SCHEDULE: NOV 10-16, 2012
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MemzNet: Memory-Mapped Zero-copy Network Channel for Moving Large Datasets over 100Gbps Networks
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Mehmet Balman
ROOM:East Entrance
ABSTRACT:
High-bandwidth networks are poised to provide new opportunities in tackling large data challenges in today's scientific applications. However, increasing the bandwidth is not sufficient by itself; we need careful evaluation of future high-bandwidth networks from the applications' perspective. We have experimented with current state-of-the-art data movement tools, and realized that file-centric data transfer protocols do not perform well with managing the transfer of many small files in high-bandwidth networks, even when using parallel streams or concurrent transfers. We require enhancements in current middleware tools to take advantage of future networking frameworks. To improve performance and efficiency, we develop an experimental prototype, called MemzNet: Memory-mapped Zero-copy Network Channel, which uses a block-based data movement method in moving large scientific datasets. We have implemented MemzNet that takes the approach of aggregating files into blocks and providing dynamic data channel management. In this work, we present our initial results in 100Gbps networks.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Mehmet Balman - Lawrence Berkeley National Laboratory
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MemzNet: Memory-Mapped Zero-copy Network Channel for Moving Large Datasets over 100Gbps Networks
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Mehmet Balman
ROOM:East Entrance
ABSTRACT:
High-bandwidth networks are poised to provide new opportunities in tackling large data challenges in today's scientific applications. However, increasing the bandwidth is not sufficient by itself; we need careful evaluation of future high-bandwidth networks from the applications' perspective. We have experimented with current state-of-the-art data movement tools, and realized that file-centric data transfer protocols do not perform well with managing the transfer of many small files in high-bandwidth networks, even when using parallel streams or concurrent transfers. We require enhancements in current middleware tools to take advantage of future networking frameworks. To improve performance and efficiency, we develop an experimental prototype, called MemzNet: Memory-mapped Zero-copy Network Channel, which uses a block-based data movement method in moving large scientific datasets. We have implemented MemzNet that takes the approach of aggregating files into blocks and providing dynamic data channel management. In this work, we present our initial results in 100Gbps networks.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Mehmet Balman - Lawrence Berkeley National Laboratory
Click here to download .ics calendar file