Daniela Sanchez Lopera

According to our database, Daniela Sanchez Lopera authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging Large Language Models for the Automated Documentation of Hardware Designs.

Saruni Fernando, Robert Kunzelmann, Daniela Sanchez Lopera, Jad Al Halabi, Wolfgang Ecker

Proceedings of the 13th Mediterranean Conference on Embedded Computing, 2024

Fake Timer: An Engine for Accurate Timing Estimation in Register Transfer Level Designs.

Daniela Sanchez Lopera, Robert Kunzelmann, Endri Kaja, Wolfgang Ecker

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

An Automated Exhaustive Fault Analysis Technique guided by Processor Formal Verification Methods.

Endri Kaja, Nicolas Gerlin, Bihan Zhao, Daniela Sanchez Lopera, Jad Al Halabi, Azam Sher Khan, Sebastian Prebeck, Dominik Stoffel, Wolfgang Kunz, Wolfgang Ecker

Proceedings of the 25th International Symposium on Quality Electronic Design, 2024

2023

Using Graph Neural Networks for Timing Estimations of RTL Intermediate Representations.

Daniela Sanchez Lopera, Ishwor Subedi, Wolfgang Ecker

Proceedings of the 5th ACM/IEEE Workshop on Machine Learning for CAD, 2023

MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.

Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the IEEE International Conference on Acoustics, 2023

Special Session: Machine Learning for Embedded System Design.

Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2022

Early RTL delay prediction using neural networks.

Daniela Sanchez Lopera, Lorenzo Servadei, Sebastian Siegfried Prebeck, Wolfgang Ecker

Microprocess. Microsystems, October, 2022

Industrial Experience with Open-Source EDA Tools.

Christian Lück, Daniela Sanchez Lopera, Sven Wenzek, Wolfgang Ecker

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

Applying GNNs to Timing Estimation at RTL.

Daniela Sanchez Lopera, Wolfgang Ecker

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar.

Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Aspect-Oriented Design Automation with Model Transformation.

Zhao Han, Deyan Wang, Gabriel Rutsch, Bowen Li, Sebastian Siegfried Prebeck, Daniela Sanchez Lopera, Keerthikumara Devarajegowda, Wolfgang Ecker

Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

Transformative Hardware Design Following the Model-Driven Architecture Vision.

Zhao Han, Gabriel Rutsch, Deyan Wang, Bowen Li, Sebastian Siegfried Prebeck, Daniela Sanchez Lopera, Keerthikumara Devarajegowda, Wolfgang Ecker

Proceedings of the VLSI-SoC: Technology Advancement on SoC Design, 2021

RTL Delay Prediction Using Neural Networks.

Daniela Sanchez Lopera, Lorenzo Servadei, Vishwa Priyanka Kasi, Sebastian Siegfried Prebeck, Wolfgang Ecker

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021

A Survey of Graph Neural Networks for Electronic Design Automation.

Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

2020

SoC Design Automation with ML - It's Time for Research.

Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020