Biophysical Society Bulletin | November 2019
Biophysical Society Thematic Meeting
Biophysics at the Dawn of Exascale Computers
Hamburg, Germany | May 12–15, 2020
ORGANIZING COMMITTEE Rommie Amaro, University of California , San Diego, USA Christophe Chipot , CNRS, France Rosana Collepardo , Cavendish Laboratory, Cambridge Petra Fromme , Arizona State University, USA Raimund Fromme , Arizona State University, USA Daisuke Kihara , Purdue University, USA Arwen Pearson , University of Hamburg, Germany Alberto Perez , University of Florida, USA Abhishek Singharoy , Arizona State University, USA Gregory Voth , University of Chicago, USA SPEAKERS Ivet Bahar , University of Pittsburg, USA Oliver Beckstein , Arizona State University, USA Charles L. Brooks III , University of Michigan, USA Michael Brown , University of Arizona, USA Elisa Fadda , Maynooth University, Ireland Michael Feig , Michigan State University, USA Monika Fuxreiter , University of Debrecen, Hungary Helmut Grubmüller , Max Planck Institute, Germany JC Gumbart , Georgia Tech, USA
Molecular biophysics over the next decade will be dominated by three tech- nologies - electron microscopy and tomography, X-ray lasers, and machine learning. Taking us a step closer towards capturing bimolecular assemblies in action these technologies together with molecular simulations are delivering not only static structures, but movies of cellular functions. One common denominator to this remarkable progress is the advent of the graphics processor unit (GPU), and compute-intensive resources over the past decade. Already leveraging parallel capabilities, areas of diffraction data and single-particle image processing, hybrid-modeling, molecular dynamics and free-energy simulations, and drug design and discovery are frontrunners in leveraging the prowess of exascale computing. Fortuitously overlapping with the inception of the exascale era, this meeting will prepare the Biophysics community to start advancing the development and implementation of computational algorithms towards the best use of the exascale computing resources.
Gerhard Hummer , Max Planck Institute, Germany Syma Khalid , University of Southampton, England Zaida Luthey-Schulten , University of Illinois at Urbana-Champaign, USA AdrianMulholland , University of Bristol, England Frank Noé , Universität Berlin, Germany Ruth Nussinov , National Cancer Institute, USA José Onuchic , Rice University, USA Modesto Orozco , IRB-Barcelona, Spain Abbas Ourmarzd , University of Wisconsin-Milwaukee, USA Banu Ozkan , Arizona State University, USA Sarah Rauscher , University of Toronto, Canada Nathalie Reuter , University of Bergen, Norway Karissa Sanbonmatsu , Los Alamos National Laboratory, USA Chaok Seok , Seoul National University, South Korea Yuji Sugita , Riken, Japan Emad Tajkhorshid , University of Illinois at Urbana-Champaign, USA Florence Tama , Nagoya University, Japan Peter Tieleman , University of Calgary, Canada RebeccaWade , Heidelberg Institute for Theoretical Studies, Germany Daniel Zuckerman , Oregon Health and Science University, USA
Abstract Submission Deadline: January 20, 2020
Early Registration Deadline: February 7, 2020
For more information, visit www.biophysics.org/2020Hamburg
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