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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alam, S.R. Agarwal, P.K. Hampton, S.S. Hong Ong Vetter, J.S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., Oak Ridge, TN (Alam, S.R.; Agarwal, P.K.; Hampton, S.S.; Hong Ong; Vetter, J.S.) |
| Abstract | Processing nodes of the cray XT and IBM blue gene massively parallel processing (MPP) systems are composed of multiple execution units, sharing memory and network subsystems. These multicore processors offer greater computational power, but may be hindered by resource contention. In order to understand and avoid such situations, we investigate the impact of resource contention on three scalable molecular dynamics suites: AMBER (PMEMD module), LAMMPS, and NAMD. The results reveal the factors that can inhibit scaling and performance efficiency on emerging multicore processors. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 730225 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424416936 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2008.4536181 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multicore processing Large-scale systems Parallel processing Biological system modeling Biological systems Atomic measurements Computational modeling Costs Hardware Performance analysis |
| Content Type | Text |
| Resource Type | Article |
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