Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kenneth Esler"'
Autor:
Karthik Mukundakrishan, Andrea Rosa, Saurabh Ranjan, Paola Panfili, Fabrizio Cinquini, Alberto Cominelli, Leonardo Patacchini, Kenneth Esler
Publikováno v:
Day 1 Tue, January 24, 2023.
Graphics Processing Units (GPUs) have been successful in providing up to an order of magnitude performance benefit for reservoir simulation; this has been demonstrated for both standalone black-oil and compositional models. To our knowledge however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cce1d5e95190e7f0f4defe6dd26a3db7
https://doi.org/10.2118/212657-ms
https://doi.org/10.2118/212657-ms
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0161496f280cb7fd8ff870592451b9cf
https://doi.org/10.2139/ssrn.4295454
https://doi.org/10.2139/ssrn.4295454
Publikováno v:
Computing in Science & Engineering. 14:40-51
More accurate than mean-field methods and more scalable than quantum chemical methods, continuum quantum Monte Carlo (QMC) is an invaluable tool for predicting the properties of matter from fundamental principles. Because QMC algorithms offer multipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1034c64362095ec7729f2c10cf92b2d1
https://doi.org/10.1109/mcse.2010.122
https://doi.org/10.1109/mcse.2010.122
We present an efficient, robust and fully GPU-accelerated aggregation-based algebraic multigrid preconditioning technique for the solution of large sparse linear systems. These linear systems arise from the discretization of elliptic PDEs. The method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23ff2c8243d1436495cf623813274d58
http://arxiv.org/abs/1403.1649
http://arxiv.org/abs/1403.1649
Autor:
Burkhard Militzer, M. D. Towler, Richard J. Needs, Jeongnim Kim, Ronald E. Cohen, Kenneth Esler
We develop an all-electron quantum Monte Carlo (QMC) method for solids that does not rely on pseudopotentials, and use it to construct a primary ultra-high pressure calibration based the equation of state of cubic boron nitride(c-BN). We compute the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e5e900916b750a453a7e68b4a0e945e
http://arxiv.org/abs/1001.2079
http://arxiv.org/abs/1001.2079
Autor:
Miguel A. Morales, Kenneth Esler, Bryan K. Clark, Luke Shulenburger, Jeongnim Kim, David M. Ceperley, Jeremy McMinis
Publikováno v:
Journal of Physics: Conference Series. 402:012008
With advances in algorithms and growing computing powers, quantum Monte Carlo (QMC) methods have become a leading contender for high accuracy calculations for the electronic structure of realistic systems. The performance gain on recent HPC systems i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f88733a5c668d84b355c2dbaec4544ed
https://doi.org/10.1088/1742-6596/402/1/012008
https://doi.org/10.1088/1742-6596/402/1/012008