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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kunz, G. Landsiedel, O. Götz, S. Wehrle, K. Gross, J. Naghibi, F. |
| Copyright Year | 2010 |
| Abstract | The simulation models of wireless networks rapidly increase in complexity to accurately model wireless channel characteristics and the properties of advanced transmission technologies. Such detailed models typically lead to a high computational load per simulation event that accumulates to extensive simulation runtimes. Reducing runtimes through parallelization is challenging since it depends on detecting causally independent events that can execute concurrently. Most existing approaches base this detection on lookaheads derived from channel propagation latency or protocol characteristics. In wireless networks, these lookaheads are typically short, causing the potential for parallelization and the achievable speedup to remain small. This paper presents Horizon, which unlocks a substantial portion of a simulation model's workload for parallelization by going beyond the traditional lookahead. We show how to augment discrete events with durations to identify a much larger horizon of independent simulation events and efficiently schedule them on multi-core systems. Our evaluation shows that this approach can significantly cut down the runtime of simulations, in particular for complex and accurate models of wireless networks. |
| Starting Page | 172 |
| Ending Page | 181 |
| File Size | 622451 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424481811 |
| ISSN | 15267539 |
| DOI | 10.1109/MASCOTS.2010.26 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-17 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Runtime Data models Timing Load modeling Analytical models Wireless networks |
| Content Type | Text |
| Resource Type | Article |
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