Full Program · Contributors · Organizations · Search Program · Happening Now

Organizations

AbbVie Deutschland GmbH

Aix-Marseille University

Alphabet

AMD

Archaeologic Inc.

Argonne National Laboratory

Babasaheb Bhimrao Ambedkar University

Barcelona Supercomputing Center

BITS Pilani

Brown University

Brunel University London

California Institute of Technology

Carnegie Mellon University

CSC - IT Center for Science

Czech Technical University in Prague

Finnish Meteorological Institute

Forschungszentrum Jülich

Foundation for Research and Technology-Hellas

Friedrich Miescher Institute of Biomedical Research

Friedrich-Alexander-Universität Erlangen-Nürnberg

GENCI

George Washington University

Georgia Institute of Technology

German Aerospace Center

German Climate Computing Centre

Helmholtz Centre for Environmental Research

Helmholtz-Zentrum Dresden-Rossendorf

Heriot-Watt University

High-Performance Computing Center Stuttgart

Illinois Institute of Technology

Imperial College London

Indian Institute of Technology Roorkee

INRAE

INRIA

Instituto Superior Técnico

ISIS Neutron and Muon Source

IT4Innovations National Supercomputing Center

JAMSTEC

Jefferson Lab

Johns Hopkins Bloomberg School of Public Health

Johns Hopkins Whiting School of Engineering

Karlsruhe Institute of Technology

King Abdullah University of Science and Technology

Kitware

KTH Royal Institute of Technology

KU Leuven

Laboratoire des Sciences du Climat et de l’Environnement

Lancaster University

Lawrence Berkeley National Laboratory

Lawrence Livermore National Laboratory

LeCAD Laboratory

Leibniz Supercomputing Centre

LIDYL

Linköping University

Los Alamos National Laboratory

M3E srl

Maastricht University

Massachusetts Institute of Technology

MathSci.ai

Max Planck Computing and Data Facility

Max Planck Institute for Meteorology

Max Planck Institute for Plasma Physics

Met Office

Meteorological Research Institute

MeteoSwiss

Microsoft Research

Molecular Modelling Laboratory

NASA

National Center of Atmospheric Research

National Institute for Environmental Studies

National Renewable Energy Laboratory

NCCR MARVEL

Netherlands eScience Center

Norwegian Meteorological Institute

Novartis

Numerical Algorithms Group

NVIDIA Inc.

