Journal article
Performance Models on QCDOC for Molecular Dynamics with Coulomb Potentials
The international journal of high performance computing applications, v 18(2), pp 183-195
01 Jul 2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We estimate that a novel architecture massively parallel computer, the QCDOC, can integrate molecular dynamics equations for 10 5 particles interacting via long-range forces (including Coulomb) for 1–10 s of simulated time using several weeks of computing time using 8000 or 10,000 processors. This number of atoms is typical for biological molecules. The two main conclusions we reach are as follows. (1) This is an increase of more than one order of magnitude in simulated time over current simulations. (2) The novel architecture, with 24 parallel channels of low latency communication per processor, allows improved long-range communication and an unusual degree of fine-scale parallelism, compared to conventional switch-based architectures. The technical heart of the paper is a detailed analysis of the computing time used in the Ewald method as a function of the required accuracy, the size of the molecular dynamics cell, and the hardware design parameters.
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Details
- Title
- Performance Models on QCDOC for Molecular Dynamics with Coulomb Potentials
- Creators
- Y. Deng - Brookhaven National LaboratoryJ. Glimm - Brookhaven National LaboratoryJ. W. Davenport - Brookhaven National LaboratoryX. Cai - University of Science and Technology of ChinaE. Santos - Virginia Tech
- Publication Details
- The international journal of high performance computing applications, v 18(2), pp 183-195
- Number of pages
- 13
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Engineering
- Web of Science ID
- WOS:000221875100002
- Scopus ID
- 2-s2.0-2942568489
- Other Identifier
- 991022207143404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods