4 papers
Large Language Models (LLMs) for Electronic Design Automation (EDA)
Kangwei Xu, Denis Schwachhofer, Jason Blocklove +10
With the growing complexity of modern integrated circuits, hardware engineers are required to devote more effort to the full design-to-manufacturing workflow. This workflow involve…
Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties
Denis Schwachhofer, Peter Domanski, Steffen Becker +4
System-Level Test (SLT) has been a part of the test flow for integrated circuits for over a decade and still gains importance. However, no systematic approaches exist for test prog…
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems\
Peter Domanski, Dirk Pflüger, Jochen Rivoir +1
In recent years, the usage of ensemble learning in applications has grown significantly due to increasing computational power allowing the training of large ensembles in reasonable…
Self-Learning Tuning for Post-Silicon Validation
Peter Domanski, Dirk Pflüger, Jochen Rivoir +1
Increasing complexity of modern chips makes design validation more difficult. Existing approaches are not able anymore to cope with the complexity of tasks such as robust performan…