Organization

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Argonne National Laboratory

Session Chairs

Ramesh Balakrishnan

Arvind Ramanathan

Presentations

Minisymposium

CRK-HACC: Next-Generation SPH Approach to Cosmological Hydrodynamics

Poster

P37 - A FLASH5 Orchestration System for Exposing and Capitalizing on Hierarchies of Parallelism

Minisymposium

Panel Discussion: How AI and Multi Scale Simulations are Changing the Landscape of Bio-Molecular and Materials Systems

Minisymposium

Portability and Performance Efforts for the E3SM-Multiscale Modeling Framework on Summit

Minisymposium

Predicting Wakes Behind Buildings: A Machine Learning Approach for Extracting Physics Informed Low-Order Models from Highly Resolved Flow-Field Datasets

Minisymposium

Programmable Infrastructure for Diverse, Scalable Learning at Exascale

Minisymposium

Reproducibility of Materials Simulations and Accessibility to Data

Paper

Stream-AI-MD: Streaming AI-driven Adaptive Molecular Simulations for Heterogeneous Computing Platforms

Minisymposium

Targeting Billion-Scale Compound Libraries with Deep Learning: A SARS-Cov-2 Example

Sessions

Minisymposium

Artificial Intelligence Enabled Multiscale Molecular Simulations in Biological and Material Sciences

Minisymposium

Exploiting and Supporting Exascale Infrastructure for Deep Learning Applications

Minisymposium

Developing Scientific Codes for Predictive Simulations on Massively Parallel Heterogeneous Computing Platforms: Integrating Extreme-Scale Computation, Data Analysis and Visualization, Part I

Minisymposium

Data Locality Challenges in Astrophysics Applications

Minisymposium

Developing Scientific Codes for Predictive Simulations on Massively Parallel Heterogeneous Computing Platforms: Integrating Extreme-Scale Computation, Data Analysis and Visualization II