Adaptive FPGA Placement Optimization via Reinforcement Learning-Reference-Cited by-同舟云学术

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Adaptive FPGA Placement Optimization via Reinforcement Learning

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)
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Author:

Murray Kevin E.,Betz Vaughn

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9137089/9142050/09142079.pdf?arnumber=9142079

Cited by 11 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. Respect the Difference: Reinforcement Learning for Heterogeneous FPGA Placement;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

2. VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization;2023 33rd International Conference on Field-Programmable Logic and Applications (FPL);2023-09-04

3. Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing;IEEE Internet of Things Journal;2023-01-15

4. Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization;IEEE Access;2023

5. Survey on FPGA Electronic Design Automation Technology Based on Machine Learning;J ELECTRON INF TECHN;2023

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