Berkeley, CA; and virtual
Dates: December 13-15, 2021.
This workshop will focus on parallel programming models and algorithms used in or beneficial to our community, as well as recent success stories in codes and methods development for advanced simulations in our field. One key objective of the workshop is to improve and develop the skill-sets of the next-generation of computational chemistry and materials science researchers to make use of the exciting technologies that are now available to us.
Confirmed speakers (in alphabetical order):
- Abhishek Bagusetty, Argonne National laboratory
- Anton Kozhevnikov, CSCS – Swiss National Supercomputing Centre
- Aurora Clark, Washington State University
- Edgar Solomonik, University of Illinois Urbana Champaing
- Edmond Chow, Georgia Institute of Technology
- Edward Hohenstein, SLAC National Accelerator Laboratory
- Edward Valeev, Virginia Tech
- Eric Bylaska, Pacific Northwestern National Laboratory
- Jeff Hammond, NVIDIA Corp
- Jack Deslippe, Lawrence Livermore National Laboratory
- Jim Chelikowsky, University of Texas at Austin
- Joshua A. Anderson, University of Michigan
- Lin Lin, University of California Berkeley
- Lori Burns, Georgia Institute of Technology
- Luigi Genovese, INAC CEA L_Sim
- Marius Cornea , Intel Labs
- Micael J. T. Oliveira, Max Planck Institute for the Structure and Dynamics of Matter
- Paul Kent, Oak Rdige, National laboratory
- Rommie Amaro, University of California San Diego
- Theresa Windus, Iowa State University and the Ames Laboratory
- Victor Yu, Argonne National laboratory
- William Dawson, RIKEN Center for Computational Science
- Xavier Andrade, Lawrence Livermore National Laboratory
- Ye Luo, Argonne National laboratory
Registration is now open and will remain so until November 1st 2021.
Use this link to register!
Participants are encouraged to present a poster, a few selected posters would be invited to present a lighting talk.