Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lawrence Meadows"'
Autor:
Philip H. S. Torr, Lukas Heinrich, Mingfei Ma, Xiaohui Zhao, Lawrence Meadows, Saeid Naderiparizi, Kyle Cranmer, Lei Shao, Frank Wood, Jialin Liu, Gilles Louppe, Bradley Gram-Hansen, Wahid Bhimji, Atılım Güneş Baydin, Victor W. Lee, Prabhat, Andreas Munk
Publikováno v:
SC
Probabilistic programming languages (PPLs) are receiving widespread attention for performing Bayesian inference in complex generative models. However, applications to science remain limited because of the impracticability of rewriting complex scienti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32d8b40eeb1eaf19fd3fc3d212e4f66
https://doi.org/10.1145/3295500.3356180
https://doi.org/10.1145/3295500.3356180
Autor:
Tuomas Kärnä, Lei Shao, Victor W. Lee, Amrita Mathuriya, Nalini Kumar, Simon J. Pennycook, Kristyn Maschhoff, Peter Mendygral, Lawrence Meadows, Jason Sewall, Diana Moise, Prabhat Prabhat, James Arnemann, Michael F. Ringenburg, Siyu He, Shirley Ho, Deborah Bard
Publikováno v:
Mathuriya, Amrita; Bard, Deborah; Mendygral, Peter; Meadows, Lawrence; Arnemann, James; Shao, Lei; et al.(2018). CosmoFlow: Using Deep Learning to Learn the Universe at Scale. SC18: International Conference for High Performance Computing, Networking, Storage and Analysis. doi: 10.1109/sc.2018.00068. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/6g4145rq
SC
SC
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of the Tensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678927f228e227083ca2700d4c4a075a
https://escholarship.org/uc/item/6g4145rq
https://escholarship.org/uc/item/6g4145rq
Autor:
Lawrence Meadows, Maurice Troute, Michael D`Mello, Taisuke Boku, Ravi Vemuri, K. I. Ishikawa, Yoshinobu Kuramashia
Publikováno v:
Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faf0d0b17a2a39e50e0e7248cd381e25
https://doi.org/10.22323/1.256.0261
https://doi.org/10.22323/1.256.0261
Autor:
Jeongnim Kim, Lawrence Meadows
Exploiting multilevel parallelism deserves consideration even if rejected in the past. OpenMP nesting is turned off by default by most implementations, and is generally consider unsafe by typical users due to concerns of oversubscription and the resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d90f23a5913c8fa106645d2f4e5153
https://doi.org/10.1016/b978-0-12-803819-2.00022-7
https://doi.org/10.1016/b978-0-12-803819-2.00022-7
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