC) infrastruc
 ture demands highly efficient and hardware specific software. In modern ex
 ascale hardware, the development of efficient kernels requires addressing 
 both hardware heterogeneity and the memory bandwidth bottlene...\n\n\nEdwa
 rd Erasmie-Jones (King's College London), Giacomo Castiglioni (ETH Zurich 
 / CSCS), and David Moxey (King's College London)\n---------------------\nP
 09 - Efficient Execution of Multiphysics Simulation Assembly Using Kokkos:
 :Graph\n\nThe computation of elemental system matrices and right-hand-side
  vectors and their assembly into sparse linear algebra data structures is 
 a key component of many multiphysics simulation codes. When the assembly i
 nvolves multiple types of governing equations that might also change by su
 bdomain (heter...\n\n\nMaarten Arnst and Romin Tomasetti (University of Li
 ège)\n---------------------\nP15 - Fostering the Wider Adoption of High-Pe
 rformance Computing by UK-Based Arts and Humanities Researchers via Nation
 al Training and Community-Building Initiatives\n\nThe integration of compu
 ting innovations into Arts and Humanities (A&H) research is crucial. Howev
 er, high-performance computing (HPC) is not widely used in A&H, posing ris
 ks to interdisciplinary integration with sciences that use advanced comput
 ational methods. Efforts in the UK to address the digi...\n\n\nEamonn Bell
  (Durham University) and Karina Rodriguez Echavarria (University of Bright
 on)\n---------------------\nP14 - Flux-Form Semi-Lagrangian (FFSL) Schemes
  on a Triangular Mesh\n\nFlux-Form Semi-Lagrangian (FFSL) schemes for the 
 solution of hyperbolic partial differential equations are popular since th
 ey allow for high CFL numbers. There are applications in plasma physics an
 d weather and climate simulations. For the latter recently icosahedral mes
 hes on a spherical domain are...\n\n\nAndreas Jocksch (ETH Zurich / CSCS),
  Nina Burgdorfer (MeteoSwiss), Daniel Reinert (DWD), Christoph Mueller (Me
 teoSwiss), and David Strassmann and Roger Käppeli (ETH Zurich)\n----------
 -----------\nP12 - Enhancing Productivity and Performance Analysis on Euro
  HPC Systems\n\nLarge-scale EuroHPC High-Performance Computing (HPC) syste
 ms, such as Leonardo and Lumi, present significant challenges for develope
 rs. A key difficulty is adapting their software to new architectures, acce
 lerators and different compiler options in order to fully leverage availab
 le resources. As a r...\n\n\nMichael Redenti and Nitin Shukla (CINECA)\n--
 -------------------\nP03 - Bit-IF: An Incremental Sparse Tensor Format for
  Maximizing Efficiency in Tensor-Vector Multiplications\n\nThis poster pre
 sents **Bit-IF** (Incremental Sparse Fibers with Bit Encoding), a novel sp
 arse tensor format designed to reduce the storage requirements of large te
 nsors and improve the efficiency of tensor operations, particularly of ten
 sor-vector multiplication (TVM). As datasets in many scientific...\n\n\nXi
 aohe Niu (mcs Software AG); Georg Meyer (Friedrich-Alexander-Universität E
 rlangen-Nürnberg, Università della Svizzera italiana); Dimosthenis Pasadak
 is (Università della Svizzera italiana, Panua Technologies); Albert-Jan N.
  Yzelman (Huawei Zurich Research Center); and Olaf Schenk (Università dell
 a Svizzera italiana, Panua Technologies)\n---------------------\nP24 - How
  to Build an Energy Dataset for HPC\n\nQuantifying the energy consumption 
 in HPC domain is becoming increasingly critical nowadays, driven by rising
  energy costs. To gain a comprehensive understanding of the energy footpri
 nt created by the significant power demand of modern systems like Alps, wh
 ich exceeds its predecessor Piz Daint in en...\n\n\nMathilde Gianolli, Mas
 simo Benini, Jean-Guillaume Piccinali, Gianna Marano, and Dino Conciatore 
 (ETH Zurich / CSCS)\n---------------------\nP19 - A GPU-Accelerated Implem
 entation of Spectrum Slicing for Plane-Wave Density Functional Theory in A
 BINIT\n\nWe consider the problem of accelerating the iterative diagonaliza
 tion of Hamiltonian operators for electronic structure calculations in pla
 ne-wave Density Functional Theory. The complexity bottleneck of existing s
 ubspace iteration schemes is that the Rayleigh-Ritz procedure for extracti
 ng eigenvecto...\n\n\nIoanna-Maria Lygatsika and Marc Torrent (CEA, Univer
 sité Paris-Saclay)\n---------------------\nP07 - A Deep Dive into Deep Lea
 rning Frameworks for Protein Structure Prediction: Developing and Evaluati
 ng Classes of Biomolecular Complexes\n\nAccurately predicting the structur
