gpCAM
Mission of the project
gpCAM is an API and software designed to make autonomous data acquisition and analysis for experiments and simulations faster, simpler and more widely available. The tool is based on a flexible and powerful Gaussian process regression at the core. The flexibility stems from the modular design of gpCAM which allows the user to implement and import their own Python functions to customize and control almost every aspect of the software. That makes it possible to easily tune the algorithm to account for various kinds of physics and other domain knowledge, and to identify and find interesting features. A specialized function optimizer in gpCAM can take advantage of HPC architectures for fast analysis time and reactive autonomous data acquisition.
Simple API
The API is designed in a way that makes it easy to be used
Powerful Computing
gpCAM is implemented using torch and DASK for fast training and predictions
Advanced Mathematics for Increased Flexibility
gpCAM allows the advanced user to import their own Python functions to control the training and prediction
Software for the Novice and the Expert
Simple approximation and autonomous-experimentation problems can be set up in minutes; the options for customization are endless
Questions?
Contact MarcusNoack@lbl.gov to get more information on the project. We also encourage you to join the SLACK channel.
Want to transform your science with autonomous data acquisition?
gpCAM is a software tool created by CAMERA
The Center for Advanced Mathematics for Energy Research Application
Partners
Supported by the US Department of Energy Office of Science
Advanced Scientific Computing Research (steven.lee@science.doe.gov)
Basic Energy Sciences (Peter.Lee@science.doe.gov)