A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper
Author:
Affiliation:
1. University of Utah,Dept. of Electrical and Computer Engineering,Salt lake City,USA
2. University of Wisconsin at Madison,Dept. of Electrical and Computer Engineering,Madison,USA
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10473777/10473787/10473960.pdf?arnumber=10473960
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4. OpenTimer v2: A New Parallel Incremental Timing Analysis Engine
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