Efficient k-means on GPUs-Reference-Cited by-同舟云学术

Efficient k-means on GPUs

Published:2018-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Workshop on Data Management on New Hardware
language:
Short-container-title:

Author:

Lutz Clemens¹,Breß Sebastian¹,Rabl Tilmann²,Zeuch Steffen¹,Markl Volker²

Affiliation:

1. DFKI GmbH

2. TU Berlin

Funder

Horizon 2020

Bundesministerium für Bildung und Forschung

Deutsche Forschungsgemeinschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3211922.3211925

Reference34 articles.

1. 2018. Amazon EC2 Pricing. (May 8 2018). https://aws.amazon.com/ec2/pricing/on-demand 2018. Amazon EC2 Pricing. (May 8 2018). https://aws.amazon.com/ec2/pricing/on-demand

2. 2018. Microsoft Azure Pricing. (May 8 2018). https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/ 2018. Microsoft Azure Pricing. (May 8 2018). https://azure.microsoft.com/en-us/pricing/details/virtual-machines/linux/

3. David Arthur and Sergei Vassilvitskii. 2007. k-Means++: The advantages of careful seeding. In ACM-SIAM. 1027--1035. David Arthur and Sergei Vassilvitskii. 2007. k-Means++: The advantages of careful seeding. In ACM-SIAM. 1027--1035.

4. Hong-tao Bai Li-li He Dan-tong Ouyang Zhan-shan Li and He Li. 2009. k-Means on commodity GPUs with CUDA. In WRI CSIE. 651--655. 10.1109/CSIE.2009.491 Hong-tao Bai Li-li He Dan-tong Ouyang Zhan-shan Li and He Li. 2009. k-Means on commodity GPUs with CUDA. In WRI CSIE. 651--655. 10.1109/CSIE.2009.491

5. Sebastian Breß et al. 2017. Generating custom code for efficient query execution on heterogeneous processors. CoRR abs/1709.00700 (2017). Sebastian Breß et al. 2017. Generating custom code for efficient query execution on heterogeneous processors. CoRR abs/1709.00700 (2017).

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Density Peaks Clustering through GPU acceleration;Future Generation Computer Systems;2023-04

2. K-means-G*: Accelerating k-means clustering algorithm utilizing primitive geometric concepts;Information Sciences;2022-12

3. Query Processing on Heterogeneous CPU/GPU Systems;ACM Computing Surveys;2022-01-17

4. Pump Up the Volume;Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data;2020-06-11

5. Parallel K-Means Clustering for Brain Cancer Detection Using Hyperspectral Images;Electronics;2018-10-30