Session

Poster: Poster Session and Reception
Event TypePoster
TimeTuesday, June 419:30 - 21:30 CEST
LocationHG E Haupthalle
Presentations
P01 - Accelerating the Computation of Koopmans Functionals Using the SIRIUS Library
P02 - Accurate Machine Learning Force Fields via Experimental and Simulation Data Fusion
P03 - Additively Preconditioned Trust Region Strategies for Machine Learning
P04 - Advancing Fault Tolerance in Graph Processing Engines Based on Total Order Multicast
P05 - Advancing Flood Simulations with TRITON: A Multi-GPU 2D Hydrodynamic Modeling Code
P06 - Atlas as a Unified Data Structure Interface for Computation on Heterogeneous Architectures
P07 - Automatic Generation of Block-Structured Grids on Complex Ocean Domains for High Performance Simulation
P08 - Complete Asynchronous Task-Based Implementation of a Particle-In-Cell Code: Performance Studies and Benchmark
P09 - Contribution of Latent Variables to Emulate the Physics of the IPSL Model
P10 - Controlling Parallel CFD Simulations in Julia from C/C++/Fortran Programs with libtrixi
P11 - The Coulomb Perturbed Fragmentation (CPF) Method
P12 / ACMP01 - DeCovarT, a Multidimensional Probalistic Model for the Deconvolution of Heterogeneous Transcriptomic Samples
ACMP02 - Demographic Aware Hyperparameter Optimization for Cancer
P13 - A Distributed LogStore Design with Multi-Reader, Multi-Writer Semantics for Streaming Applications
P14 - DynaHGraph: Learning Hidden Relationships in Dynamic Graphs
ACMP04 - Efficient Compression for Weather and Climate Data
ACMP05 - Efficient, Portable, Massively Parallel Free-Space Solvers for the Poisson Equation
P15 - Enabling Message-Driven Architecture Evaluation for the Extreme Heterogeneity Era with MOSAIC
P16 - Enhancing Aerosol Predictions on the Global Scale with Particle-Resolved Modeling and Machine Learning
P17 - Enhancing Hydrodynamic Simulations with SERGHEI: Integrating New Modules for Comprehensive Environmental Modeling
P18 - Exact Conservation Laws for Neural Network Integrators of Dynamical Systems
P19 - Fast and Scalable Algorithms for Selected Matrix Inversions
P20 - Fast Inference of Cosmology from High Resolution Maps Using Deep Learning
P21 - Fast Simulations of Next-Generation Radio Cosmological Surveys: A Forward-Modeling Pipeline of Neutral Hydrogen Maps for SKA and HIRAX
P22 - FFT-Accelerated Polynomial Transforms for Fully Spectral Simulations
ACMP06 - Finding Optimistic Upper Bounds for Task Graph Throughput on Heterogeneous Systems Using Linear Programming
P23 - FraNetG – Fracture Network Growth
P24 - Fully Spectral Dynamo Simulations for Heterogeneous Computing
P25 - GPU Benchmarking on Fully Occupied Accelerated Cluster Nodes via Molecular Dynamics Software Packages
P26 - GPU-Accelerated Linear-Response for DFT+Hubbard Using the SIRIUS Library
P27 - A GT4Py-Based Multi-Node Standalone Python Implementation of the ICON Dynamical Core
P28 - GT4Py: A Python Framework for the Development of High-Performance Weather and Climate Applications
ACMP07 - High Performance Computing Derived Biological Multiplex Network Uncovers Distinct Pathways Underlying Opioid and Nicotine Addiction
P29 - ICON-HAM: Modelling Aerosol-Cloud Interactions at High Resolution on GPUs
P30 - Implementation and Benchmarking of a New Radiation Module in the WarpX Particle-In-Cell Code
P31 - Improving Chest X-ray Image Classification via Parallelized Generative Neural Architecture Search
P32 - InterTwin - An Interdisciplinary Digital Twin Engine for Science
P33 - Inviscid Dynamo Simulation Using QuICC
P34 - Ionbeam: Scalable IoT Streaming Infrastructure for Meteorology
P35 - Machine Learning Emulator of the Radiation Solver in the ICON Climate Model
P36 / ACMP08 - Mixed-Precision in High-Order Methods: Studying the Impact of Lower Numerical Precisions on the ADER-DG Algorithm
ACMP09 - On-Line Tracking of Tropical Cyclones in a Climate Model on a Given Radius Around its Path
ACMP10 - Optimized Finite Volume Methods Solver Allows for Real-Sized Tumor Simulations
P37 - Parallel Implementation of Mesh-Free Operators for 2D and 3D PDEs on a Sphere for Atmospheric Dynamics
P38 - Performance Characterisation of Software for Lattice Quantum Field Theory Beyond the Standard Model
P39 / ACMP11 - Performance Regression Unit Testing for High Performance Computing Packages in Julia
P40 - A Performance-Portable All-Scale Atmospheric Model Framework
P41 - Probabilistic Weather Forecasting through Latent Space Perturbations of Machine Learning Emulators
P42 - A Python Dynamical Core for Operational Numerical Weather Prediction
P43 - Quo Vadis: Helping Applications Manage On-Node Resources on Modern Systems
P44 / ACMP03 - Scalable Simulations of Resistive Memory Devices: A Dynamical Monte Carlo Approach
P45 - Scaled Life Event Extraction using High Performance Computing for Acute Veteran Suicide Risk Prediction
P46 - Scaling Laws for Machine-Learned Reconstruction
P47 - Sculpting Precision: Unveiling the Impact of eXplainable Features and Magnitudes in Neural Network Pruning
P48 - Simulations of Giant Impacts: The Importance of High Resolution
P49 - The Task-Based GPU-Enabled Distributed Eigensolver available in DLA-Future
P50 - Towards Linear-Scaling Density Functional Theory on Real Space Grids
P51 - Tuning Atmospheric Turbulence Parameters with Machine Learning Surrogates
P52 - Waveform Relaxation for Atmosphere-Ocean-Sea Ice Coupling in the EC-Earth Single Column Model
P53 - Workflow Automation for Verified High-Performance Molecular-Continuum Flow Simulations