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Award Finalist/Winner |
SC Conference - Activity Details
Data Intensive Science : Solving Scientific Unknowns by Solving Storage Problems
Team Members:
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Arun Jagatheesan
(San Diego Supercomputer Center)
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Jiahua He
(San Diego Supercomputer Center)
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Allan Snavely
(San Diego Supercomputer Center)
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Michael Norman
(San Diego Supercomputer Center)
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Eva Hocks
(San Diego Supercomputer Center)
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Jeffrey Bennett
(San Diego Supercomputer Center)
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Larry Diegel
(San Diego Supercomputer Center)
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Maya Sedova
(San Diego Supercomputer Center)
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Sandeep Gupta
(San Diego Supercomputer Center)
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Mahidhar Tatineni
(San Diego Supercomputer Center)
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Steven Swanson
(University of California, San Diego)
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Peter Nugent
(Lawrence Berkeley National Laboratory)
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Janet Jacobsen
(Lawrence Berkeley National Laboratory)
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Lonnie Heidtke
(Instrumental Inc)
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Thomas Hutton
(San Diego Supercomputer Center)
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Challenges Session
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Tuesday, 11:14AM - 11:36AM
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Room PB251
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Abstract:
We want to promote data intensive science by alleviating problems faced by our scientific user community with storage latency. We demonstrate how we could achieve scientific successes by mitigating the storage latency problem through a combination of changes in hardware and storage system architecture.
We perform several experiments on our storage infrastructure test bed consisting of 4 TB of flash disks and 40 TB of disk storage, in a system called “SDSC DASH”. We use real-world scientific applications in our experiments to show how existing applications could benefit from our proposed new technologies. Our experiments on DASH would guide our scientific community in design, deployment and use of data intensive scientific applications. In our final report, we will contribute to the best practices for effective use of new storage technologies and provide techniques such as memory scalability and memory scheduling that can be used with these new technologies.
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