CAFEEN: A Cooperative Approach for Energy-Efficient NoCs With Multiagent Reinforcement Learning

Editor’s notes: This article proposes a reinforcement-learning-based methodology to improve energy-efficiency of Network-on-Chip-based systems. —Partha Pratim Pande, Washington State University, USA

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Publication Details

Journal
IEEE Design and Test
Published
2024-10-02
DOI
https://doi.org/10.1109/mdat.2024.3471989
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42
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article

CAFEEN: A Cooperative Approach for Energy-Efficient NoCs With Multiagent Reinforcement Learning

Kamil Khan, Sudeep Pasricha
2 citations
IEEE Design and Test
Advanced Memory and Neural Computing
0.42
article

CAFEEN: A Cooperative Approach for Energy-Efficient NoCs With Multiagent Reinforcement Learning

Kamil Khan, Sudeep Pasricha
article en
2 citations

Abstract

Editor’s notes: This article proposes a reinforcement-learning-based methodology to improve energy-efficiency of Network-on-Chip-based systems. —Partha Pratim Pande, Washington State University, USA

IEEE Design and TestVol. 42(2)
Colorado State University (US)
Affordable and clean energy
Openalex Percentile: Top 38%
Advanced Memory and Neural Computing
0.42
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CAFEEN: A Cooperative Approach for Energy-Efficient NoCs With Multiagent Reinforcement Learning — Kamil Khan, Sudeep Pasricha · IEEE Design and Test (2024) | TGRS Research Map | TGRS