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of 3
pro vyhledávání: '"Klaus-Dieter Oertel"'
The chapter presents a case study on optimizing the Hexciton kernel of the GPU-HEOM code for parallelism. The HEOM method bridges biology and quantum physics to simulate molecular light-harvesting complexes. The Hexciton kernel computes a commutator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01251a224edf81c28614ced4eb0c29e6
https://doi.org/10.1016/b978-0-12-803819-2.00001-x
https://doi.org/10.1016/b978-0-12-803819-2.00001-x
Autor:
Jefferson Amstutz, Cedric Andreolli, Meenakshi Arunachalam, Gaurav Bansal, Martin Berzins, Paul Besl, Ashraf Bhuiyan, Stephen Blair-Chappell, Leonardo Borges, James P. Briggs, Mikhail Brinskiy, Michal Brylinski, Vlad Calina, James Dinan, Jussi Enkovaara, Rob Farber, Julia Fedorova, Wei P. Feinstein, Evan Felix, James R. Fergusson, Evgeny Fiksman, Indraneil Gokhale, Christiaan Gribble, Diana Guttman, Tom Henderson, John Holmen, Allen H.-L. Huang, Bormin Huang, Alan Humphrey, Juha Jäykkä, Jim Jeffers, Ashish Jha, Bálint Joó, Dhiraj D. Kalamkar, Mahmut Taylan Kandemir, Rahul Khanna, Taylor Kidd, Jeongnim Kim, Michael Klemm, Shuo Li, Yongchao Liu, Belinda Liviero, Mark Lubin, Luke Mason, Zakhar A. Matveev, Lawrence Meadows, John Michalakes, Jarno Mielikainen, Ravi A. Murty, Perri Needham, Chris J. Newburn, Matthias Noack, Enda O'Brien, Klaus-Dieter Oertel, Simon J. Pennycook, Dmitry Prohorov, Narayan Ranganathan, George M. Raskulinec, James Reinders, Bertil Schmidt, Michael Seaton, Edward P. Shellard, Mikhail Smelyanskiy, Paulo Souza, Dan Stanzione, Philippe Thierry, Prashanth Thinakaran, Karthikeyan Vaidyanathan, Sergei Vinogradov, Ross C. Walker, Florian Wende, Freddie Witherden, Praveen Yedlapalli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b26b82ab664a3994be005188c3e9903
https://doi.org/10.1016/b978-0-12-803819-2.09998-5
https://doi.org/10.1016/b978-0-12-803819-2.09998-5
Autor:
Klaus-Dieter Oertel, Klaus Stüben
Publikováno v:
Robust Multi-Grid Methods ISBN: 9783528080976
Robustness is an important requirement for multigrid methods. In Standard multigrid methods, the smoothing process is usually the most crucial component. In particular, the robustness of a multigrid method and that of the underlying smoother are clos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdf895a0694c0616c948e0c55c301d4a
https://doi.org/10.1007/978-3-322-86200-6_17
https://doi.org/10.1007/978-3-322-86200-6_17