High-Performance Computing

Intro to Cloud Computing

March 22, 2018, 3:30pm

Open To: Faculty, Graduate Students

Description:

See event details for participation information.

Software Installation Training & Scientific Linux 7 Clinic

November 1, 2017, 3:30pm

Open To: Faculty, Graduate Students, Staff

Description:

See event details for participation information.

Getting Started with Savio

September 19, 2017, 3:30pm

Open to: Faculty, graduate students, and staff

Description:

This workshop is an introduction to using Savio, Berkeley's high-performance compute cluster. Savio is a state-of-the-art, professionally administered computing system with ancillary infrastructure designed to meet the unique needs of Berkeley's world-class research community. It is supported through a partnership between Berkeley Research Computing and the High-Performance Computing Services Group at Lawrence Berkeley National Laboratory.

See event details for participation information.

Photos and Resources from the Teaching and Research Resource Fair

April 24, 2017

We had a great turnout for our first-ever AIS-palooza on April 18, 2017! Thank you to everyone who came, as well as to all of our wonderful presenters.

For those of you who couldn't make it to the event, check out the photos below to see what you missed. You can also view the program guide and download some of the handouts and slides from our presenters.

From Sources to Data: Using OCR in the Classroom

March 16, 2017, 10:30am

Open to: All faculty, graduate students, and staff

Description:

How do you go from materials in an archive to data that you can search, process, and analyze computationally? Students who are learning to analyze research materials are often presented with those materials in an easy-to-use, digitized state, skipping over some of the crucial steps in data acquisition and cleanup that they’ll face when doing their own research.

Registration is unavailable.

Using Jupyter Notebooks on Savio and Integrating with Box

March 7, 2017, 3:30pm

Open to: Faculty, Researchers, Graduate Students, and Staff

Registration is not required.