SC12 Home > SC12 Schedule > SC12 Presentation - Direction-Optimizing Breadth-First Search

SCHEDULE: NOV 10-16, 2012

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Direction-Optimizing Breadth-First Search

SESSION: Breadth First Search

EVENT TYPE: Papers, Best Student Paper Finalists

TIME: 10:30AM - 11:00AM

SESSION CHAIR: Umit Catalyurek

AUTHOR(S):Scott Beamer, Krste Asanović, David Patterson

ROOM:255-EF

ABSTRACT:
Breadth-First Search is an important kernel used by many graph-processing applications. In many of these emerging applications of BFS, such as analyzing social networks, the input graphs are low-diameter and scale-free. We present an efficient breadth-first search algorithm that is advantageous for low-diameter graphs. We adopt a hybrid approach, combining a conventional top-down algorithm along with a novel bottom-up algorithm. The bottom-up algorithm can dramatically reduce the number of edges examined, which in turn accelerates the search as a whole. On a multi-socket server, our hybrid approach demonstrates speedups of 3.3-7.8 on a range of standard synthetic graphs and speedups of 1.4-3.8 on graphs from real social networks compared to a strong baseline. We also show speedups of greater than 2.3 over the state-of-the-art multicore implementation when using the same hardware and input graphs.

Chair/Author Details:

Umit Catalyurek (Chair) - Ohio State University

Scott Beamer - University of California, Berkeley

Krste Asanović - University of California, Berkeley

David Patterson - University of California, Berkeley

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Direction-Optimizing Breadth-First Search

SESSION: Breadth First Search

EVENT TYPE: , Best Student Paper Finalists

TIME: 10:30AM - 11:00AM

SESSION CHAIR: Umit Catalyurek

AUTHOR(S):Scott Beamer, Krste Asanović, David Patterson

ROOM:255-EF

ABSTRACT:
Breadth-First Search is an important kernel used by many graph-processing applications. In many of these emerging applications of BFS, such as analyzing social networks, the input graphs are low-diameter and scale-free. We present an efficient breadth-first search algorithm that is advantageous for low-diameter graphs. We adopt a hybrid approach, combining a conventional top-down algorithm along with a novel bottom-up algorithm. The bottom-up algorithm can dramatically reduce the number of edges examined, which in turn accelerates the search as a whole. On a multi-socket server, our hybrid approach demonstrates speedups of 3.3-7.8 on a range of standard synthetic graphs and speedups of 1.4-3.8 on graphs from real social networks compared to a strong baseline. We also show speedups of greater than 2.3 over the state-of-the-art multicore implementation when using the same hardware and input graphs.

Chair/Author Details:

Umit Catalyurek (Chair) - Ohio State University

Scott Beamer - University of California, Berkeley

Krste Asanović - University of California, Berkeley

David Patterson - University of California, Berkeley

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar