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1
November 2013
SC '13: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 6, Downloads (12 Months): 56, Downloads (Overall): 527
Full text available:
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We describe a storage system that removes I/O bottlenecks to achieve more than one million IOPS based on a userspace file abstraction for arrays of commodity SSDs. The file abstraction refactors I/O scheduling and placement for extreme parallelism and non-uniform memory and I/O. The system includes a set-associative, parallel page ...
Keywords:
millions of IOPS, data-intensive computing, solid-state storage devices, low cost, page cache optimization
2
Randal Burns,
Kunal Lillaney,
Daniel R. Berger,
Logan Grosenick,
Karl Deisseroth,
R. Clay Reid,
William Gray Roncal,
Priya Manavalan,
Davi D. Bock,
Narayanan Kasthuri,
Michael Kazhdan,
Stephen J. Smith,
Dean Kleissas,
Eric Perlman,
Kwanghun Chung,
Nicholas C. Weiler,
Jeff Lichtman,
Alexander S. Szalay,
Joshua T. Vogelstein,
R. Jacob Vogelstein
July 2013
SSDBM: Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4, Downloads (12 Months): 41, Downloads (Overall): 250
Full text available:
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We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for time-series and multi-channel data as well. The system was designed primarily for workloads that build connectomes ---neural connectivity maps of the brain---using the parallel ...
Keywords:
connectomics, data-intensive computing
3
November 2012
SC '12: Proceedings of the 2012 International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher: IEEE Computer Society
We present a query processing framework for the efficient evaluation of spatial filters on large numerical simulation datasets stored in a data-intensive cluster. Previously, filtering of large numerical simulations stored in scientific databases has been impractical owing to the immense data requirements. Rather, filtering is done during simulation or by ...
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