Carlo is a framework for developing high-performance, distributed (quantum) Monte Carlo simultations. Its aim is to take care of model-independent tasks such as

• autocorrelation and error analysis,
• Monte-Carlo-aware MPI scheduling, and
• checkpointing

while leaving all the flexibility of implementating Monte Carlo updates and estimators to you.

Getting started

To install the package, type

using Pkg; Pkg.add("Carlo")

The package itself does not include Monte Carlo algorithms. The quickest way to see how to implement one yourself is to check out the reference implementation for the Ising model. For a state-of-the-art Monte Carlo code, take a look at StochasticSeriesExpansion.jl.