FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation-Reference-Cited by-同舟云学术

FuseME: Distributed Matrix Computation Engine based on Cuboid-based Fused Operator and Plan Generation

Published:2022-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Management of Data
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Author:

Han Donghyoung¹,Lee Jongwuk²,Kim Min-Soo¹

Affiliation:

1. Korea Advanced Institute of Science and Technology, Daejeon, South Korea

2. Sungkyunkwan University, Suwon, South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)

MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center)

National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT)

Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3514221.3517895

Reference41 articles.

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2. A view of the parallel computing landscape

3. On optimizing machine learning workloads via kernel fusion

4. P. Baldi . 2012 . Autoencoders, unsupervised learning, and deep architectures . In ICML workshop on unsupervised and transfer learning. JMLR Workshop and Conference Proceedings, 37--49 . P. Baldi. 2012. Autoencoders, unsupervised learning, and deep architectures. In ICML workshop on unsupervised and transfer learning. JMLR Workshop and Conference Proceedings, 37--49.

5. SIAM review;Bezanson J.,2017

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