@conference{10902/9298,
year = {2014},
url = {http://hdl.handle.net/10902/9298},
abstract = {Big Data applications have gained importance over the last few years. Such applications focus on the analysis of huge amounts of unstructured information and present a series of differences with traditional High Performance Computing (HPC) applications. For illustrating such dissimilarities, this paper analyzes the behavior of the most scalable version of the Graph500 benchmark when run on a state-of-the-art commodity cluster facility. Our work shows that this new computation paradigm stresses the interconnection subsystem.
In this work, we provide both analytical and empirical characterizations of the Graph500 benchmark, showing that its communication needs bound the achieved performance on 
a cluster facility. Up to our knowledge, our evaluation is the first to consider the impact of message aggregation on the communication overhead and explore a tradeoff that diminishes benchmark execution time, increasing system performance.},
publisher = {IEEE},
publisher = {2014 IEEE/ACM International Symposium on Big Data Computing (BDC)},
title = {Characterizing the Communication Demands of the Graph500 Benchmark on a Commodity Cluster},
author = {Fuentes Saez, Pablo and Bosque Orero, José Luis and Beivide Palacio, Ramón and Valero Cortés, Mateo and Minkenberg, Cyriel},
}