BlueDBM: An Appliance for Big Data Analytics

Complex data queries, because of their need for random accesses, have proven to be slow unless all the data can be accommodated in DRAM. There are many domains, such as genomics, geological data and daily twitter feeds where the datasets of interest are 5TB to 20 TB. For such a dataset, one would ne...

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Bibliographic Details
Main Authors: Jun, SangWoo (Contributor), Liu, Ming Gang (Contributor), Lee, Sungjin (Contributor), Hicks, Jamey (Author), Ankcorn, John (Author), King, Myron Decker (Author), Xu, Shuotao (Contributor), Arvind, Arvind (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2015-07-16T12:19:12Z.
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