high performance computing

Atmospheric chemists use Savio to build computational gas emission models

Professor Ron Cohen and team

Ron Cohen, Professor of Chemistry and Earth and Planetary Sciences at UC Berkeley, and graduate students Alexis Shusterman, Josh Laughner, and visiting Harvard graduate student Alex Turner, are “trying to create a model of the world that matches the observations of the world.” That is, Cohen’s team is using sensor technology to measure the concentrations of atmospheric gases at both local and global scales, and from that data develop computational models that describe the emission processes and rates that cause those observations.

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.

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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.

BRC Program supports Astrophysicists’ research on black holes

Alexander (Sasha) Tchekhovskoy, UC Berkeley

Berkeley astrophysicists harnessed the campus supercomputing cluster, Savio, to make important advances in understanding how black holes behave. Working with Berkeley Research Computing (BRC) staff to tune their software to the Savio environment, Alexander Tchekhovskoy was able to produce findings published in six journal articles even in the face of unanticipated restrictions in his allocation on nationally-run supercomputing infrastructure.

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Singularity 1.0 released: containerized applications on HPC clusters

Singularity web site (screen shot), 20 April 2016

On April 14, 2016, the release of Singularity 1.0 was announced by Greg Kurtzer, Linux Cluster Architect for Berkeley Research Computing (BRC) Program’s Savio cluster and LBNL’s HPC group.

Singularity provides a way for researchers and others to package together the artifacts of their computational workflows - one or more Linux applications, with all their dependencies - and run them successfully in a variety of other environments.