Conference Proceedings

Efficient Subgraph Matching Using GPUs

Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi, H Wang (ed.), MA Sharaf (ed.)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | SPRINGER-VERLAG BERLIN | Published : 2014

Abstract

The explosive growth of various social networks such as Facebook, Twitter, and Instagram has brought in new needs for efficient graph algorithms. As a basic graph operation, subgraph matching is the foundation of many of these algorithms. Consequently, the efficiency of subgraph matching is very important and determines the speed of the whole data mining process. The development of multi-core CPUs allows subgraph matching algorithms to process multiple data at a time. However, the number of threads is still limited, which has become a bottleneck of these CPU-based algorithms. A workaround is using clusters of powerful servers, which normally incurs very expensive network transfer overhead. T..

View full abstract