Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring-Reference-Cited by-同舟云学术

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Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring

Published:2023-12 Issue:12 Volume:72 Page:3383-3398
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Choi Jinwoo¹^ORCID,Ha Yeonan¹^ORCID,Lee Jounghoo¹^ORCID,Lee Sangsu¹^ORCID,Lee Jinho²^ORCID,Jang Hanhwi³^ORCID,Kim Youngsok¹^ORCID

Affiliation:

1. Department of Computer Science, Yonsei University, Seoul, South Korea

2. Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

3. Department of Electrical and Computer Engineering, Ajou University, Suwon, South Korea

Funder

National Research Foundation of Korea

Institute of Information and Communications Technology Planning and Evaluation

Yonsei Signature Research Cluster Program

Samsung Advanced Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/10311055/10198513.pdf?arnumber=10198513

Reference32 articles.

1. Multi-DNN accelerators for next-generation AI systems;venieris;Computer,0

2. Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks

3. Prefetching weights for use in a neural network processor;ross,2017

5. MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks

Cited by 1 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. ONE-SA: Enabling Nonlinear Operations in Systolic Arrays For Efficient and Flexible Neural Network Inference;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

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