The Cinema toolkit has been developed by Los Alamos National Laboratory, as part of the Cinema Project.
Cinema is an innovative way of capturing, storing and exploring extreme scale scientific data. It is a highly interactive image-based approach to data analysis and exploration that promotes investigation of large scientific datasets, and is easily integrated into your existing workflows through extensions to widely used open source tools. This novel approach supports interactive exploration of a wide range of results, while still significantly reducing data movement and storage.
Extreme scale scientific simulations are leading a charge to exascale computation, and data analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O constraints, we expect in situ visualization and analysis will be a critical component of these workflows. Options for extreme scale data analysis are often presented as a stark contrast: write large files to disk for interactive, exploratory analysis, or perform in situ analysis to save detailed data about phenomena that a scientists knows about in advance. With Cinema, we have developed a novel framework for a third option – a highly interactive, compact and scalable way to explore data.
The Cinema ecosystem consists of database specifications, writers, viewers and algorithms. Among the many use cases for Cinema are two common ones:
- If you have a scientific dataset, and you'd like to create a Cinema database, you can easily export one using the Cinema writers incorporated into ParaView and VisIt.
- You can write your own database, using your current data, by referencing one of the database specifications in this repository.
All of the Cinema open source code can be found under the cinemascience
group at
https://github.com/cinemascience
. This repository collects the officially released
code. Other repositories under the cinemascience
organization are considered
experimental, and are not supported as production code by the Cinema team, but
are viable projects dedicated either to experimental applications, algorithms or
viewers.
The Cinema toolkit consists of the following directories and repositories. Version information, test plans and documentation can be found in the individual repositories:
specs/
, a set of specifications for Cinema databasesviewers/
cinema_compare
, a simple comparison viewer for one or more databasescinema_components
, a set of components that can be used to build browser-based cinema viewerscinema_explorer
, the main browser-based cinema viewer, based oncinema_components
cinema_scope
, a cross-platform cinema viewer application
writers/
cinema_lib
, the cinema python library andcinema
command line tool
Please note that this repository contains submodules, so you will have to update those modules after cloning:
git submodule update --init --recursive
Please mail [email protected]
with any questions.
Cinema is a research project managed by the Data Science at Scale Team team at Los Alamos National Laboratory.