Scalable Linear Algebra on a Relational Database System

@article{Luo2017ScalableLA,
  title={Scalable Linear Algebra on a Relational Database System},
  author={Shangyu Luo and Zekai J. Gao and Michael N. Gubanov and Luis Leopoldo Perez and Chris Jermaine},
  journal={2017 IEEE 33rd International Conference on Data Engineering (ICDE)},
  year={2017},
  pages={523-534}
}
As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. In this paper, we argue that a parallel or distributed database system is actually an excellent platform upon which to build such functionality. Most relational systems already have support for cost-based optimization—which is vital to scaling linear algebra computations—and it is well-known how to make… CONTINUE READING
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