Oak Ridge National Laboratory

Otto-von-Guericke-Universitat Magdeburg

Pacific Northwest National Laboratory

Paderborn University

Paul Scherrer Institute

PDC Center for High Performance Computing

Politecnico di Milano

Politecnico di Torino

Polytechnic University of Catalonia

Pontificia Universidad Católica de Chile

Pontificia Universidad Católica de Valparaíso

Queen's University

RIKEN

RMI Belgium

Ruhr University Bochum

RWTH Aachen University

Sandia National Laboratories

Science and Technology Facilities Council

Scientific Computing and Imaging Institute

SciLifeLab

Scripps Institution of Oceanography

SKAO

SMHI

St. John's University

Stoppels Consulting

SURF

Swedish e-Science Research Centre

Swiss data science center

Swiss Institute of Bioinformatics

Technical University of Munich

TechTrans International Inc

Termo Fluids SL

The Carpentries

The Molecular Sciences Software Institute

The Open University

The University of Arizona

The University of Electro-Communications

The University of Tokyo

Tokyo Institute of Technology

Università della Svizzera italiana

Università di Salerno

Université catholique de Louvain

Université de Reims Champagne-Ardenne

Université Grenoble Alpes

University of Amsterdam

University of Basel

University of Bath

University of Bayreuth

University of Bern

University of Bonn

University of Bremen

University of California Merced

University of California, Irvine

University of Cambridge

University of Chicago

University of Colorado Boulder

University of Delaware

University of Edinburgh

University of Erlangen-Nuremberg

University of Geneva

University of Georgia

University of Göttingen

University of Helsinki

University of Illinois Urbana-Champaign

University of Innsbruck

University of Kassel

University of Lausanne

University of Lisbon

University of Luxembourg

University of Manchester

University of New Hampshire

University of New Mexico

University of Notre Dame

University of Pennsylvania

University of Pittsburgh

University of Rochester

University of Southern California

University of Stuttgart

University of Tennessee

University of Texas at Austin

Washington University in St. Louis

William & Mary

WSL

Yale University

Presenters / Organizers

Ekhi Ajuria Illarramendi

Àdel Alsalti-Baldellou

Delin An

Anima Anandkumar

Animashree Anandkumar

Christopher Bignamini

France Boillod-Cerneux

Christopher Bradburne

Slavko Brdar

anthony Bretaudeau

Pierre-Antoine Bretonnière

Jose Carbonell Caballero

Sunita Chandrasekaran

Mozhgan Kabiri Chimeh

Giovanni Consalvo Cistaro

Denisa Constantinescu

Francisco Doblas Reyes

Francisco Doblas-reyes

Nicoletta Farabullini

Lisa Gaedke-Merzhäuser

Alejandra Gonzalez-Beltran

Enrique González Paredes

Christian Guzman Ruiz

Mahantesh Halappanavar

Fernando Iglesias-Suarez

Neena Imam

Toshiyuki Imamura

Maria Elena Innocenti

Naga Venkata Sai Jitin Jami

Verónica G. Melesse Vergara

Guilherme Metelo Rita De Almeida

Sriramkrishnan Muralikrishnan

Maria Giuseppina Chiara Nestola

Zenin Easa Panthakkalakath

Kostis Papadakis

Ioannis Pappagianidis

Dimosthenis Pasadakis

Jean-Guillaume Piccinali

Christelle Piechurski

Francisco Sahli Costabal

Marie-Christine Sawley

Michael Schlottke-Lakemper

ManishKumar Shrivastava

Stephen Nicholas Swatman

Ambroise VAN ROEKEGHEM

Alvaro Vazquez-Mayagoitia

Venkatasubramanian Viswanathan

Jeremy Johnathan Williams

Michael Woodward

Grahame Robert Woollam

Presentations

Minisymposium

A Data-Centric Perspective on Scientific Workflows in the Computing Continuum

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

A Machine-Learning Based Hierarchical Framework to Discover Novel Functional Materials

Chemistry and Materials

Paper

A Massively Parallel Multi-Scale FE2 Framework for Multi-Trillion Degrees of Freedom Simulations

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

A Novel Deep Learning Model for Patient-Specific Computational Modeling of Cardiac Electrophysiology

Life Sciences

Minisymposium

A Scale Separation Approach: A Machine-Learned Surrogate Model for an Injector Coupled with Spray Simulations

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Accelerating Earth System Emulation with Spherical Fourier Neural Operators

Climate, Weather and Earth Sciences

Minisymposium

Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks

Climate, Weather and Earth Sciences

Minisymposium

Accurately Measuring Energy Consumption of Large Cosmological Simulations

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Acoustic Full-Waveform Inversion in Julia on Multi-xPUs

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Adaptation of ECMWF’s Integrated Forecasting System to GPU-Accelerated EuroHPC Systems

Climate, Weather and Earth Sciences

Minisymposium

Advanced Computing for Hybrid Energy Systems

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

AI for Large-Scale High-Dynamic Range Image Reconstruction in Radio Astronomy

Computer Science, Machine Learning, and Applied Mathematics  

Paper

AI Super-Resolution Subfilter Modeling for Multi-Physics Flows

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Application Optimization and Scalability of NICAM-LETKF on Fugaku

Climate, Weather and Earth Sciences

Paper

Approximation and Optimization of Global Environmental Simulations with Neural Networks

Climate, Weather and Earth Sciences

Minisymposium

Assessing the Effectiveness of ML Models: A Discussion

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Auto-Generating Databases about Thermoelectric Materials and Their Properties: Towards Data-Driven Materials Discovery

Chemistry and Materials

Minisymposium

Automatic Model Construction for Patient-Specific Aortic Flow Simulations Using Geometric Deep Learning

Life Sciences

Panel

Better Together: How Can We Enhance Inter-Community Collaboration?

Minisymposium

Bringing GENE to GPUs: A Journey to Portability and Performance

Physics

Minisymposium

Building Data-Driven Surrogate Models at Appropriate Granularity Using High-Resolution Climate Simulation and Coupling Library

Climate, Weather and Earth Sciences

Minisymposium

Building the A Team: Organizing Effective RSE Teams for Your Project

Applied Social Sciences and Humanities

Minisymposium

C-Coupler3: An Integrated Coupler Infrastructure for Earth System Modeling

Climate, Weather and Earth Sciences

Minisymposium

Capabilities, Limitations and Validation of Statistical Earth System Models

Climate, Weather and Earth Sciences

Paper

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery

Life Sciences

Minisymposium

Charged Particle Reconstruction Using SYCL with the Traccc Project

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Code and Community: Challenges and Opportunities

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Combining CUDA and SYCL for Accelerating Earthquake Simulations in SeisSol

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Combining the Power of High-Performance Computing, High-Throughput Ab Initio Calculations, and Machine Learning towards Materials Informatics

Chemistry and Materials

Paper

Cornerstone: Octree Construction Algorithms for Scalable Particle Simulations

Physics

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Crystal Structure Prediction on Cloud Based HPC Resources

Chemistry and Materials

Minisymposium

Current State-Of-The-Art Coupling Algorithms, Hurdles, and Approaches for Next-Generation Earth System Models

Climate, Weather and Earth Sciences

Minisymposium

Data Analytics for Resilient Energy Infrastructure and Communities

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Data Centric Computing & the Computing Continuum, the IO-SEA Project Proposal

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Data Handling and Workflow Management for Earth-2

Climate, Weather and Earth Sciences

Minisymposium

Data-Centric Python: Bridging Productivity and Performance via Data Movement Minimization

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Data-Driven Cloud Cover Parameterizations for the ICON Model

Climate, Weather and Earth Sciences

Paper

Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution

Chemistry and Materials

Life Sciences

Minisymposium

Deep Coarse-Grained Molecular Modeling

Chemistry and Materials

Minisymposium

Deep Learning-Based Reduced Order Modeling for Microcirculation in Vascular Networks

