The San Diego Supercomputer Center at UC San Diego has announced the launch of ‘HPC Share’, a data sharing resource that will enable users of the Center’s high-performance computing resources to easily transfer, share, and discuss their data within their research teams and beyond.
Astronomers working on “first light” data from a newly commissioned telescope in Chile made a chance discovery that led to the identification of a rare eclipse of two brown dwarfs. The result published today in the journal Nature Astronomy.
A team of chemists and biochemists at UC San Diego used a combination of computational simulations and experiments to deepen understanding of the latest genome editing technology.
Researchers at the University of Rhode Island (URI) used the San Diego Supercomputer Center’s 'Comet' supercomputer to show that high-performance computer modeling can accurately simulate tsunamis from volcanic events.
Scientists work to understand circadian rhythms at the molecular level to help develop innovative therapies for fixing biological clock dysfunctions caused by inherited conditions, modern habits, shift working or aging.
A team of researchers from the University of California San Diego and the University of Pittsburgh offers a new approach for developing treatments for pandemic Influenza A (pH1N1).
Six UC San Diego researchers have been named to receive prestigious 2020 Alfred P. Sloan Research Fellowships. Considered among the most promising researchers working today, the new UC San Diego Sloan fellows are part of a cohort of 126 early career scientists selected in the U.S. and Canada.
SDSC and WIPAC researchers have conducted a second NSF-funded experiment that proves it is possible to elastically burst to very large scales of GPUs using the cloud.
The Protein Data Bank archive has released a new Coronavirus protease structure following the recent coronavirus outbreak, an ongoing viral epidemic primarily affecting mainland China that now threatens to spread to other parts of the world.
Researchers at Oregon State University have been using the Comet supercomputer at SDSC to test an algorithm they believe will reduce errors in the widely used three-day forecasts for water temperature, salinity levels, sea heights, and currents off the Oregon and Washington coasts.