Accelerating Veins Simulations by Utilizing Task Parallelism on a HPC Cluster Without Introducing Major Inaccuracies

Fritscher M, Dengler G, Bleibaum C, Niebisch M, German R (2022)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Pages Range: 1-6

Event location: Porto

DOI: 10.1109/CSNDSP54353.2022.9907963

Abstract

The evaluation of large-scale vehicular networks has proven difficult. The researcher has to either do a lot of experiments, reduce simulation accuracy or endure simulation runtimes prohibiting a reasonable investigation. We present a framework that allows preserving simulation accuracy while maintaining reasonable simulation times by cutting the to-be-investigated area into individual tiles. Instead of running on a single CPU core we are able to run the simulation on hundreds of HPC servers in parallel. This yields a speedup of several orders of magnitude, allowing the simulation of entire cities. We validate our approach by investigating different access-point distributions for the city of Ingolstadt.

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APA:

Fritscher, M., Dengler, G., Bleibaum, C., Niebisch, M., & German, R. (2022). Accelerating Veins Simulations by Utilizing Task Parallelism on a HPC Cluster Without Introducing Major Inaccuracies. In Proceedings of the 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) (pp. 1-6). Porto, PT.

MLA:

Fritscher, Markus, et al. "Accelerating Veins Simulations by Utilizing Task Parallelism on a HPC Cluster Without Introducing Major Inaccuracies." Proceedings of the 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto 2022. 1-6.

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