The San Diego Supercomputer Center (SDSC) at the University of California San Diego received two HPCwire awards for 2020, including ‘Best Use of HPC (High-Performance Computing) in the Cloud’, and ‘Best Use of HPC in Energy’.
SDSC is part of a multi-year NSF award to harness the computing capacity of thousands of computers assembled in a network of campus clusters to substantially cut time to science results that might take years to be done in days, especially for applications that are parallel by design.
Supercomputer simulations, done using resources at UC San Diego by researchers at the New Jersey Institute of Technology (NJIT), show how oil dilutes under specific conditions, which may lead to more effective countermeasures against large oil spills.
The transport of nine types of plastics floating in Lake Erie was modeled in studies that used SDSC's Comet supercomputer to create a 3D model of invasive plastic particles.
A team from the San Diego Supercomputer Center at UC San Diego contributed to a study led by the Vanderbilt Vaccine Center on T cell receptors, which play a vital role in alerting the adaptive immune system to mount an attack on invading foreign pathogens, including Coronavirus SARS-CoV-2.
Multi-university collaboration to jointly develop a new science gateway allowing researchers to study the behavior of new and existing materials using X-ray diffraction.
The San Diego Supercomputer Center at UC San Diego, the University of Washington, and UC Berkeley have entered production operations of the National Science Foundation-funded CloudBank program, which aims to simplify the use of public clouds across computer science research and education.
Physics researchers at UC San Diego successfully used machine learning techniques and supercomputer simulations to develop a new model for plasma turbulence o better understand its self-organization process.
The National Science Foundation has renewed funding for OpenTopography, a science gateway that provides online access to high-resolution topography data and processing tools to advance research and education in areas ranging from earthquake geology to ecology and hydrology.
A series of simulations using multiple supercomputers, including Comet at the San Diego Supercomputer Center at UC San Diego, suggests that when the neutron stars’ masses are different enough, the result is far noisier, making them easier to detect.