PASC26

Session

ACM SRC Poster
,
PASC Poster
:
Poster Session and Reception
Event Type
ACM SRC Poster
,
PASC Poster
TimeTuesday, June 3017:3019:45 CEST
LocationBldg. 8 – Entrance Hall
Presentations
P01 – Accelerating Lattice QCD Dirac GCR Solvers with Multiple Right-Hand Sides (MRHS)
P02 – Advancing The Data Assimilation Research Testbed (DART) as an Early-Career Software Engineer
P03 – Algebraic Multi-Level Methods for Lattice Dirac Operators in LQCD
P04 – Algorithms and Optimizations for Global Non-Linear Hybrid Fluid-Kinetic Finite Element Stellarator Simulations
P05 – Bridging Python Flexibility and GPU Performance with Aithon: Kernel-Level Optimization, Scaling, and Extreme-Resolution MHD Turbulence Simulations
P06 – Co-designing Regional High-Performance Computing Ecosystems in Africa: A Pilot Focus on Kenya and West Africa
P07 – Correlated Electrons on Accelerated Architectures from Frequency-Dependent Response Functions
P08 – Coupling km-Scale Earth System Model to Hierarchical Output for Analysis-Ready Dataset
P09 – Developing and Evaluating Performance-Portable Physical Parametrization Codes
P10 – Discretization Error Quantification in Plane-Wave Density Functional Theory
P11 – Estimation of Global Surface Carbon Fluxes at the Grid Scale Using Machine Learning Techniques
P12 – Evaluating Open-Source Infrastructure-As-Code Virtual Clusters against SuperMUC-NG Phase 1
P13 – Exploring Performance and Efficiency of State-of-the-Art Deep Learning Protein Structure Prediction Frameworks on the Frontier Exascale Supercomputer
P14 – A Flexible Interface for Neural Network Potentials in GROMACS
P15 – A Flux-Form Semi-Lagrangian WENO Scheme on Triangular Meshes
P16 – FPGA-Specific Optimizations for Multi-Device Shallow Water Simulations with SYCL
P17 – Generalization of Long-Range Machine Learning Potentials in Complex Chemical Spaces
P18 – GPU-Accelerated Methods for Numerically Stable Resampling in Fluid-Structure Interaction
P19 – Graph Neural Network Potentials for Million-Atom Molecular Dynamics Simulations of Aluminum Solidification
P20 – A High-Performance, GPGPU-Enabled Discontinuous Galërkin Solver Using OpenMP Offloading and MPI
P21 – Hybrid Block-Structured Grids for Coastal Ocean Domains
P22 – Hypergraph Partitioning for Sparse Matrix Reordering
P23 – An Integrated HPC Workflow for AI-Driven Immunogenic Peptide Prediction
P24 – A Machine Learning Framework for CFD Applications
P25 – Maintainable, Sustainable, and Generalizable Data Layouts and Vectorization for Rigid-Body Molecular Dynamics
P26 – Optimizing the ICON Dynamical Core for GPUs Utilizing GT4Py and DaCe
P27 – Parallel Tempering on Boundary Conditions with Normalizing Flows to Solve Topological Freezing
P28 – Performance-Portable and Highly Scalable Spectral Transforms with ecTrans
P29 – Perspectives on Teamwork and AI in Scientific Computing
P30 – The Portable Model for Multi-Scale Atmospheric Prediction (PMAP): Towards Sub-Kilometer Scale and Large-Eddy Simulation of Real Weather
P31 – Predictive Alerts and Atmospheric Data for Airport Windshear by CPAS 200m Weather Model
P32 – Profile-Guided-Optimisation of Lattice QCD Contractions on CPU and GPU
P33 – RDQ: A Zero-Copy Remote Data Queue for In-Situ Machine Learning in HPC
P34 – Scaling Linear Algebra: Eigenvalue Solvers and Performance Trends on Contemporary HPC Systems
P35 – Shedding Light on the Solar Dynamo Using Bayesian Data Science
P36 – Stencil Computation on Tenstorrent Wormhole
P37 – Structured Reinforcement Learning for Loop Transformation in MLIR
P38 – Tracking Mechanistic Evolution Across Brain Tissues and Cell Types Using Multiplex Networks
P39 – Tuning the Performance of Three-Body Interactions in Molecular Dynamics
P40 – Uncertainty Quantification for Energy Efficiency Analysis of Scientific Applications at Exascale
P41 – Using Generative Machine Learning to Produce High-Resolution Weather Data
ACMP01 – Adaptive Multidimensional Quadrature on Multi-GPU Systems
ACMP02 – Data Augmentation to Improve the Performance of Deep Learning-Based Seismic Inversion
ACMP03 – Deep Reinforcement Learning for Algorithm Selection in Molecular Dynamics Simulations
ACMP04 – Fine-Tuning Large Language Models for HPO-Term Recognition
ACMP05 – Hypergraph Partitioning for Sparse Matrix Reordering
ACMP06 – Improving Deep Learning Based Seismic Inversion with Online Augmentation
ACMP07 – Mapping the Productivity-To-Energy Trade-Off in Memory-Bound HPC via DVFS, Core Scaling, and C-State Control on Repurposed Hardware
ACMP08 – Matrix-Free vs. Matrix-Based Finite Element Solvers for 3D Advection–Diffusion–Reaction Equations
ACMP09 – Medulla: Cluster- and Application-level I/O Performance Diagnosis with LLMs
ACMP10 – Mixed Precision Acceleration of Light Matter Dynamics: Enabling HPC Co-Design for Quantum Material Discovery
ACMP11 – Mosaic: Automatic Categorization of I/O Patterns from Scientific Applications
ACMP12 – Semantic-Aware Implicit Neural Compression for Physics Simulations
ACMP13 – Solver-Integrated Lossy and Lossless Compression for Scalable Flow Simulations
ACMP14 – Stability and Accuracy of the r²SCAN Functional for Group-IV Elemental Solids in a Cost-Aware Workflow Perspective

Organised and co-sponsored by

Follow Us and Share