## Monte Carlo Area Estimation

Monte-Carlo method is a broad class of algorithms that use repeated random sampling to obtain numeric
results for problems that are difficult or impossible to solve using other means. Monte Carlo algorithms
are embarrassingly parallel and generally compute bound. We implemented an area under the curve estimation
problem that is a common use case of Monte Carlo simulation. We had to implement parallel reductions using
MPI collectives and Pthread synchronizations to support this problem, but it has mainly been included in the
application suite as the sole compute bound problem.

## Multicore Monte Carlo Performance

### Multicore Monte Carlo Strong Scaling

## Segmented Monte Carlo Performance

### Segmented Memory Monte Carlo Strong Scaling

### Segmented Memory Monte Carlo Weak Scaling

## Hybrid Monte Carlo Performance

### Hybrid Monte Carlo Strong Scaling

### Hybrid Monte Carlo Weak Scaling