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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Energy-Efficient Graph Traversal on Integrated CPU-GPU Architecture

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Heng Lin, Jidong Zhai, Wenguang Chen

ROOM:Level 4 - Lobby

ABSTRACT:

Recently, architecture designers tend to integrate CPUs and raphics Processing Units(GPUs) on the same chip to produce energy-efficient designs. On the other hand, graph applications are becoming increasingly important for big data analysis. Among the graph analysis algorithms, Breadth-First Search
(BFS) is the most representative one and also an important building block for other algorithms. Despite previous efforts, it remains an important problem to get optimal performance for BFS on integrated architectures.
In this paper, we propose an adaptive algorithm to atomically find the optimal algorithm on the suitable devices, which can get 1.6X speedup compared with the state-of-the-art algorithms in an energy consumption index, namely TEPS/Watt(Traversed Edges Per Second
every Watt).

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Heng Lin - Tsinghua University

Jidong Zhai - Tsinghua University

Wenguang Chen - Tsinghua University

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