High Performance Computing at Berkeley Lab

Berkeley Lab provides Lawrencium, a 1148-node (20,436 computational cores) Linux cluster to its researchers needing access to computation to facilitate scientific discovery. The system, which consists of shared nodes and PI-contributed Condo nodes is equipped with an infiniband interconnect and has access to a 1.8 PB parallel filesystem storage system. Large memory, GPU and Intel Phi Knight's Landing nodes are also available.


We offer comprehensive Linux cluster support, including pre-purchase consulting, procurement assistance, installation, and ongoing support for PI-owned clusters. Our HPC User Services consultants can also help you to get your applications performing well. UC Berkeley PIs can also make use of our services through the very successful Berkeley Research Computing (BRC) program available through UC Berkeley Research ITAltogether the group manages over 53,000 compute cores and over 2100 users across 267 research projects for the Lab and UC Berkeley.

June 15, 2018 - 
How a climate scientist leverages supercomputing to study wild weather from winds to wildfires
What is the relationship between the frequency of lightning strikes and frequency of wildfires? That’s just one of the questions researcher David Romps is trying to answer. As a faculty scientist in Berkeley Lab's Climate and Ecosystem Sciences Division, Romps leverages Berkeley Lab Science IT resources like Lawrencium to better understand Earth’s climate. Read More »

June 11, 2018 - Jackie Scoggins selected as 'Women at the Lab' honoree
The Scientific Computing Group's Jackie Scoggins is one of sixteen women being recognized for their dedication, talent, STEM contributions, and commitment to the Lab's mission. The awards ceremony will be on July 9, 2018 at 3:00 pm

April 17, 2018
 - Berkeley Lab Researchers Develop Platform for Hosting Science Data Analytics CompetitionsNNSA turned to researchers and engineers in the Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computational Research (CRD), Nuclear Science (NSD) and Information Technology (IT) divisions to help build a Kaggle-inspired platform. Now that the system has been developed and is hosted on the IT  Divisions new Scientific VM service, the team says it also can be used to host data analytics competitions for other scientific problems or disciplines. Read more.

Nov 13, 2017 - 
LBNL Singularity wins HPCWire Editors and Readers Choice Awards
LBNL's Singularity Container software has won two highly coveted HPCWire awards announced at Supercomputing 2017 this week. In addition to winning the Editors Choice award for the second year in a row, Singularity was recognized with the Reader's Choice award for Best HPC Programming Technology. 

Oct 11, 2017 - Computing for Free - Announcing the PI Computing Allowance
The PI Computing Allowance (PCA) is a new program that provides up to 300K Service Units (SUs) of free compute time per fiscal year to all qualified Berkeley Lab PIs, where one SU is equivalent to one compute cycle on the latest standard hardware. The purpose of the PCA program is to outreach to to areas of science where the use of computing to accomplish science is relatively new. Go here for details on how to apply.

Oct 1, 2017 - Lawrencium LR5 Cluster now available
We recently announced the availability of the new Lawrencium LR5 4032-core Broadwell compute cluster which consists of 144 ea. compute nodes equipped with Intel 14-core Broadwell processors. As before, researchers can purchase compute nodes to add to Lawrencium Condo and they will receive free cluster support in exchange for their excess cycles.

Aug 1, 2017 - GPU Condo Pool now open for PIs
We have found that many users can take advantage of the inexpensive single-precision compute power of Nvidia's consumer GPU boards so we are now taking orders for users who want to buy into our new GPU pool. This new configuration is a 1U, dual Haswell processor machine with 4 ea. GTX1080Ti cards at the cost of $8300. Interested users can contact Gary Jung <gmjung@lbl.gov> for more details.


Materials Project We recently put a 56-node 3584-core Knights Landing Cluster for the Materials Project led by PI Kristin Persson. The project uses supercomputing to compute the properties of inorganic materials in order to facilitate the discovery of new materials.

ALICE (A Large Ion Collider Experiment)  LBNL has recently become one of the tier 2 computing sites for the Worldwide LHC Computing Grid in order to provide computing and data storage for the ALICE detector project under project lead Jeff Porter.

Center for Financial Technology We are partnered with PI John Wu of the Computational Research Division to build a 128-node, 3072-core LInux cluster to support a collaboration between the Lab and Delaware Life. The cluster is being used to investigate modeling of financial markets.

Globus for Google Drive Using Google Drive for storage can be an exercise in babysitting data transfers. We partnered Globus to develop a connector to make big data transfers to and from Google Drive simple and painless.

The San Diego Supercomputer Center (SDSC) is making major high-performance computing resources available to the UC and Lab community through a new introductory program called HPC@UC. Researchers can apply for awards up to 1M core-hours on SDSC's new Comet Supercomputer.

Big Data at the ALS
We build a Data Pipeline using a Fast 400MB/s CCD, a 78,392 core GPU cluster and a 260TB Data Transfer Node with Globus Online for PI David Shapiro to do the X-ray diffraction 3D image reconstruction at the new COSMIC Beamline 7.0.1. Read more here about how their project set the microscopy record by achieving the highest resolution ever.