CrayLabs/SmartSim-Zoo

A repository of CrayLabs and user contributed examples of using SmartSim.

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This collection provides practical examples for integrating machine learning models directly into high-performance simulations without saving intermediate data to disk. It demonstrates how scientists and engineers can couple complex simulation workflows with real-time AI inference. Researchers in fields like molecular dynamics, climate modeling, and computational fluid dynamics would find this useful for accelerating their research.

No commits in the last 6 months.

Use this if you are running complex scientific simulations and want to incorporate machine learning for online analysis or parameterization without the performance overhead of disk I/O.

Not ideal if you are looking for a standalone machine learning framework or if your simulations do not require real-time data exchange with AI models.

molecular-dynamics climate-modeling computational-fluid-dynamics high-performance-computing scientific-simulation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 17 / 25

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Language

Python

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Last pushed

Jun 11, 2024

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