Session

PASC Poster: Flash Poster Session - Part II
Event TypePASC Poster
TimeTuesday, June 1710:30 - 11:00 CEST
LocationCampussaal - Plenary Room
Presentations
P27 - Integrating the ICON4Py Python-Based Dynamical Core into ICON
P28 - Interactive Visualization of High-Energy Physics Events via Nvidia Omniverse
P29 - itwinai: Enabling Scalable AI Workflows on HPC for Digital Twins in Science
P30 - The MENTOR Interpretation Agent: From Network Embeddings to Mechanistic Narratives via Retrieval-Augmented LLMs
P31 - Mixed Precision Customized for Discontinuous Galerkin Methods
P32 - Multi-Omic Single Cell Network Perturbation for Phenotypic Prediction
P33 - Optimizing Data Offload in the IFS Using GPU-Aware Data Structures and Source-To-Source Translation
P34 - Optimizing the ECsim Plasma Code for Exascale Architectures: GPU Acceleration, Portability, and Scalability
P35 - Performance Portability Across Different Mathematical Models, Hardware, and Simulation Scenarios in Molecular Dynamics
P36 - Pyccel: Automating Translation of Python Prototypes to C/Fortran Production Codes
P37 - pyGinkgo: Python Bindings for Ginkgo
P38 - Scalable Genomic Context Analysis with GCsnap2 on HPC Clusters
P39 - Simulations of Giant Impacts with Material Strength in pkdgrav3
P40 - Spectral Methods for the Clustering of Cyclic and Acyclic Graphs
P41 - SYCL and Block-Structured Grids: Performance Impact on Simulations of Complex Costal Ocean Domains
P43 - Towards Exascale Particle-Mesh Methods: A Massively Parallel Performance Portable C++ Particle-in-Cell Framework
ACMP01 - Designing Biomimetic Materials for Carbon Capture: Leveraging High-Performance Computing for Large-Scale Molecular Dynamics Simulations to Advance Sustainable Solutions
ACMP02 - Development of a Predictive Model for the Prognosis of Patients with Breast Cancer
ACMP03 - Distributed Computing for Spatio-Temporal Bayesian Modeling Using the INLA Method
ACMP05 - A Performance Portable Matrix-Free Finite Element Framework for Particle-Mesh Methods
ACMP06 - Understanding HMM Performance for Enhanced HPC Portability