InTheLoop
The weekly newsletter for Berkeley Lab Computing Sciences
Wednesday, August 14, 2019
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Monterey Data Conference Dives Into Deep Learning
Area, Association for High Speed Computing Launch Inaugural Event
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Last week's Monterey Data Conference drew attendees from national labs, universities, and industry to share the latest in scientific data analysis.
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The Computing Sciences Area at Lawrence Berkeley National Laboratory joined forces with the Association for High Speed Computing (AHSC) to organize and support the inaugural Monterey Data Conference, held August 5-8 in Monterey, Calif. This annual, invitation-only meeting was launched this year to give researchers from DOE national laboratories, facilities, universities, and industry the opportunity to share and showcase the latest advances and challenges in scientific data analysis and computing.
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Join Friday's Microelectronics Town Hall
All interested staff are invited to attend a town hall on future research and collaboration opportunities in microelectronics this Friday, August 16, 2-4 p.m. in Building 59 (Wang Hall) Room 3101.
In the town hall, Berkeley Lab leaders will discuss the strategic importance of upcoming funding opportunities that relate to the lab-wide LDRD "Beyond Moore's Law" initiative. Attendees will also have time to share their ideas for what the lab should include in related proposals. Additional background materials are available online. If you would like to share ideas, please upload a one-slide summary and come prepared to make brief remarks.
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CRD's Lin Lin Wins Presidential Early Career Award
Paul Dabbar, DOE Undersecretary for Science, presented Lin Lin, a faculty scientist with Berkeley Lab’s Computational Research Division and associate professor in UC Berkeley’s Mathematics Department, with the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) during a July 25 ceremony in Washington, D.C. Lin is among 315 researchers named on July 2 to receive the award this year, the highest honor bestowed by the U.S. government on early-career researchers.
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DL4Sci School Sessions Now on YouTube
Videos of all the sessions from the first Deep Learning for Science School (DL4Sci), held July 15-19 at Berkeley Lab, are now available on YouTube. More than 175 scientists and students from DOE labs and university research groups participated in the week-long workshop designed to help educate scientists about the capabilities and practicalities of using these new tools. The workshop covered a range of topics including neural network training; deep learning reproducibility; fairness and sequential and generative models, deep learning for molecular engineering and quantum chemistry; hyperparameters optimization; feature-wise transformation; object detection; geometric deep learning; and image segmentation.
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InTheLoop and CS News are Combining Forces
Starting in September, the Computing Sciences monthly newsletter, CS News, will be combined with InTheLoop and published every other week. Sporting an updated look, the new InTheLoop will be delivered to all subscribers to both newsletters. Between issues, keep up with what’s happening on the CS websites and our social media feeds, and rest assured that any urgent message, news, or directive will still be delivered in the form of an email alert or Level-1 email.
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2019 ALCC Program Supports 10 Research Teams With 4 Million Node-Hours at NERSC
Each year, the DOE Office of Advanced Scientific Computing Research’s (ASCR’s) Leadership Computing Challenge (ALCC) awards supercomputing resources to high-risk, high-payoff simulations in energy-related fields. At NERSC, 10 research projects were awarded a total of 4.1 million node-hours on the Cori supercomputer for the 2019-2020 program year.
Two Berkeley Lab researchers were among the award winners. CRD's David Trebotich received 860,000 node-hours for his project “Multiphase Flow in Shale.” And, CRD's Paolo Calafiura is a member of another team that received 400,000 node-hours for “Scaling LHC proton-proton collision simulations and Machine Learning for the ATLAS experiment.”
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This Week's CS Seminars
»CS Seminars Calendar
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ExaStar aims to create simulations for comparison with experiments and observations to help answer a variety of questions: Why is there more iron than gold in the universe? Why is anything rarer than anything else? Why is finding transuranic elements on the face of the earth difficult? In this podcast, Berkeley Lab's Dan Kasen joins a collaborator to discuss the DOE Exascale Computing Project (ECP) ExaStar project.
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