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News Archive - San Diego Supercomputer Center

Supercomputer Simulations Help Optimize Floating Wind Farms

Researchers used SDSC's Comet supercomputer to better understand the wake effects of large floating wind farm arrays, which have become more prevalent in recent years.

NSF Awards SDSC and Partners $5.9 Million to Host EarthCube Office

The NSF has awarded SDSC and its partners a three-year, $5.9 million grant to host the EarthCube Office as part of the ongoing NSF-funded EarthCube program.

Supercomputers Pave the Way for New Machine Learning Approach

Researchers at SDSC, LANL, and UNC Chapel Hill have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds.

SDSC Awarded NSF Grant for Triton Shared Computing Cluster Upgrade

The NSF has awarded SDSC a two-year grant worth almost $400,000 to deploy a new system called CC* Compute: Triton Stratus as an enhancement to the existing Triton Shared Computing Cluster (TSCC) campus High-Performance Computing (HPC) platform.

With Landmark Gift, UC San Diego Will Map Compassion in the Brain, then Prove its Power

The T. Denny Sanford Institute for Empathy and Compassion at UC San Diego will investigate the neurological basis of compassion, design a compassion-focused medical curriculum and develop new methods to protect and promote the well-being of current clinicians and their patients.

NSF Awards $10 Million to SDSC to Deploy ‘Expanse’ Supercomputer

The San Diego Supercomputer Center (SDSC) at UC San Diego has been awarded a five-year grant from the National Science Foundation (NSF) worth $10 million to deploy Expanse, a new supercomputer designed to advance research that is increasingly dependent upon heterogeneous and distributed resources.

SDSC’s Comet Supercomputer Used to Model Graphene-Water Interaction

NJIT Mechanical and Industrial Engineering Professor Dibakar Datta and his team used the Comet supercomputer at the San Diego Supercomputer Center to create simulations of graphene-water interactions to see if graphene is a good candidate for delivering medicine to specific parts of the body.

Using Machine Learning Models to Better Predict Bladder Cancer Stages

Bladder cancer, one of the most common cancers in the U.S., may be soon helped by a novel non-invasive diagnostic method thanks to machine learning research by researchers at UC San Diego's San Diego Supercomputer Center and Moores Cancer Center.

SDSC’s Sherlock Division Debuts Innovation Accelerator Platforms

SDSC's Sherlock Division at SDSC) has announced the launch of Innovation Accelerator Platforms within its Sherlock Cloud infrastructure and its newest offering, Vyloc Cloud.

Using Machine Learning to Create More Capable Capacitors

Researchers at the Georgia Institute of Technology are using supercomputers and machine learning techniques to find ways to build more capable capacitors that store more energy.