 e of a protein has been a long standing and extremely challenging problem 
 in biology. In recent years, the rapid evolution and adoption of artificia
 l intelligence (AI) in scientific domains including biology have made the 
 prediction of protein structures leveraging ...\n\n\nVerónica G. Melesse V
 ergara, Érica Texeira Prates, Manesh Shah, and Dan Jacobson (Oak Ridge Nat
 ional Laboratory)\n---------------------\nP21 - Graph Abstraction for Effi
 cient Scheduling of Asynchronous Workloads on GPU\n\nMany computational ph
 ysics simulations need to efficiently execute asynchronous workloads (FEM 
 assembly, linear algebra, etc) that can be organised as a Direct Acyclic G
 raph (DAG). Ad hoc scheduling of these asynchronous workloads is an additi
 onal burden to the code and might not fully exploit the a...\n\n\nRomin To
 masetti and Maarten Arnst (University of Liège)\n---------------------\nP2
 0 - GPU-Accelerated Matrix Decomposition and Selected Inversion for Banded
  Arrowhead Matrices\n\nMatrix inversion is a fundamental operation in line
 ar algebra which arises in various scientific problems. Many applications 
 are cast as sparse linear systems, however, when inverted, they produce de
 nse matrices. In some cases, only a subset of the complete inverse—referre
 d to as selected inve...\n\n\nCarla Lopez Zurita (ETH Zurich); Lisa Gaedke
 -Merzhäuser (King Abdullah University of Science and Technology, Universit
 à della Svizzera italiana); Vincent Maillou (ETH Zurich); and Olaf Schenk 
 (Università della Svizzera italiana)\n---------------------\nP01 - Achievi
 ng Performance Portability on ECMWF’s Open-Source Operational Wave Model e
 cWAM Using Source-To-Source Translation and GPU-Aware Data-Structures\n\nI
 t can be quite challenging to adapt production numerical weather predictio
 n (NWP) codes for GPU execution. Those codes have typically been developed
  and optimised for multi-core CPUs and are continually being updated by do
 main scientists. Additional complexity arises from the vast size of these 
 cod...\n\n\nMichael Staneker and Ahmad Nawab (ECMWF)\n--------------------
 -\nP17 - GPU-Accelerated DEM Simulations for Complex Particle Shapes: Opti
 mizing Spheropolyhedron Contact Detection\n\nThe Discrete Element Method (
 DEM) is an N-body numerical method widely used to model granular materials
  with various particle shapes, including complex geometries like spheropol
 yhedra. A major computational challenge in DEM lies in contact detection, 
 particularly for such complex shapes, which invol...\n\n\nCarlo Elia Donce
 cchi (CEA)\n---------------------\nP22 - GT4Py: A Python Framework for the
  Development of High-Performance Weather and Climate Applications\n\nGT4Py
  is a Python framework for weather and climate applications simplifying th
 e development and maintenance of high-performance codes in prototyping and
  production environments. \nGT4Py separates model development from hardwar
 e-dependent optimizations, instead of intermixing them in source code, as 
 ...\n\n\nMauro Bianco (ETH Zurich / CSCS); Yilu Chen (ETH Zurich); Till Eh
 rengruber (ETH Zurich / CSCS); Sara Faghih-Naini (ECMWF); Nicoletta Farabu
 llini (ETH Zurich); Abishek Gopal (NCAR, ETH Zurich); Rico Häuselmann (ETH
  Zurich / CSCS); Samuel Kellerhals (ETH Zurich); Christos Kotsalos and Ioa
 nnis Magkanaris (ETH Zurich / CSCS); Magdalena Luz (ETH Zurich); Christoph
  Müller (MeteoSwiss); Philip Müller, Edoardo Paone, and Enrique González P
 aredes (ETH Zurich / CSCS); David Strassmann (ETH Zurich); and Felix Thale
 r, Hannes Vogt, and Thomas Schulthess (ETH Zurich / CSCS)\n---------------
 ------\nP13 - Estimation of Calving Law Parameters from Satellite Data\n\n
 Capturing the calving front motion is critical for simulations of ice shel
 ves and tidewater glaciers. Multiple physical processes, including sliding
 , water pressure and failure need to be understood to accurately model the
  front. Calving is particularly challenging due to its discontinuous natur
 e an...\n\n\nDaniel Abele (German Aerospace Center, Technical University o
 f Munich); Achim Basermann (German Aerospace Center); Martin Burger (DESY,
  University of Hamburg); Hans-Joachim Bungartz (Technical University of Mu
 nich); and Angelika Humbert (Alfred-Wegener-Institut, Helmholtz-Zentrum fü
 r Polar- und Meeresforschung; University of Bremen)\n---------------------
 \nP26 - Improving Productivity of Threaded Scientific Applications with Qu
