The Global Change Biology Journal earlier this year published findings related to the Effects of 21st Century Climate, Land Use, and Disturbances on Ecosystem Carbon Balance in California after using the San Diego Supercomputer Center’s Comet supercomputer to create simulations of various global climate, land-use, and emissions models.
Tag: San Diego Supercomputer Center
SDSC, Wisconsin University IceCube Center Conduct GPU Cloudburst Experiment
The San Diego Supercomputer Center (SDSC), an Organized Research Unit of UC San Diego; and the Wisconsin IceCube Particle Astrophysics Center (WIPAC) at the University of Wisconsin–Madison successfully completed a computational experiment as part of a multi-institution collaboration that marshalled all globally available for sale GPUs (graphics processing units) across Amazon Web Services, Microsoft Azure, and the Google Cloud Platform.
Predictive Science, Inc. Releases Influenza Predictions
San Diego-based Predictive Science, Inc. this week released their first forecast for the 2019-2020 influenza season, which typically runs from November through March.
Using Machine Learning to Hunt Down Cybercriminals
MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) and the Center for Applied Internet Data Analysis (CAIDA) at the San Diego Supercomputer Center have used machine learning to identify “serial hijacking” of IP addresses.
CAIDA’s KC Claffy Inducted Into Internet Hall of Fame
KC Claffy, director of the Center for Applied Data Analysis (CAIDA) at the University of California’s San Diego Supercomputer Center, has been inducted into the Internet Hall of Fame for her pioneering work in the area of internet measurement and analysis.
Supercomputer Simulations Help Optimize Floating Wind Farms
The Comet supercomputer at the San Diego Supercomputer Center (SDSC) and the Stampede2 supercomputer at the Texas Advanced Computing Center (TACC) were used to perform simulations that showed how floating turbine wakes are very similar those of fixed-bottom turbines, except that floating turbine wakes are deflected upward and have slightly stronger turbulence at the edge of their wakes.
Supercomputers Pave the Way for New Machine Learning Approach
Researchers 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. The new approach can be applied to new molecules in milliseconds, enabling research into a far greater number of compounds over much longer timescales.
SDSC Receives New Funding for West Big Data Innovation Hub
The National Science Foundation (NSF) has awarded a second round of funding for the country’s four Big Data Innovation Hubs – organizations where academics, community leaders, regional business, and local and state government representatives collaborate to help solve grand challenges…