SC12 Home > SC12 Schedule > SC12 Presentation - Evaluating Asynchrony in Gibraltar RAIDs GPU Reed-Solomon Coding Library

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

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