We'll be holding a CentOS Dojo at Oak Ridge National Labs, in Oak Ridge, Tennessee, on Tuesday, April 16th, 2019
[https://www.olcf.ornl.gov/calendar/centos-dojo/ REGISTER TODAY]
Further details will be here as they are available. Also watch [http://twitter.com/centosproject/ @CentOSProject] on Twitter for updates
We will have speakers from many technology sectors, including:
[https://www.olcf.ornl.gov/directory/staff-member/jack-wells/ Dr. Jack Wells], Director of Science for the Oak Ridge Leadership Computing Facility (Keynote)
[https://github.com/Atoptool Gerlof Langeveld], author of atop
[https://www.linkedin.com/in/volkoa/ Alex Volkov], NVidia
[https://www.linkedin.com/in/dalton-lunga-a6411a4/ Dalton Lunga], ORNL
[http://smoogespace.blogspot.com/ Steve Smoogen], Red Hat
[https://www.ornl.gov/staff-profile/nouamane-laanait Dr. Numan Laanait], Computational Physicist, ORNL
- Keynote: An overview of scientific computing at ORNL, Dr. Jack Wells
- Decoding Inverse Imaging Problems in Materials with Distributed Deep Learning on Summit, Numan Laanait
- Linux Kernel Namespaces, Gerlof Langeveld
Dr. Numan Laanait - Decoding Inverse Problems in Materials with Deep Learning on Summit
Many challenging inverse problems permeate materials science and physics. The latest developments in machine learning promise to offer robust and accurate solutions to some of these age-old problems. Yet, questions of interest in the physical sciences carry far more complexity both computational and conceptual than are addressed by machine learning advances emanating from the tech sector. In this talk, I will report on research aimed at the development of new machine learning models and their deployment on supercomputers to address the scientific needs of materials science and physics. In particular, I will show that distributed deep learning, implemented on Oak Ridge National Lab’s Summit supercomputer (and scaled to 10,000 GPUs) gives promising results in “inverting” electron scattering data into the electron density of materials; an age-old inverse problem that has remained unsolved for nearly 80 years.
Dr. Numan Laanait is a computational and experimental physicist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory. His current research focuses on investigating the organizing principles of correlated systems, in both hard and soft matter, by developing novel computational techniques from the fields of machine learning and high-performance computing. Dr. Laanait joined Oak Ridge National Lab in 2014 as a Eugene P. Wigner Fellow and received a Ph.D. in Condensed Matter Physics from the University of Illinois in 2012. In the past, Dr. Laanait has led the development of open source software packages and the design of instruments at large scale experimental user facilities.
[https://www.olcf.ornl.gov/calendar/centos-dojo/ Register to attend.]
The event is free, but you need to register since access to our venue is security restricted.
We will have two social gatherings - one the evening before the event, and one the evening of the event - where you can rub elbows with the speakers, other attendees, and local industry experts. Details of these events will be coming soon, but please plan your travel accordingly, if you are coming from out of town.
Where To Stay
Oak Ridge (15 min drive to visitor center where the event is):
- Staybridge Suites Knoxville Oak Ridge (~$120 a night)
- Comfort Inn Oak Ridge - Knoxville (~$75 a night)
DoubleTree by Hilton Hotel Oak Ridge - Knoxville (~$115 a night)
West Knox (about 25-30 min drive but closer to food , night life, and things todo)
- Best Western Plus Cedar Bluff Inn (~80 a night)
- Embassy Suites by Hilton Knoxville West (~$190 a night)
- Residence Inn by Marriott Knoxville Cedar Bluff (~$140 a night)
Downtown (pricey but lots to do! 30-45 min drive )
- Hyatt Place Knoxville/Downtown (~150 a night)
- Holiday Inn Knoxville Downtown (~$145 a night)