glossary.rst

Glossary

The following terms describe both the features and functionality of the software, as well as information relevant to using .

analyzer

Functionality that uses the MapReduce framework to process large data sets in parallel, typically on a high-performance computing (HPC) cluster. For example, if you would like to focus on specific data points from all simulations in one or more experiments then you can do this using analyzers with and plot the final output.

asset collection

A collection of user created input files, such as demographics, temperature, weather, binaries, and overlay files. These files are stored in and can be available for use by other users.

assets

See asset collection.

builder

A function and list of values with which to call that function that is used to sweep through parameter values in a simulation.

calibration

The process of adjusting the parameters of a simulation to better match the data from a particular time and place.

entity

Each of the interfaces or classes that are well-defined models, types, and validations for items, such as simulations, analyzers, or tasks.

An agent-based mechanistic disease transmission model built by that can be used with . See the EMOD GitHub repo.

experiment

Logical grouping of simulations. This allows for managing numerous simulations as a single unit or grouping.

high-performance computing (HPC)

The use of parallel processing for running advanced applications efficiently, reliably, and quickly.

parameter sweep

An iterative process in which simulations are run repeatedly using different values of the parameter(s) of choice. This process enables the modeler to determine what a parameter’s “best” value or range of values.

platform

The computing resource on which the simulation runs. See platforms/platforms for more information on those that are currently supported.

simulation

An individual run of a model. Generally, multiple simulations are run as part of an experiement.

server-side modeling tools (SSMT)

Modeling tools used with that handle computation on the server side, rather than the client side, to speed up analysis.

suite

Logical grouping of experiments. This allows for managing multiple experiments as a single unit or grouping.

task

The individual actions that are processed for each simulation.