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A scalable synthetic traffic model of Graph500 for computer networks analysis

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10.1002/cpe.4231
 
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hdl:2117/113505

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Fuentes Sáez, Pablo
Benito, Mariano
Vallejo, Enrique
Bosque Orero, José Luis
Beivide Palacio, Ramon
Anghel, Andreea
Rodríguez Herrera, Germán
Gusat, Mitch
Minkenberg, Cyriel
Valero Cortés, MateoMés informacióMés informacióMés informació
Document typeArticle
Defense date2017-12-25
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectMont-Blanc 3 - Mont-Blanc 3, European scalable and power efficient HPC platform based on low-power embedded technology (EC-H2020-671697)
Abstract
The Graph500 benchmark attempts to steer the design of High-Performance Computing systems to maximize the performance under memory-constricted application workloads. A realistic simulation of such benchmarks for architectural research is challenging due to size and detail limitations. By contrast, synthetic traffic workloads constitute one of the least resource-consuming methods to evaluate the performance. In this work, we provide a simulation tool for network architects that need to evaluate the suitability of their interconnect for BigData applications. Our development is a low computation- and memory-demanding synthetic traffic model that emulates the behavior of the Graph500 communications and is publicly available in an open-source network simulator. The characterization of network traffic is inferred from a profile of several executions of the benchmark with different input parameters. We verify the validity of the equations in our model against an execution of the benchmark with a different set of parameters. Furthermore, we identify the impact of the node computation capabilities and network characteristics in the execution time of the model in a Dragonfly network
CitationFuentes, P., Benito, M., Vallejo, E., Bosque, J., Beivide, R., Anghel, A., Rodríguez, G., Gusat, M., Minkenberg, C., Valero, M. A scalable synthetic traffic model of Graph500 for computer networks analysis. "Concurrency and computation. Practice and experience", 25 Desembre 2017, vol. 29, núm. 24, p. 1-15. 
URIhttp://hdl.handle.net/2117/113505
DOI10.1002/cpe.4231
ISSN1532-0626
Publisher versionhttp://onlinelibrary.wiley.com/resolve/doi?DOI=10.1002/cpe.4231
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  • Computer Sciences - Altres [3]
  • Departament d'Arquitectura de Computadors - Articles de revista [1.003]
  • CAP - Grup de Computació d'Altes Prestacions - Articles de revista [380]
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