The San Diego Supercomputer Center (SDSC) at UC San Diego has Rick Wagner chief technology officer. Wagner served as HPC Systems Engineer and then HPC Systems Manager at SDSC between 2010 and 2016 before joining the University of Chicago as a member of the Globus management team. At Globus, Wagner oversaw the Professional Services group, working….
SDSC’s Peter Rose Wins COVID-19 NIH/NICHD Award
August 10, 2022 by
Aug. 9, 2022 — Peter Rose, director of the Structural Bioinformatics Laboratory at the San Diego Supercomputer Center at UC San Diego, was recently presented with a team award from the National Institutes of Child Health and Human Development (NICHD) noting his work in the COVID-19 Common Data Elements Working Groups. Specifically, Rose has been […]
San Diego Supercomputer Center to Offer Two Summer Institutes
April 7, 2022 by
April 7, 2022 — The San Diego Supercomputer Center at UC San Diego has planned summer institutes for June and August, one focused on cyberinfrastructure-enabled machine learning and the on high-performance computing (HPC) and data science. Application deadlines are April 15 and May 13, respectively. The Cyberinfrastructure-Enabled Machine Learning (CIML) Summer Institute will be held June 27-29 […]
SDSC and Fungible Claim Record HPC Storage Performance
November 16, 2021 by
SANTA CLARA, Calif. & SAN DIEGO — Fungible Inc., a data-centric computing company, and the San Diego Supercomputer Center (SDSC) at the University of California San Diego, today announced they have shattered the NVMe over TCP storage initiator performance world record, achieving 10M IOPS,* beating the old record of 6.55 IOPS. The tests were administered […]
SDSC Houses Novel Metabolomics Data Repository
September 15, 2021 by
September 14, 2021 — How is the “normal” resting heart rate determined? How does the American Diabetes Association establish the “normal” fasting glucose value? Understanding these “normal” ranges for metabolism is complex, especially because the human body may contain tens of thousands of metabolites at any one time; each individual molecule could be tied to […]
SDSC Part of New NSF Project Supporting Transboundary Aquifer Resiliency
August 12, 2021 by
August 11, 2021 — Transboundary aquifers, which are deep subsurface water sources shared by multiple countries, have long been a critical source of water for communities along the borders of the U.S. and Mexico. Recent decline in water levels and quality – coupled with increased use – provoked concern regarding long-term sustainability of several transboundary aquifers […]
SDSC Team Awarded Funding for NSF GO FAIR Symposium
August 11, 2021 by
Aug. 10, 2021 — The San Diego Supercomputer Center’s (SDSC) Research Data Services (RDS) Chief Strategist Melissa Cragin and Division Director Christine Kirkpatrick were recently awarded a grant by the National Science Foundation to fund a GO FAIR symposium in the next several months. The production of Findable, Accessible, Interoperable and Reusable (FAIR) data and […]
SDSC Picks Habana AI Training and Inference Chips for Voyager HPC System
April 8, 2021 by
The San Diego Supercomputer Center has selected Habana Labs’ AI training and inference accelerators for SDSC’s Voyager supercomputer, scheduled to be in service this fall. Habana said the HPC system, housed at the University of California, San Diego, will utilize Habana’s interconnectivity technology to scale AI training capacity with 336 Habana Gaudi training processors, which […]
XSEDE-Allocated Supercomputers, Comet and Stampede2, Accelerate Alzheimer’s Research
March 12, 2021 by
By Kimberly Mann Bruch, San Diego Supercomputer Center Communications Since 2009, Daniel Tward and his collaborators have analyzed more than 47,000 images of human brains via MRI Cloud — a gateway created to collect and share quantitative information from human brain images, including subtle changes in shape and cortical thickness. The latter was the topic of […]
MIT Researchers Develop Neural Networks for Computational Chemistry Using SDSC, PSC Supercomputers
February 11, 2021 by
Even though computational chemistry represents a challenging arena for machine learning, a team of researchers from the Massachusetts Institute of Technology (MIT) may have made it easier. Using Comet at the San Diego Supercomputer Center at UC San Diego and Bridges at the Pittsburgh Supercomputing Center, they succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.
