ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design

Machine learning is a prevalent approach to tame the complexity of design space exploration for domain-specific architectures. Using ML for design space exploration poses challenges. First, it's not straightforward to identify the suitable algorithm from an increasing pool of ML methods. Second...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Krishnan, Srivatsan, Yazdanbaksh, Amir, Shvetank Prakash, Jabbour, Jason, Uchendu, Ikechukwu, Ghosh, Susobhan, Boroujerdian, Behzad, Richins, Daniel, Tripathy, Devashree, Faust, Aleksandra, Reddi, Vijay Janapa
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Bayesian analysis Computer simulation Control systems design Data collection Flight simulators Machine learning Open source software Reproducibility Search algorithms Space exploration
Online-Zugang:	Volltext
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