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Intel, NSF Name Winners of Wireless Machine Learning Research Funding

Intel and the National Science Foundation (NSF), joint funders of the Machine Learning for Wireless Networking Systems (MLWiNS) program, today announced recipients of awards for research projects into ultra-dense wireless systems that deliver the throughput, latency and reliability requirements of future applications – including distributed machine learning computations over wireless edge networks. Here are the […]

Supercomputing the San Andreas Fault with CyberShake

With help from DOE supercomputers, a USC-led team expands models of the fault system beneath its feet, aiming to predict its outbursts. For their 2020 INCITE work, SCEC scientists and programmers will have access to 500,000 node hours on Argonne’s Theta supercomputer, delivering as much as 11.69 petaflops. “The team is using Theta “mostly for dynamic earthquake ruptures,” Goulet says. “That is using physics-based models to simulate and understand details of the earthquake as it ruptures along a fault, including how the rupture speed and the stress along the fault plane changes.”

Podcast: Societal Impact of Earthquake Simulations at Extreme Scale

In this TACC podcast, the Thomas Jordan from the University of Southern California describes how he uses the computational resources of XSEDE, the Extreme Science and Engineering Discovery Environment, to model earthquakes and help reduce their risk to life and property. Dr. Jordan was invited to speak at SC15 on the Societal Impact of Earthquake Simulations at Extreme Scale.