DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics-Reference-Cited by-同舟云学术

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DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics

Published:2024-06-29 Issue: Volume: Page:1246-1261
ISSN:
Container-title:2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)
language:
Short-container-title:

Author:

Kim Yoonsung¹,Oh Changhun¹,Hwang Jinwoo¹,Kim Wonung¹,Oh Seongryong¹,Lee Yubin¹,Sharma Hardik²,Yazdanbakhsh Amir³,Park Jongse¹

Affiliation:

1. KAIST

2. Meta

3. Google DeepMind

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609566/10609567/10609643.pdf?arnumber=10609643

Reference104 articles.

1. Xilinx first 7 nm device: Versal ai core (vc1902);Ahmad;in HotChips,2019

2. Rainbow Memory: Continual Learning with a Memory of Diverse Samples

3. Oakestra: A lightweight hierarchical orchestration framework for edge computing;Bartolomeo;in USENIX ATC,2023

4. NeuOS: A Latency-Predictable MultiDimensional optimization framework for DNN-driven autonomous systems;Bateni;in USENIX ATC,2020

5. Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers;Bhardwaj;in NSDI,2022

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