5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.AR2023
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
Srivatsan Krishnan, Amir Yazdanbaksh, Shvetank Prakash +8
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 challenge…
cs.DC2020★ 5 cited
AI Tax: The Hidden Cost of AI Data Center Applications
Daniel Richins, Dharmisha Doshi, Matthew Blackmore +9
Artificial intelligence and machine learning are experiencing widespread adoption in industry and academia. This has been driven by rapid advances in the applications and accuracy…