DocumentCode :
1825773
Title :
Scalable RF propagation modeling on the IBM Blue Gene/L and Cray XT5 supercomputers
Author :
Bauer, David W., Jr. ; Carothers, Christopher D.
Author_Institution :
MITRE Corp., McLean, VA, USA
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
779
Lastpage :
787
Abstract :
We present a performance analysis for a highly accurate, large-scale electromagnetic wave propagation model on two modern supercomputing platforms: the Cray XT5 and the IBM Blue Gene/L. The electromagnetic wave model is used to simulate the physical layer of a large-scale mobile ad-hoc network of radio devices. The model is based on the numerical technique called Transmission Line Matrix, and is implemented in a Time Warp simulation package that employs reverse computation for the rollback mechanism. Using Rensselaer´s Optimistic Simulation System we demonstrate better than real-time, scalable parallel performance for network scenarios containing up to one million mobile radio devices, highly accurate RF propagation and high resolution, large-scale complex terrain.
Keywords :
ad hoc networks; electromagnetic wave propagation; mainframes; mobile radio; parallel machines; time warp simulation; transmission line matrix methods; Cray XT5 supercomputers; IBM Blue Gene/L supercomputers; Rensselaer´s optimistic simulation system; electromagnetic wave propagation model; large-scale complex terrain; mobile ad-hoc network; radio devices; reverse computation; rollback mechanism; scalable RF propagation modeling; time warp simulation package; transmission line matrix; Analytical models; Computational modeling; Electromagnetic modeling; Electromagnetic propagation; Electromagnetic scattering; Large-scale systems; Performance analysis; Radio frequency; Supercomputers; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-5770-0
Type :
conf
DOI :
10.1109/WSC.2009.5429676
Filename :
5429676
Link To Document :
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