Abstract | ||
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Graph processing is increasingly used in knowledge economies and in science, in advanced marketing, social networking, bioinformatics, etc. A number of graph-processing systems, including the GPU-enabled Medusa and Totem, have been developed recently. Understanding their performance is key to system selection, tuning, and improvement. Previous performance evaluation studies have been conducted for CPU-based graph-processing systems, such as Graph and GraphX. Unlike them, the performance of GPU-enabled systems is still not thoroughly evaluated and compared. To address this gap, we propose an empirical method for evaluating GPU-enabled graph-processing systems, which includes new performance metrics and a selection of new datasets and algorithms. By selecting 9 diverse graphs and 3 typical graph-processing algorithms, we conduct a comparative performance study of 3 GPU-enabled systems, Medusa, Totem, and MapGraph. We present the first comprehensive evaluation of GPU-enabled systems with results giving insight into raw processing power, performance breakdown into core components, scalability, and the impact on performance of system-specific optimization techniques and of the GPU generation. We present and discuss many findings that would benefit users and developers interested in GPU acceleration for graph processing. |
Year | DOI | Venue |
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2015 | 10.1109/CCGrid.2015.20 | 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing |
Keywords | Field | DocType |
empirical performance evaluation,GPU-enabled graph-processing systems,knowledge economies,advanced marketing,social networking,bioinformatics,Medusa,Totem,MapGraph,system-specific optimization techniques | Graph,Totem,Algorithm design,Social network,Computer science,CUDA,Electric breakdown,Scalability,Distributed computing | Conference |
ISSN | Citations | PageRank |
2376-4414 | 7 | 0.46 |
References | Authors | |
18 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yong Guo | 1 | 95 | 4.60 |
Ana Lucia Varbanescu | 2 | 520 | 44.83 |
Alexandru Iosup | 3 | 2042 | 125.89 |
Dick H. J. Epema | 4 | 3134 | 180.80 |