Life Sciences

Minisymposium

Deep-Reinforcement-Learning-Based Drag Reduction in Turbulent Channel Flows

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Designing Application-Specific Approximate Operators for Energy-Efficient AI Accelerators

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

DestinE Digital Twin Visualization: A Fascinating Challenge

Climate, Weather and Earth Sciences

Minisymposium

Developing Research Software Skills Pathways to Support the Future of High Performance and Exascale Computing

Applied Social Sciences and Humanities

Minisymposium

Developing Services for Scientific Communities: Experiences from the National High Performance Computing Program in Germany

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Development of the On-Demand Extreme Digital Twin Workflow

Climate, Weather and Earth Sciences

Minisymposium

Direct Numerical Simulation of a Rotor at Re=10000 and Analysis of Acoustic Sources

Engineering

Minisymposium

Discovering New Materials with the AiiDAlab Platform: A View into the Daily Routine of Coupling Experiments with HPC

Chemistry and Materials

Minisymposium

Discussion Session

Climate, Weather and Earth Sciences

Minisymposium

Domain Specific Libraries: A Game Changer for Portability, Productivity, and Performance in Complex Material Science Codes

Chemistry and Materials

Minisymposium

E-Scopics Ultrasound SaaS: App-Based Computerized Ultrasonography for Ultraportable Probes

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Enabling Exascale First-Principles Materials Simulations with the PAX Project

Chemistry and Materials

Minisymposium

Enabling Scientific Communities through ParaView

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Energy Impact of Kernel Level Optimization in ICON

Climate, Weather and Earth Sciences

Minisymposium

Enhancing Molecular Dynamics Simulations through Deep Learning

Chemistry and Materials

Minisymposium

Evolution of the ICON Model to Exploit Emerging Technology: An Overview

Climate, Weather and Earth Sciences

Minisymposium

Exascale Computing for Multi-Physics Combustion Simulation: The Center of Excellence in Combustion

Physics

Minisymposium

EXCLAIM - The Multi-Dimensional Space of Project Coordination

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Experience From Ginkgo Porting to the SYCL Ecosystem

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Exploiting Symmetries for Preconditioning Poisson's Equation in CFD Simulations

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Exploiting the Overlapping Challenges of Asynchronous Many Task Runtimes and Resilience for Integrated Control-Flow and Data Resiliency

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Exploring Differentiable Physics Based Sub-Grid Models for Large Eddy Simulation of Turbulent Flows

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Faster Climate Sciences - from DSLs to AI

Climate, Weather and Earth Sciences

Minisymposium

Finding Time through User Research

Applied Social Sciences and Humanities

Minisymposium

Fostering Interdisciplinary Research in Materials Modelling by Composable Julia Software

Chemistry and Materials

Paper

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators

Paper

FPGA Acceleration for HPC Supercapacitor Simulations

Chemistry and Materials

Climate, Weather and Earth Sciences

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

From ETH Physics Student to HPC System Engineer

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Fully Kinetic Modelling of the Tokamak Scrape-Off Layer

Engineering

Minisymposium

Galaxy and Scientific Communities: How to Incorporate New Ones, Uplift Engaged Ones and Maintain Mature Ones

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

General Discussion

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Generating Optimal HPC Code with Machine Learning

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Generative Modeling and Smarter Sampling for Lattice Gauge Theories

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Getting the Best of Both Worlds: Bridging Fortran and Pytorch for the CPU and the GPU HPC Simulations

Climate, Weather and Earth Sciences

Minisymposium

Global Storm Resolving Simulations in a Python Framework - Progress and Challenges

Climate, Weather and Earth Sciences

Minisymposium

Going Green: Optimizing GPUs for Energy Efficiency through Model-Steered Auto-Tuning

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

GPU Code Adaptations to the ACCORD Atmospheric Model within the Destination Earth On-Demand Extremes Digital Twin Project

Climate, Weather and Earth Sciences

Minisymposium

GPU Porting of Plasma Physics Codes

Physics

Paper

Graph Contractions for Calculating Correlation Functions in Lattice QCD

Physics

Minisymposium

Graph Neural Networks for Interpretable Data-Based Modeling of Fluid Flows

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

GraphCast: Learning Skillful Medium-Range Global Weather Forecasting

Climate, Weather and Earth Sciences

Minisymposium

Group Discussion: How Large Language Models Will Influence Autonomous Discovery

Life Sciences

Paper

Hardware-Agnostic Interactive Exascale In Situ Visualization of Particle-In-Cell Simulations

Physics

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Hardware-Level Performance Monitoring in Julia

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Heterogeneous Computing with SYCL in WarpX and AMReX

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Hierarchical Bayesian Multifidelity Models for Predictions in Turbulent Flows

Engineering

Minisymposium

High-Throughput Ab Initio Reaction Mechanism Exploration in the Cloud with Automated Multi-Reference Validation

Chemistry and Materials

Minisymposium

High-Throughput Search for Optimal Thermoelectric Performance across the Materials Cloud Wannier Database

Chemistry and Materials

Minisymposium

How a Performance Analysis Methodology Can Guide the Optimization of EUROfusion HPC Scientific Codes

