Enhancing micro-architecture optimization using explainable fuzzy neural networks with multi-fidelity reinforcement learning
Micro-architecture design space exploration (DSE) is essential for the optimization of processor performance. However, existing approaches generally fall short in interpretability, preventing designers from comprehending and fine-tuning decisions. In this article, we develop an Explainable Fuzzy Neu...
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| Autori principali: | , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2026-01-01
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| Serie: | PeerJ Computer Science |
| Soggetti: | |
| Accesso online: | https://peerj.com/articles/cs-3429.pdf |
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