Simulation of probabilistic forest fire spread to analyze how size and chance affect burnout time and how number of workers affects runtime. Used C and connected to infosphere to run on the cluster using MPI. Explored concepts of percolation, parameter search, and Monte Carlo methods. 8/26/19 - 10/18/19
-
Notifications
You must be signed in to change notification settings - Fork 0
Simulation of probabilistic forest fire spread to analyze how size and chance affect burnout time and how number of workers affects runtime. Used C and connected to infosphere to run on the cluster using MPI. Explored concepts of percolation, parameter search, and Monte Carlo methods. 8/26/19 - 10/18/19
sarayliu/Fire-Spread
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Simulation of probabilistic forest fire spread to analyze how size and chance affect burnout time and how number of workers affects runtime. Used C and connected to infosphere to run on the cluster using MPI. Explored concepts of percolation, parameter search, and Monte Carlo methods. 8/26/19 - 10/18/19
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published