Physics

Minisymposium

How Human-Centered Tools and Processes can Improve Software Development

Applied Social Sciences and Humanities

Minisymposium

How Modularity Can Help in Code Porting: The MaX Experience

Chemistry and Materials

Minisymposium

HPC and Large Data Challenges for Public Exhibitions

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

HPC Code Generation Framework for the Discontinuous Galerkin Method as a Technology Demonstrator for Digital Twins

Climate, Weather and Earth Sciences

Minisymposium

Human Factors in Industrial Research Software Engineering

Applied Social Sciences and Humanities

Minisymposium

ICON on the Way to Exascale - Current Status and Steps towards Scalable Development

Climate, Weather and Earth Sciences

Keynote

Public Lecture

IK02 - A View of Post-Exascale Computational Science and the Emerging Mix of HPC, AI, and Quantum

Minisymposium

Implementing GPU Support for Unstructured Ocean Model FESOM2 and Coupled IFS/FESOM2 Model

Climate, Weather and Earth Sciences

Minisymposium

Impressions from the LUMI Porting Program

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Improving Inclusion and Accessibility in Research Software Engineering

Applied Social Sciences and Humanities

Minisymposium

Improving Software Sharing and Impact through Software Registries

Applied Social Sciences and Humanities

Minisymposium

In-Situ Visualization Solutions Come to the Rescue

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Information Systems Technology for NASA Earth System Digital Twins

Climate, Weather and Earth Sciences

Minisymposium

Infrastructure for Next Generation Earth System Modeling Using ESMF/NUOPC

Climate, Weather and Earth Sciences

Interdisciplinary Dialogue

Intedisciplinary Dialogue

Minisymposium

Integration of GPU-Powered Deep Learning Disruption Predictors in a Plasma Control System

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Intelligent Node-Level Locality-Aware Load Balancing and Optimizations with Charm++'s CkLoop

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Interdomain Digital Twins – Challenges and Opportunities Are Two Sides of the Same Coin

Climate, Weather and Earth Sciences

Minisymposium

Introduction

Physics

Minisymposium

It’s All About That Bayes: Data-Driven Insights into Energy Devices without the Black Box

Chemistry and Materials

Minisymposium

Julia with MPI: Challenges and Best Practices

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Julia: Squaring the Circle of Dynamism and Performance - Exploring the Tradeoffs in Language Design for Dynamic Programming Languages

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Large-Scale Thermo-Mechanical Ice Flow Modelling Using Julia on GPU

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Lattice Anharmonicity in Solids: High-Throughput Screening and Machine Learning

Chemistry and Materials

Minisymposium

Lessons Learned Deploying Galaxy at a Neutron Scattering Facility

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Lessons Learned from a Performance Analysis and Optimization of a Multiscale Cellular Simulation

Life Sciences

Minisymposium

LLVM’s OpenMP Loop Transformations to Enhance Locality in OpenMP Loop Scheduling

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress

Life Sciences

Minisymposium

Massively Parallel Computational Fluid Dynamics with Julia and Trixi.jl

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MiniGAP: A Proxy App for ML Prediction of Molecular Properties

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Mixed-Precision Random Projection for RandNLA on Tensor Cores

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Model-Based Performance Analysis of the HyTeG Finite Element Framework

Engineering

Minisymposium

Modeling Multi-Platform Information Diffusion in Social Media: Data-Driven Observations

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Modern Software Development for Atmospheric Parameterizations and Sub-Grid Scale Models

Climate, Weather and Earth Sciences

Minisymposium

Modernizing the ICON Codebase through Language-Interoperable Memory Management and a Consistent Test

Climate, Weather and Earth Sciences

Minisymposium

Multi-Scale Multi-Domain Modeling of Net Zero Energy Community

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Neural Operators for Detecting Aortic Aneurysm Contributors

Life Sciences

Minisymposium

New Challenges for ESiWACE3: The Center of Excellence in Simulations of Weather and Climate in Europe

Physics

Minisymposium

Novel Approaches to Accelerate Chemistry for Climate Models

Climate, Weather and Earth Sciences

Minisymposium

Object Storage - Targeting Fusion Plasma Simulations at the Exascale

Engineering

Minisymposium

Ocean-Atmosphere Coupling in Earth System Models: Formulation and Algorithms

Climate, Weather and Earth Sciences

Minisymposium

On the Role of Robust Staging Services for Extreme-Scale Workflows

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Online Learning of Sub-Grid Stress Models for Large Eddy Simulation of Wall Bounded Turbulent Flows

Computer Science, Machine Learning, and Applied Mathematics  

Keynote

Opening keynote

Minisymposium

Opportunities and Challenges for Digital Twins of the Earth System

Climate, Weather and Earth Sciences

Minisymposium

Optimisation of Lattice Simulations Energy Efficiency

Physics

Minisymposium

Outlook on Loop Scheduling Between Theory and Practice

Computer Science, Machine Learning, and Applied Mathematics  

Poster

P01 - A Language-Interoperable C++-Based Memory-Manager for the ICON Climate and Weather Prediction Model

Poster

P02 - A Massively Parallel Approach to Forecasting Electricity Prices

Poster

P03 - A Novel Stochastic Parameterization for Lagrangian Modeling of Atmospheric Aerosol Transport

