Data Dependency based Parallel Simulation of Wireless networks
2015 (English)In: MSWiM '15 Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Association for Computing Machinery (ACM), 2015, 291-300 p.Conference paper (Refereed)
Simulation of wireless systems is highly complex and can only be efficient if the simulation is executed in parallel. To this end, independent events have to be identified to enable their simultaneous execution. Hence, the number of events identified as independent needs to be maximized in order to increase the level of parallelism. Traditionally, dependencies are determined only by time and location of events: If two events take place on the same simulation entity, they must be simulated in timestamp order. Our approach to overcome this limitation is to also investigate data-dependencies between events. This enables event reordering and parallelization even for events at the same simulation entity. To this end, we design the simulation language PSimLa, which aids this process. In this paper, we discuss the PSimLa design and compiler as well as our data-dependency analysis approach in detail and present case studies of wireless network models, speeded up by a factor of 10 on 12 cores where time-based parallelization only achieves a 1.6x speedup.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2015. 291-300 p.
Data dependencies, Parallel simulation, Static code analysis
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-180298DOI: 10.1145/2811587.2811593ISI: 000380611300037ScopusID: 2-s2.0-84949518280ISBN: 978-145033762-5OAI: oai:DiVA.org:kth-180298DiVA: diva2:892341
ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems 2015
FunderICT - The Next Generation
QC 201602032016-01-102016-01-102016-09-12Bibliographically approved