BlueDBM: An Appliance for Big Data Analytics

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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Detalhes bibliográficos
Main Authors: Jun, SangWoo, Liu, Ming Gang, Lee, Sungjin, Hicks, Jamey, Ankcorn, John, King, Myron Decker, Xu, Shuotao, Arvind, Arvind
Outros Autores: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formato: Artigo
Idioma:en_US
Publicado em: Association for Computing Machinery (ACM) 2015
Acesso em linha:http://hdl.handle.net/1721.1/97746
https://orcid.org/0000-0002-9737-2366
https://orcid.org/0000-0001-7419-9575
https://orcid.org/0000-0001-9898-2361
https://orcid.org/0000-0003-3332-6288
https://orcid.org/0000-0003-3158-3731

Internet

http://hdl.handle.net/1721.1/97746
https://orcid.org/0000-0002-9737-2366
https://orcid.org/0000-0001-7419-9575
https://orcid.org/0000-0001-9898-2361
https://orcid.org/0000-0003-3332-6288
https://orcid.org/0000-0003-3158-3731

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