Publications en collaboration avec des chercheurs de University of California, San Diego (9)

2024

  1. An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators

    ACM Transactions on Design Automation of Electronic Systems, Vol. 29, Núm. 4

  2. OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education

    Proceedings of the IEEE VLSI Test Symposium

2023

  1. A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route

    ACM Transactions on Design Automation of Electronic Systems, Vol. 29, Núm. 1

2022

  1. From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction

    MLCAD 2022 - Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD

  2. Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms

    MLCAD 2022 - Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD

2021

  1. VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis

    IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

2020

  1. Template-based PDN Synthesis in Floorplan and Placement Using Classifier and CNN Techniques

    Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

2019

  1. INVITED: Toward an open-source digital flow: First learnings from the OpenROAD project

    Proceedings - Design Automation Conference

2015

  1. Unification of Oligopolistic Markets for a Homogeneous Good in the Presence of an Antitrust Commission

    Journal of Industry, Competition and Trade, Vol. 15, Núm. 3, pp. 239-256