@inproceedings{4150df02c693414684af3d60266031f2,
title = "Dynamic distributed dimensional data model (D4M) database and computation system",
abstract = "A crucial element of large web companies is their ability to collect and analyze massive amounts of data. Tuple store databases are a key enabling technology employed by many of these companies (e.g., Google Big Table and Amazon Dynamo). Tuple stores are highly scalable and run on commodity clusters, but lack interfaces to support efficient development of mathematically based analytics. D4M (Dynamic Distributed Dimensional Data Model) has been developed to provide a mathematically rich interface to tuple stores (and structured query language {"}SQL{"} databases). D4M allows linear algebra to be readily applied to databases. Using D4M, it is possible to create composable analytics with significantly less effort than using traditional approaches. This work describes the D4M technology and its application and performance.",
keywords = "associative array, database, fuzzy algebra, linear algebra, tuple store",
author = "Jeremy Kepner and William Arcand and William Bergeron and Nadya Bliss and Robert Bond and Chansup Byun and Gary Condon and Kenneth Gregson and Matthew Hubbell and Jonathan Kurz and Andrew McCabe and Peter Michaleas and Andrew Prout and Albert Reuther and Antonio Rosa and Charles Yee",
year = "2012",
doi = "10.1109/ICASSP.2012.6289129",
language = "English (US)",
isbn = "9781467300469",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5349--5352",
booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings",
note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",
}