Poster

P04 - A Research Software Engineering Workflow for Computational Science and Engineering

Poster

P05 - Ab Initio Modeling of Magnetite Surfaces for Plutonium Retention

Poster

P06 - Accurate Electronic Properties and Intercalation Voltages of Li-Ion Cathode Materials from Extended Hubbard Functionals

Poster

P07 - Addressing Exascale Challenges for Numerical Algorithms of Strongly Correlated Lattice Models

Poster

P08 - Analysis and Application of CNN to Improve Deterministic Optical Flow Nowcasting at DWD

Poster

P09 - Analyzing Physics-Informed Neural Networks for Solving Classical Flow Problems

Poster

P10 - Application of Deep Learning and Reinforcement Learning to Boundary Control Problems

Poster

P11 - Bridging the Language Gap: Classes for C++/Fortran Interoperability

Poster

P12 - Building a Physics-Constrained, Fast and Stable Machine Learning-Based Radiation Emulator

Poster

P13 - Calculation of the Maximally Localized Wannier Functions in the SIRIUS Library

Poster

P14 - Closing the Gap: Aligning Developers’ Expectations and Users’ Practices in Cloud Computing Infrastructure

Poster

P15 - Compressing Multidimensional Weather and Climate Data into Neural Networks

Poster

P16 - Denoising Electronic Signals from Particle Detectors Using a Flexible Deep Convolutional Autoencoder

Poster

P17 - Detecting Financial Fraud with Graph Neural Networks

Poster

P18 - Directive-Based, Fortran/C++ Interoperable Approach to GPU Offloading of the High Performance Gyrokinetic Turbulence Code GENE-X

Poster

P19 - DNS of Strongly Turbulent Thermal Convection in a Non-Rotating Full Sphere

Poster

P20 - Docker Container in DWD's Seamless INtegrated FOrecastiNg sYstem (SINFONY)

Poster

P21 - Doppler-Boosted Lasers: A New Path to Extreme QED Pair Plasmas in Light-Matter and Light-Quantum Vacuum Interactions

Poster

P22 - Efficient Data Managment in Fully Spectral Dynamo Simulations on Heterogeneous Nodes

Poster

P23 - Evaluation of GPU Accelerated Machine Learning Algorithms for Energy Price Prediction

Poster

P24 - Geodynamo Simulations in a Full Sphere

Poster

P25 - Ginkgo — A High-Performance Portable Numerical Linear Algebra Software

Poster

P26 - Global Sensitivity Analysis of High-Dimensional Models with Correlated Inputs

Poster

P27 - GPU-Accelerated Modelling of Greenhouse Gases and Air Pollutants in ICON with OpenACC

Poster

P28 - GPU-Optimized Tridiagonal and Pentadiagonal System Solvers for Spectral Transforms in QuiCC

Poster

P29 - GT4Py: A Python Framework for the Development of High-Performance Weather and Climate Applications

Poster

P30 - High Performance Computing Meets Approximate Bayesian Inference

Poster

P31 - High-Performance Computing by and for Patient Specific Mechanical Properties

Poster

P32 - High-Throughput Computational Screening of Fast Li-Ion Conductors

Poster

P33 - ICON-GPU for Numerical Weather Prediction – A Status Report

Poster

P34 - Interpretable Compression of Fluid Flows Using Graph Neural Networks

Poster

P35 - Investigating the Mechanism of a Local Windstorm in the Swiss Alps Using Large-Eddy Simulations

Poster

P36 - Iterative Refinement With Hierarchical Low-Rank Preconditioners Using Mixed Precision

Poster

P37 - LIBRSB: Multicore Sparse Matrix Performance Across Languages and Architectures

Poster

P38 - Loki v0.1.1: A Source-To-Source Translation Tool for Numerical Weather Prediction Codes and More

Poster

P39 - Mapping a Coupled Earth-System Simulator onto the Modular Supercomputer Architecture

Poster

P40 - Modeling a Novel Laser-Driven Electron Acceleration Scheme: Particle-In-Cell Simulations at the Exascale.

Poster

P41 - MPI for Multi-Core, Multi Socket, and GPU Architectures: Optimised Shared Memory Allreduce

Poster

P42 - Multigrid in H(curl) on Hybrid Tetrahedral Grids

Poster

P43 - Multilevel and Domain-Decomposition Solution Strategies for Solving Large-Scale Phase-Field Fracture Problems

Poster

P44 - Numerical Simulation of Gradual Compaction of Granular Materials and the Uncertainty Quantification of the Proposed Mathematical Model

Poster

P45 - Optimization of Non-Conventional Airfoils for Martian Rotorcraft with Direct Numerical Simulations Using High-Performance Computing

Poster

P46 - Parallel Second Order Conservative Remapping on the Sphere

Poster

P47 - Parallel Training of Deep Neural Networks

Poster

P48 - ProtoX: A First Look

Poster

P49 - Simulating Aquaplanet Using ICON with a GT4Py DSL Dynamical Core

Poster

P50 - Towards a GPU-Enabled Linear-Response Algorithm in the SIRIUS Library

Poster

P51 - Towards a Python-Based Performance-Portable Finite-Volume Dynamical Core for Numerical Weather Prediction

