Efficient Top-K Query Processing on Massively Parallel Hardware-Reference-Cited by-同舟云学术

Efficient Top-K Query Processing on Massively Parallel Hardware

Published:2018-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Management of Data
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Author:

Shanbhag Anil¹,Pirk Holger²,Madden Samuel¹

Affiliation:

1. Massachusetts Institute of Technology, Boston, MA, USA

2. Imperial College London, London, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3183713.3183735

Reference23 articles.

1. {n. d.}. Arrayfire discussion on top-k. http://bit.ly/2lLuFS1. ({n. d.}). {n. d.}. Arrayfire discussion on top-k. http://bit.ly/2lLuFS1. ({n. d.}).

2. {n. d.}. Issue to add gpu verion of top-k to tensorflow. https://github.com/ tensorflow/tensorflow/issues/5719. ({n. d.}). {n. d.}. Issue to add gpu verion of top-k to tensorflow. https://github.com/ tensorflow/tensorflow/issues/5719. ({n. d.}).

3. Martín Abadi et al. 2016. TensorFlow: A system for large-scale machine learning. In OSDI. Martín Abadi et al. 2016. TensorFlow: A system for large-scale machine learning. In OSDI.

4. Fast k-selection algorithms for graphics processing units

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