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ExaDigiT: the exascale digital twin framework

ExaDigiT is an open, modular ecosystem for modeling, simulating, and visualizing large-scale supercomputing facilities. The framework integrates real telemetry data, simulation models, and visualization tools to enable:

  • energy-efficient supercomputer operation
  • predictive maintenance
  • ar/vr-enabled exploration of power, cooling, and workloads

For more information, contact: Wes Brewer at brewerwh@ornl.gov


Structure

🧊 cooling

modelica-based and csm-driven models for facility-level thermal management.

⚙️ simulation

raps-based workload and power modeling tools.

🕶 visualization

ar/vr and visual analytics modules for immersive digital twins.

🔧 tools


Instructions for building Sphinx-based documentation

This is the ExaDigiT documentation source. The documentation is deployed at https://exadigit.readthedocs.io/.

Setup Python dependencies

pip install -r requirements.txt

Build documentation

make html

Open in browser

open build/html/index.html

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ExaDigiT documentation in Python Sphinx.

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