Poster

P52 - Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Poster

P53 - Ultra-High Resolution Simulations of Planetary Collisions

Poster

P54 - Disruption Forecasting with Uncertainty Quantification for Fusion Plasmas with Deep Ensembles

Poster

P55 - Novel Geometric Deep Learning Surrogate Framework for Non-Linear Finite Element Simulations

Poster

P56 - The P4est Software for Parallel AMR: A Shared Memory Workflow

Poster

P57 - Partial Charge Prediction and Pattern Extraction from a AttentiveFP Graph Neural Network

Poster

P58 - Enabling GENE for Exascale Computing via Modern Data Science

Poster

P59 - A Scalable Interior-Point Method for PDE-Constrained Inverse Problems Subject to Inequality Constraints

Poster

P60 - An Insilico Analysis of Schiff Base Derivatives to Identify Potential Inbhitors for Breast Cancer Multitargeted Proteins: Virtual Screening and Molecular Dynamics Simulation

Minisymposium

Panel Discussion

Applied Social Sciences and Humanities

Minisymposium

Panel Discussion

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Panel discussion

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Parallel Programming in Fortran 2018 and Beyond

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Parallel-In-Time Integration with Particle-In-Fourier Schemes

Engineering

Minisymposium

Performance Portability Using a Tool-Chain to Exploit Separation of Concerns

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations

Climate, Weather and Earth Sciences

Minisymposium

PhyDLL - Physics Deep Learning CoupLer: An Open-Source High-Performance Coupling Library

Physics

Minisymposium

Physics-Informed Functional Priors for Blood Flow Predictions in Data-Poor Regimes

Life Sciences

Minisymposium

Physics-Informed Machine Learning for Reduced Lagrangian Modeling of Turbulence: Lagrangian LES

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Plasma in Extreme Conditions - QED and Particle-In-Cell for the Next Generation of Laser-Matter Interactions

Engineering

Minisymposium

Portable and Efficient Julia Code for Heterogeneous Hardware Systems

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Porting ICON to AMD GPUs: Lessons Learned

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Practical Examples of Productivity and Performance in Chapel

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Predictive Scale-Bridging Simulations through Active Learning

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Preparing CP2K for LUMI: User Experiences and Lessons Learned

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Protein Language Models for Mapping Structure-Function Relationships

Life Sciences

Minisymposium

Pycsou: High-Performance Computational Imaging with Python

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Quantifying Errors in Modeled Aerosol Effects on Climate from Numerical Approximations of Particle Distributions

Climate, Weather and Earth Sciences

Minisymposium

Quantum Computing and HPC

Physics

Minisymposium

Radio-Astronomical Imaging Acceleration for Energy Efficiency

Climate, Weather and Earth Sciences

Minisymposium

Reducing the Cost of MRI Scanning by Enhancing Data with Underlying Physics via Physics-Informed Neural Networks

Life Sciences

Paper

Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables

Life Sciences

Minisymposium

Scalable GPU-Accelerated Incremental Checkpointing of Sparsely Updated Data

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes

Chemistry and Materials

Climate, Weather and Earth Sciences

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Scalable Riemann Solvers with the Discontinuous Galerkin Method for Hyperbolic Network Simulation

Physics

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Scaling a Community with over 1,000 Contributors: Bringing Scientists Together with Spack

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Scaling Out Machine Learning Convergence Training on LUMI

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks

Chemistry and Materials

Climate, Weather and Earth Sciences

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Scientific Machine Learning for Cardiac Electrophysiology Applications

Life Sciences

Minisymposium

Six-Dimensional Hybrid-Vlasov Modelling of the Earth's Magnetosphere on LUMI

Engineering

Minisymposium

Socio-Technical Resilience in Research Software Engineering

Applied Social Sciences and Humanities

Minisymposium

Software Development and Educational Efforts at the Molecular Sciences Software Institute

Chemistry and Materials

Minisymposium

Software for Practical Analysis of Materials: Image Based Quantification across Communities

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Spectral Element Method Discontinuity Control through Accuracy Preserving Filtering and Data Driven Methods

Engineering

Paper

Streaming Generalized Canonical Polyadic Tensor Decompositions

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Paper

StyleGAN as a Deconvolutional Operator for Large Eddy Simulations

Engineering

Minisymposium

Supporting Software Sustainability by Using Software Complexity Metrics to Inform Code Reviews

Applied Social Sciences and Humanities

Minisymposium

Sustainable and Reliable Computing with Tools: Analyzing Precision Appetites of CFD Applications with VerifiCarlo

Engineering

Minisymposium

Swarm Learning ~ Distributed ML for Edge Adaptive Computing

Computer Science, Machine Learning, and Applied Mathematics  

Paper

SweepNet: A Lightweight CNN Architecture for the Classification of Adaptive Genomic Regions

Chemistry and Materials

Life Sciences

Minisymposium

Synthesizing Gradient for Parallel Paradigms Using Enzyme in Julia

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

System-Agnostic Prediction of Pharmaceutical Placebo Stability via Cloud Computing and Experimental Validation

Chemistry and Materials

Minisymposium

Task-Level Resilience for Dynamically Generated Tasks under Work Stealing in Clusters

