The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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Seminar: Diamond: Democratizing Large Foundation Model Training for Science

Details

Date:
April 16
Time:
12:00 pm - 1:00 pm
Categories:
,
 

The Rutgers University Institute for Quantitative Biomedicine in collaboration with the RAD Collaboratory and the Protein Data Bank invite you to the following seminar:

 

Zhao Zhang, Rutgers University

Diamond: Democratizing Large Foundation Model Training for Science

Wednesday, April 16 | 12:00 PM

In Person: Proteomics Building, Room 120
Zoom: go.rutgers.edu/gvyyc2xu

Abstract:

Diamond is a service designed to facilitate large model training across GPU clusters for scientists. It exposes web user interface to build container images, manage training jobs, monitor job progress, and manage data and provenance across clusters. Diamond relies on Globus Auth, Globus Transfer/Search, and Globus Compute for authentication, data management, and container/job management. So far, Diamond has been tested on NCSA Delta, TACC Frontera, and Lonestar6. We aim to release the alpha version of Diamond in early April and to support all NAIRR Pilot GPU resources. In this talk, I will show a demo of running OpenFold using Diamond and discuss various opportunities of applying modern deep learning techniques for structural biology.