Session

PASC Poster: Poster Session and Reception
Event TypePASC Poster
TimeTuesday, June 1719:00 - 21:00 CEST
LocationCampussaal - Plenary Room
Presentations
P01 - Achieving Performance Portability on ECMWF’s Open-Source Operational Wave Model ecWAM Using Source-To-Source Translation and GPU-Aware Data-Structures
P02 - Advances in HPC-Oriented Refactoring Techniques with Coccinelle
P03 - Bit-IF: An Incremental Sparse Tensor Format for Maximizing Efficiency in Tensor-Vector Multiplications
P04 - Calculation of Spin Hole Qubit Eigenstates with GPU-Accelerated Rayleigh–Chebyshev Subspace Iteration Method
P05 - The Chatbot Update System (CUS): An Effective Interface to Train AI
P06 - Code-Generation of Highly Efficient Finite Element Operations Using the MLIR Compiler Infrastructure
P07 - A Deep Dive into Deep Learning Frameworks for Protein Structure Prediction: Developing and Evaluating Classes of Biomolecular Complexes
P08 - Developing a Portable Implementation for the Next-Generation ECMWF Model
P09 - Efficient Execution of Multiphysics Simulation Assembly Using Kokkos::Graph
P10 - Electronic Structure Calculations Powered by DLA-Future
P11 - Enabling Lattice QCD Normalizing Flows in HPC Infrastructures
P12 - Enhancing Productivity and Performance Analysis on Euro HPC Systems
P13 - Estimation of Calving Law Parameters from Satellite Data
P14 - Flux-Form Semi-Lagrangian (FFSL) Schemes on a Triangular Mesh
P15 - Fostering the Wider Adoption of High-Performance Computing by UK-Based Arts and Humanities Researchers via National Training and Community-Building Initiatives
P16 - GPU Porting of ECMWF Physical Parametrizations Using a High-Level Programming Model
P17 - GPU-Accelerated DEM Simulations for Complex Particle Shapes: Optimizing Spheropolyhedron Contact Detection
P18 - GPU-Accelerated Fluid-Structure Interaction Resampling in FEM, Including Application of 3-Dimensional 4th-Order WENO
P19 - A GPU-Accelerated Implementation of Spectrum Slicing for Plane-Wave Density Functional Theory in ABINIT
P20 - GPU-Accelerated Matrix Decomposition and Selected Inversion for Banded Arrowhead Matrices
P21 - Graph Abstraction for Efficient Scheduling of Asynchronous Workloads on GPU
P22 - GT4Py: A Python Framework for the Development of High-Performance Weather and Climate Applications
P23 - Harnessing High Performance Computing for Advanced Biomarker Discovery from Wearable Device Data: A Pathway to Optimized Therapeutic Outcomes
P24 - How to Build an Energy Dataset for HPC
P25 - HQAC: Transforming AI, Quantum, and HPC into a Unified Open Framework
P26 - Improving Productivity of Threaded Scientific Applications with Quo Vadis
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
P42 - Towards a Sparse BLAS Standard for Triangular Solvers on ARM Architectures
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
ACMP04 - Multi-Team Software Collaboration within the Exascale Computing Project
ACMP05 - A Performance Portable Matrix-Free Finite Element Framework for Particle-Mesh Methods
ACMP06 - Understanding HMM Performance for Enhanced HPC Portability