Berkeley Research Computing

Steve Masover's picture

UC Berkeley and LBNL researchers: invitation to use JupyterHub interactive high-performance node

Logo images: Jupyter; Pacific Research Platform; Berkeley Institute for Data Science; Berkeley Research Computing

UC Berkeley and LBNL researchers are invited to use -- free of charge -- a richly-provisioned JupyterHub node loaned to the campus by the Pacific Research Platform project, and jointly managed by the Berkeley Research Computing (BRC) Program and the

Undergraduate student uses Savio to perform Natural Language Processing on Fanfiction

Smitha Milli and David Bamman

Smitha Milli, a fourth year Electrical Engineering and Computer Science (EECS) undergraduate student at UC Berkeley, is collaborating with David Bamman, Assistant Professor at the Berkeley School of Information, to perform Natural Language Processing (NLP) on fanfiction texts.

Aron D. Roberts's picture

Savio HPC cluster introductory training on August 2, 2016

Savio screenshot - available software modules

New and prospective users of Savio and other Berkeley Research Computing high performance computing (HPC) clusters (Cortex and Vector) are invited to attend an introductory training session on Tuesday, August 2, 2016. Topics will include a system overview and a review of basic cluster usage, such as logging in, accessing software, running jobs, and transferring files.

Theoretical chemists use Savio to build molecular computational models

Eric Neuscamman

“Well, I’m not safe near real chemicals,” says UC Berkeley Professor Eric Neuscamman, a theoretical chemist working to develop increasingly accurate and computationally cost-effective methods of modeling electron behavior in molecules. To inform chemists’ experimentation, theoretical chemists use supercomputers to solve complex mathematical equations, including the Schrödinger equation, that yield predictive models of what molecules will do in chemical reactions.