 o Vadis\n\nScientific discovery is increasingly enabled by heterogeneous h
 ardware that includes multiple processor types, deep memory hierarchies, a
 nd heterogeneous memories. To effectively utilize this hardware, computati
 onal scientists must compose their applications using a combination of pro
 gramming models...\n\n\nEdgar A. Leon (Lawrence Livermore National Laborat
 ory); Samuel K. Gutierrez (Los Alamos National Laboratory); and Guillaume 
 Mercier (Bordeaux-INP; Inria, CNRS, LaBRI UMR 5800)\n---------------------
 \nP02 - Advances in HPC-Oriented Refactoring Techniques with Coccinelle\n\
 nOur collaboration around the Coccinelle tool aims at streamlining mainten
 ance of large software projects in HPC.\nWe are developing techniques to m
 odify large swathes of C/C++ codes and introduce e.g.:\nGPU support, repla
 ce an API with another, introduce modern C++ according to guidelines, chan
 ge para...\n\n\nMichele Martone (Leibniz Supercomputing Centre) and Julia 
 Lawall and Victor Gambier (INRIA)\n---------------------\nP11 - Enabling L
 attice QCD Normalizing Flows in HPC Infrastructures\n\nThe Horizon Europe 
 project interTwin aims at developing a prototype for a multidisciplinary D
 igital Twin Engine, applicable across a whole spectrum of scientific disci
 plines: High Energy Physics (HEP), Environment, Climate, etc. As part of t
 his effort we explore the extent to which Machine Learning ...\n\n\nMatteo
  Bunino (CERN), Isabel Campos Plasencia (IFCA/CSIC), Javad Komijani and Ma
 rina Marinkovic (ETH Zurich), Gaurav Sinha Ray (IFCA/CSIC), Rakesh Sarma (
 Forschungszentrum Jülich), and Jarl Sondre Saether (CERN)\n---------------
 ------\nP16 - GPU Porting of ECMWF Physical Parametrizations Using a High-
 Level Programming Model\n\nWe present recent developments in the GPU porti
 ng using the domain-specific library GridTools for Python (GT4Py) of three
  physical parametrizations from the Integrated Forecasting System (IFS) of
  the European Centre for Medium-Range Weather Forecasts (ECMWF): the cloud
  microphysics packages CLOUDSC ...\n\n\nGabriel Vollenweider and Stefano U
 bbiali (ETH Zurich), Christian Kühnlein (ECMWF), and Heini Wernli (ETH Zur
 ich)\n---------------------\nP18 - GPU-Accelerated Fluid-Structure Interac
 tion Resampling in FEM, Including Application of 3-Dimensional 4th-Order W
 ENO\n\nThis work addresses the HPC challenges of fluid structure iteration
  (FSI), focusing on the computational efficiency of mesh resampling. A maj
 or computational challenge arises from the fact that the method requires g
 ather and scatter memory access, which introduces a significant memory bar
 rier, and t...\n\n\nSimone Riva (Università della Svizzera italiana, Euler
  institute) and Patrick Zulian (Università della Svizzera italiana, Euler 
 institute; UniDistance Suisse)\n---------------------\nP05 - The Chatbot U
 pdate System (CUS): An Effective Interface to Train AI\n\nWith the rise of
  AI in many disciplines and the proliferation of chatbots in many applicat
 ions, various chatbots need training to properly respond to human users. I
 n this presentation, I report on a chatbot training interface that I devel
 oped named CUS, the Chatbot Update System. CUS was developed f...\n\n\nSte
 phen Francis (Brigham Young University)\n---------------------\nP08 - Deve
 loping a Portable Implementation for the Next-Generation ECMWF Model\n\nWe
  present the development of a portable high-level Python implementation fo
 r the next-generation ECMWF global dynamical core designed to facilitate s
 imulations at extreme numerical resolutions. This new model framework, cal
 led the Portable Model for Multi-Scale Atmospheric Prediction (PMAP), is a
 n ...\n\n\nSara Faghih-Naini (ECMWF); Till Ehrengruber (ETH Zurich / CSCS)
 ; Stefano Ubbiali (ETH Zurich); Lukas Papritz (ETH Zurich, ECMWF); and Chr
 istian Kühnlein (ECMWF)\n---------------------\nP10 - Electronic Structure
  Calculations Powered by DLA-Future\n\nDLA-future implements efficient mul
 ticore and GPU eigenvalue solvers, designed around C++'s std::execution co
 ncurrency proposal (P2300) as implemented in pika. DLA-Future takes advant
 age of asynchronous task-based programming, and it is designed to exploit 
 modern heterogeneous architectures. DLA-Fut...\n\n\nJohn Biddiscombe, Albe
 rto Invernizzi, Rocco Meli, Auriane Reverdell, Mikael Simberg, and Raffael
 e Solcà (ETH Zurich / CSCS)\n\nSession Chair: Chris Cantwell (Imperial Col
 lege London)
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