PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization-Reference-Cited by-同舟云学术

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization

Published:2024-04-27 Issue: Volume:34 Page:879-896
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2
language:
Short-container-title:

Author:

Li Cong¹^ORCID,Zhou Zhe²^ORCID,Wang Yang³^ORCID,Yang Fan⁴^ORCID,Cao Ting³^ORCID,Yang Mao³^ORCID,Liang Yun¹⁵^ORCID,Sun Guangyu¹⁵^ORCID

Affiliation:

1. School of Integrated Circuits, Peking University, Beijing, China

2. School of Integrated Circuits, School of Computer Science, Peking University, Beijing, China

3. Microsoft Research, Beijing, China

4. Nankai University, Tianjin, China

5. Beijing Advanced Innovation Center for Integrated Circuits, Beijing, China

Funder

NSF China

111 Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3620665.3640376

Reference104 articles.

1. Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467, 2016.

2. A scalable processing-in-memory accelerator for parallel graph processing

3. FAFNIR: Accelerating Sparse Gathering by Using Efficient Near-Memory Intelligent Reduction

4. Hadi Asghari-Moghaddam, Young Hoon Son, Jung Ho Ahn, and Nam Sung Kim. Chameleon: Versatile and practical near-dram acceleration architecture for large memory systems. In 2016 49th annual IEEE/ACM international symposium on Microarchitecture (MICRO), pages 1--13. IEEE, 2016.

5. Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. Layer normalization. arXiv preprint arXiv:1607.06450, 2016.