Abstract
Molecular dynamics simulations of emergent phenomena are often computationally demanding because of the broad range of length and time scales that must be covered, ranging from the individual particles, out to where the collective behavior is expressed; the fact that simulations of this type are often subject to unpredictable outcomes is a further complication. The computations re- quired for these studies benefit substantially from massively parallel GPU-based implementation, with even a single GPU typically providing an order of magnitude performance gain over a conventional CPU. A sampling of recently obtained exploratory results involving atomistic hydrodynamics, granular segregation and self-assembly are discussed, along with key aspects of the methodol- ogy; the rich behavior observed provides a hint of the kinds of phenomena that can be explored, and what might be achieved given adequate resources.
Original language | English |
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Pages (from-to) | 115-119 |
Number of pages | 5 |
Journal | Physics Procedia |
Volume | 68 |
DOIs | |
State | Published - 2015 |
Event | 28th Workshop on Computer Simulation Studies in Condensed Matter Physics, CSP 2015 - Athens, United States Duration: 23 Feb 2015 → 27 Feb 2015 |
Bibliographical note
Publisher Copyright:© 2015 Published by Elsevier B.V.
Keywords
- GPU computation
- atomistic hydrodynamics
- emergent phenomena
- granular segregation
- molecular dynamics simulation
- self-assembly