2 papers
cs.AI2026
BEHAVE: Functional Behavior Modeling Enables Self-Improving Agents for Hardware Design and Verification
Yuheng Wu, Berk Gokmen, Sujeeth Jinesh +5
Developing agents for hardware design and verification requires reliable correctness feedback. As a hardware specification may permit correct implementations with different latenci…
cs.DC2024
Training Through Failure: Effects of Data Consistency in Parallel Machine Learning Training
Ray Cao, Sherry Luo, Steve Gan +1
In this study, we explore the impact of relaxing data consistency in parallel machine learning training during a failure using various parameter server configurations. Our failure…