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Technical Challenges and Solutions in Building a Pre-Exascale Climate Adaptation Digital Twin

Climate, Weather and Earth Sciences

Minisymposium

Technology to the Rescue! How HPC Industries Can Help Accelerate Time-To-Science

Physics

Minisymposium

Testing. Testing? Testing! How RSEs can Assure Software Quality in Complex HPC Code Bases

Applied Social Sciences and Humanities

Minisymposium

The Beam, Plasma & Accelerator Simulation Toolkit (BLAST) at Exascale

Engineering

Minisymposium

The ChEESE Methodology towards Exascale

Physics

Minisymposium

The End of Ab Initio MD

Chemistry and Materials

Minisymposium

The Galaxy Training Network: A Powerful Framework for Teaching Science

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

The ICON-A Model for Direct QBO Simulations on GPUs

Climate, Weather and Earth Sciences

Minisymposium

The Physics of Deep Learning

Physics

Minisymposium

The Role of OpenMP in Performance Portability

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

The Role of Software Platforms in Supporting Scientific Software Communities

Applied Social Sciences and Humanities

Minisymposium

The SKA Data Management Use Case: Global Data Distribution in the Regional Centre Network

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Tightly Coupling a Machine-Learned Closure Model with a GPU-Based, Computational Fluid Dynamics Solver

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Toward Robust Materials Simulations with Common Workflow Interfaces in AiiDA

Chemistry and Materials

Minisymposium

Towards Fully Quantum (Bio)Molecular Modelling Enabled by HPC and ML: Dream or Reality?

Chemistry and Materials

Paper

Towards Lattice QCD+QED Simulations on GPUs

Physics

Minisymposium

Tradeoffs in Low-Power Accelerators Design for Large-Scale Interferometers

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Transforming Chemistry: The Impact of Large Language Models on Chemical Research

Life Sciences

Minisymposium

Transitioning Existing Data Reduction Workflows at the Cornell High Energy Synchrotron Source to Galaxy

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Tunable Tasking in Low-Level HPC Systems Software

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Tunable Tasking in PARSEC for Numerical Linear Algebra Routines Used in HPC

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Paper

Universal Data Junction: A Transport Layer for Data Driven Workflows

Chemistry and Materials

Life Sciences

Minisymposium

Unleashing the Power of Multiple GPUs for ECsim Using OpenACC

Engineering

Minisymposium

User Facility Support for Post-Exascale HPC Energy Efficiency

Climate, Weather and Earth Sciences

Minisymposium

Using In-Context Learning and Frozen Large Language Models for Bayesian Optimization of Catalysts

Life Sciences

Minisymposium

Visual Scientific Exploration at Blue Brain, and Beyond

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

Visualizing the Entire Universe Using Open-Source Software

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

WarpPINN: Cine-MR Image Registration with Physics-Informed Neural Networks

Life Sciences

Welcome to PASC23

Welcome from the Conference Co-Chairs

Welcome to PASC23

Welcome from the Local Host

Minisymposium

Whole-Device Simulations of Fusion Plasmas with GENE

Engineering

Sessions

Paper

ACM Papers - PASC23 Plenary Paper

Paper

AP1A - ACM Papers Session 1A

Life Sciences

Paper

AP1B - ACM Papers Session 1B

Physics

Paper

AP1C - ACM Papers Session 1C

Climate, Weather and Earth Sciences

Paper

AP1D - ACM Papers Session 1D

Life Sciences

Paper

AP1E - ACM Papers Session 1E

Engineering

Paper

AP2A - ACM Papers Session 2A

Chemistry and Materials

Life Sciences

Paper

AP2B - ACM Papers Session 2B

Physics

Computer Science, Machine Learning, and Applied Mathematics  

Paper

AP2C - ACM Papers Session 2C

Chemistry and Materials

Climate, Weather and Earth Sciences

Computer Science, Machine Learning, and Applied Mathematics  

Paper

AP2D - ACM Papers Session 2D

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Paper

AP2E - ACM Papers Session 2E

Engineering

Computer Science, Machine Learning, and Applied Mathematics  

Closing

Closing Session and Awards

Break

Coffee Break

Break

Coffee Break

Break

Coffee Break

Break

Coffee Break

Break

Coffee Break

Poster

Flash Poster Session - Part I

Poster

Flash Poster Session - Part II

Keynote

IK01 - Anti Patterns of Scientific Machine Learning to Fool the Masses: A Call for Open Science

Keynote

IK03 - Talk by the Winner of the PRACE HPC Excellence Award 2023

Keynote

IK04 - Talk by the Winner of the PRACE Ada Lovelace Award for HPC 2023

Break

Lunch Break

Break

Lunch Break

Break

Lunch Break

Minisymposium

MS1A - Machine Learning Techniques for Modeling Under-Resolved Phenomena in Massively Parallel Simulations: Algorithms/Frameworks/Applications (Part 1/3)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS1B - Performance Portability Solutions beyond C++ to Support Future Workflows (Part 1/2)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS1C - Robust, Accurate, and Scalable Algorithms for Coupling in Earth System Models

