Parallelizing Monte Carlo

• Parallel moves in independent regions

  • moves and range of interactions cannot span large distances

• Hybrid Monte Carlo

  • apply MC as bad MD, and apply MD parallel methods
    time information lost while introducing limitations of MD
    

• Farming of independent tasks or simulations

  • equilibration phase is sequential
  • often a not-too-bad approach

• Parallel trials with coupled acceptance

  • “Esselink” method

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