Abstract
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.
Original language | English (US) |
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Article number | 5601669 |
Pages (from-to) | 40-51 |
Number of pages | 12 |
Journal | Computing in Science and Engineering |
Volume | 14 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2012 |
Keywords
- Component
- graphics processors
- Monte Carlo
- physics
- scientific computing
ASJC Scopus subject areas
- Computer Science(all)
- Engineering(all)