Chiplet-Gym:利用强化学习优化基于 Chiplet 的人工智能加速器设计

IF 3.6 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Computers Pub Date : 2024-09-11 DOI:10.1109/tc.2024.3457740
Kaniz Mishty, Mehdi Sadi
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Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning
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来源期刊
IEEE Transactions on Computers
IEEE Transactions on Computers 工程技术-工程:电子与电气
CiteScore
6.60
自引率
5.40%
发文量
199
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.
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