Abstract | ||
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SciDB is a scalable, computational database management system that uses an array model for data storage. The array data model of SciDB makes it ideally suited for storing and managing large amounts of imaging data. SciDB is designed to support advanced analytics in database, thus reducing the need for extracting data for analysis. It is designed to be massively parallel and can run on commodity hardware in a high performance computing (HPC) environment. In this paper, we present the performance of SciDB using simulated image data. The Dynamic Distributed Dimensional Data Model (D4M) software is used to implement the benchmark on a cluster running the MIT SuperCloud software stack. A peak performance of 2.2M database inserts per second was achieved on a single node of this system. We also show that SciDB and the D4M toolbox provide more efficient ways to access random sub-volumes of massive datasets compared to the traditional approaches of reading volumetric data from individual files. This work describes the D4M and SciDB tools we developed and presents the initial performance results. This performance was achieved by using parallel inserts, a in-database merging of arrays as well as supercomputing techniques, such as distributed arrays and single-program-multiple-data programming. |
Year | DOI | Venue |
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2016 | 10.1109/HPEC.2016.7761617 | 2016 IEEE High Performance Extreme Computing Conference (HPEC) |
Keywords | DocType | Volume |
benchmarking SciDB data import,scalable computational database management system,SciDB array data model,imaging data management,imaging data storage,database advanced analytics,data analysis,commodity hardware,high performance computing environment,HPC systems,dynamic distributed dimensional data model,D4M software,cluster benchmark,MIT SuperCloud software stack,parallel inserts,in-database array merging,supercomputing techniques,distributed arrays,single-program-multiple-data programming | Conference | abs/1609.07545 |
ISSN | ISBN | Citations |
2377-6943 | 978-1-5090-3526-7 | 6 |
PageRank | References | Authors |
0.48 | 5 | 19 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siddharth Samsi | 1 | 201 | 24.09 |
Laura J. Brattain | 2 | 27 | 6.64 |
William Arcand | 3 | 175 | 17.77 |
David Bestor | 4 | 181 | 19.08 |
Bill Bergeron | 5 | 168 | 16.57 |
Chansup Byun | 6 | 180 | 19.21 |
Vijay Gadepally | 7 | 449 | 50.53 |
Michael Houle | 8 | 63 | 10.42 |
Matthew Hubbell | 9 | 192 | 20.93 |
Michael J. Jones | 10 | 11341 | 927.21 |
Anna Klein | 11 | 49 | 10.10 |
Peter Michaleas | 12 | 201 | 20.93 |
Lauren Milechin | 13 | 102 | 16.45 |
Julie Mullen | 14 | 138 | 15.22 |
Andrew Prout | 15 | 182 | 18.78 |
Antonio Rosa | 16 | 170 | 17.67 |
Charles Yee | 17 | 147 | 15.14 |
Jeremy Kepner | 18 | 606 | 61.58 |
Albert Reuther | 19 | 335 | 37.32 |