sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Enterprise: Breadth-First Graph Traversal on GPUs

SESSION: Graph Algorithms and Benchmarks


EVENT TAG(S): Performance, Graphs, Data-Intensive Computing, Algorithms

TIME: 2:00PM - 2:30PM

SESSION CHAIR(S): Umit Catalyurek

AUTHOR(S):Hang Liu, H. Howie Huang



The Breadth-First Search (BFS) algorithm serves as the foundation for many big data applications and analytics workloads. While Graphics Processing Unit (GPU) offers massive parallelism, achieving high-performance BFS on GPUs entails efficient scheduling of a large number of GPU threads and effective utilization of GPU memory hierarchy. In this paper, we present a new BFS system, Enterprise, which utilizes three novel techniques to eliminate the performance bottlenecks: (1) streamlined GPU threads scheduling; (2) GPU workload balancing; and (3) GPU based BFS direction optimization. Enterprise achieves up to 76 billion traversed edges per second (TEPS) on a single NVIDIA Kepler K40, and up to 122 billion TEPS on two GPUs that ranks No. 45 in the Graph 500 on November 2014. Enterprise is also very energy-efficient as No. 1 in the GreenGraph 500 (small data category), delivering 446 million TEPS per watt.

Chair/Author Details:

Umit Catalyurek (Chair) - Ohio State University|

Hang Liu - George Washington University

H. Howie Huang - George Washington University

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society