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  • User Guide
  • Theory and Methods
  • API Reference
  • Developer Guide
  • Project
  • GitHub
  • PyPI

Section Navigation

  • Getting Started
    • What is MC/DC?
    • Installation
    • First MC/DC Simulation
  • Simulation Lifecycle
  • Iterative Simulations
  • Tallies and Post-processing
  • Execution
    • Running MC/DC on CPUs
    • Running MC/DC on GPUs
    • Batch Job Scripts
  • Example Problems
    • Slab Shielding
    • Iterative Source Reweighting
    • Kobayashi Dog-Leg Void Benchmark
    • Time-Dependent Kobayashi Dog-Leg
    • Moving Neutron Source
    • Moving Fuel Pellet
    • Packaged Fuel Array (Universe and Lattice)
    • Sphere-in-Cube Fission Detector
    • C5G7 — k-eigenvalue example
    • C5G7 — Transient example
  • MC/DC Container Guide
  • Frequently Asked Questions
  • Troubleshooting
  • User Guide
  • Execution

Execution#

These guides explain how to run the same MC/DC input on different hardware and computing environments.

  • Start with Running MC/DC on CPUs for local execution, Numba modes, and MPI.

  • Use Running MC/DC on GPUs when targeting supported NVIDIA or AMD accelerators.

  • Use Batch Job Scripts when submitting calculations through a scheduler on an HPC system.

  • Running MC/DC on CPUs
  • Running MC/DC on GPUs
  • Batch Job Scripts

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