期刊
COMPUTING IN SCIENCE & ENGINEERING
卷 14, 期 1, 页码 40-51出版社
IEEE COMPUTER SOC
DOI: 10.1109/MCSE.2010.122
关键词
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资金
- US Department of Energy (DOE) [DOE-DE-FG05-08OR23336]
- US National Science Foundation [0904572, EAR-0530282, DMS-1025392, TG-MCA935030, TG-MCA07S016]
- DOE [DE-AC05-00OR22725]
- Carnegie Institution of Washington
- Office of Advanced Cyberinfrastructure (OAC)
- Direct For Computer & Info Scie & Enginr [0904572] Funding Source: National Science Foundation
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 multiple forms of parallelism, they're ideal candidates for acceleration in the many-core paradigm.
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