SCHEDULE: NOV 10-16, 2012
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Evaluating Asynchrony in Gibraltar RAIDs GPU Reed-Solomon Coding Library
SESSION: Research Poster Reception
EVENT TYPE: Posters and Electronic Posters
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Xin Zhou, Anthony Skjellum, Matthew L. Curry
ROOM:East Entrance
ABSTRACT:
This poster describes the Gibraltar Library, a Reed-Solomon coding library that is part of the Gibraltar software RAID implementation, and recent improvements to its applicability to small coding tasks. GPUs have been well known for performing computations on large pieces of data with high performance, but some workloads are not able to offer enough data to keep the entire GPU occupied.
In this work, we have updated the library to include a scheduler that takes advantage of new GPU features, including multi-kernel launch capability, to improve the performance of several small workloads that cannot individually take advantage of the entire GPU. This poster includes performance data that demonstrates significant improvement in throughput, which can translate directly to improvement in RAID performance for random reads and writes, as well as other non-RAID applications. These improvements will be released at http://www.cis.uab.edu/hpcl/gibraltar.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Xin Zhou - University of Alabama at Birmingham
Anthony Skjellum - University of Alabama at Birmingham
Matthew L. Curry - Sandia National Laboratories
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Evaluating Asynchrony in Gibraltar RAIDs GPU Reed-Solomon Coding Library
SESSION: Research Poster Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):Xin Zhou, Anthony Skjellum, Matthew L. Curry
ROOM:East Entrance
ABSTRACT:
This poster describes the Gibraltar Library, a Reed-Solomon coding library that is part of the Gibraltar software RAID implementation, and recent improvements to its applicability to small coding tasks. GPUs have been well known for performing computations on large pieces of data with high performance, but some workloads are not able to offer enough data to keep the entire GPU occupied.
In this work, we have updated the library to include a scheduler that takes advantage of new GPU features, including multi-kernel launch capability, to improve the performance of several small workloads that cannot individually take advantage of the entire GPU. This poster includes performance data that demonstrates significant improvement in throughput, which can translate directly to improvement in RAID performance for random reads and writes, as well as other non-RAID applications. These improvements will be released at http://www.cis.uab.edu/hpcl/gibraltar.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
Xin Zhou - University of Alabama at Birmingham
Anthony Skjellum - University of Alabama at Birmingham
Matthew L. Curry - Sandia National Laboratories
Click here to download .ics calendar file