Climate, Weather and Earth Sciences

Minisymposium

MS1D - Machine Learning: A Scale-Bridging Tool for Molecular Modeling

Chemistry and Materials

Minisymposium

MS1E - Data Management across the Computing Continuum

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS1F - Exascale Plasma Simulations, Methods and Technologies for Fusion, Plasma Accelerator and Space Physics Research (Part 1/2)

Engineering

Minisymposium

MS1G - Application Optimization in an Energy Constrained Environment

Climate, Weather and Earth Sciences

Minisymposium

MS1H - Code as Community

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS2A - Machine Learning Techniques for Modeling Under-Resolved Phenomena in Massively Parallel Simulations: Algorithms/Frameworks/Applications (Part 2/3)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS2B - Performance Portability Solutions beyond C++ to Support Future Workflows (Part 2/2)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS2C - Modern Approaches to Modeling Atmospheric Aerosols and Clouds

Climate, Weather and Earth Sciences

Minisymposium

MS2D - Computer-Aided Design of High-Performance Thermoelectric Materials

Chemistry and Materials

Minisymposium

MS2E - Performance in I/O and Fault Tolerance for Scientific Applications

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS2F - Exascale Plasma Simulations, Methods and Technologies for Fusion, Plasma Accelerator and Space Physics Research (Part 2/2)

Engineering

Minisymposium

MS2G - Large Language Models for Autonomous Discovery

Life Sciences

Minisymposium

MS2H - Research Software Engineers (RSEs) in HPC

Applied Social Sciences and Humanities

Minisymposium

MS3A - Machine Learning Techniques for Modeling Under-Resolved Phenomena in Massively Parallel Simulations: Algorithms/Frameworks/Applications (Part 3/3)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS3B - Application Perspective on SYCL, a Modern Programming Model for Performance and Portability

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS3D - Interdisciplinary Challenges in Multiscale Materials Modeling

Chemistry and Materials

Minisymposium

MS3F - European Advanced Computing Hubs to Accelerate Progress in Fusion R&D

Physics

Minisymposium

MS3G - Biophysics-Informed Machine Learning (Part 1/2)

Life Sciences

Minisymposium

MS3H - Galaxy: An Open Web-based Platform for FAIR Data Analysis and Computing across Scales, Domains and Communities

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS4A - Technical Challenges and Opportunities for Digital Twins of the Earth System (Part 1/3)

Climate, Weather and Earth Sciences

Minisymposium

MS4B - Porting of Applications to AMD GPUs: Lessons Learned

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS4C - Nexus of AI and HPC for Weather, Climate, and Earth System Modelling

Climate, Weather and Earth Sciences

Minisymposium

MS4D - High Performance and High Throughput Approaches in Material Science Simulations, a European Perspective

Chemistry and Materials

Minisymposium

MS4E - Scientific Visualization of Big Data

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS4F- Cross-Cutting Aspects of Exploiting Exascale Platforms for High-Fidelity CFD in Turbulence Research

Engineering

Minisymposium

MS4G - Biophysics-Informed Machine Learning (part 2/2)

Life Sciences

Minisymposium

MS4H - Breaking the Silos to Enhance HPC Impact

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS5A - Technical Challenges and Opportunities for Digital Twins of the Earth System (Part 2/3)

Climate, Weather and Earth Sciences

Minisymposium

MS5B - Julia for HPC: Tooling and Applications (Part 1/2)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS5C - Towards Weather and Climate Digital Twins at the Example of the ICON and IFS-FESOM Models

Climate, Weather and Earth Sciences

Minisymposium

MS5D - Novel Cloud-Based High Performance Computing and Artificial Intelligence Approaches to Emerging Computational Problems in Drug Design and Material Science

Chemistry and Materials

Minisymposium

MS5E - High Performance Computational Imaging across Scales, Communities and Modalities

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS5F - Simulating Fundamental Theories across Scales: Challenges and Interdisciplinary Solutions

Physics

Minisymposium

MS5G - Hybrid Energy Systems: Adaptive Computing to Harmonize Energy Generation and Demand for Communities across Spatio-Temporal Scales

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS5H - Code Complete and More: Emerging Efforts to Improve Software Quality (Part 1/2)

Applied Social Sciences and Humanities

Minisymposium

MS6A - Technical Challenges and Opportunities for Digital Twins of the Earth System (Part 3/3)

Climate, Weather and Earth Sciences

Minisymposium

MS6B - Julia for HPC: Tooling and Applications (Part 2/2)

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS6C - Implementation and Validation of Hybrid Earth System and Machine Learning Models

Climate, Weather and Earth Sciences

Minisymposium

MS6D - Tuning Low-Overhead Node-Level Load Balancing for Computational Science and Engineering Simulations on Current and Emerging Supercomputers

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS6F - Are HPC Codes Ready for Exascale? An EU HPC Centres of Excellence Point of View

Physics

Minisymposium

MS6G - Green Computing Architectures and Tools for Scientific Computing

Computer Science, Machine Learning, and Applied Mathematics  

Minisymposium

MS6H - Code Complete and More: Emerging Efforts to Improve Software Quality (Part 2/2)

Applied Social Sciences and Humanities

Dinner

Optional Evening Event (separate registration required)

Panel

Panel Discussion

Poster

Poster Session and Reception

Break

Refreshments

Registration

Welcome to PASC23

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