Federico Nicolás Peccia

According to our database, Federico Nicolás Peccia authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators.

Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Mika Markus Müller, Federico Nicolás Peccia, Felix Thömmes, Jannik Steinmetz, Valentin Biermaier, Adrian Frischknecht, Paul Palomero Bernardo, Oliver Bringmann

ACM Trans. Embed. Comput. Syst., March, 2025

LLM-aided Test Generation for Custom Neural Network Hardware Accelerators.

Federico Nicolás Peccia, Tobias Hald, Oliver Bringmann

Proceedings of the IEEE European Test Symposium, 2025

2024

HAPM - Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices.

Federico Nicolás Peccia, Luciano Ferreyro, Alejandro Furfaro

CoRR, 2024

Embedded Distributed Inference of Deep Neural Networks: A Systematic Review.

Federico Nicolás Peccia, Oliver Bringmann

CoRR, 2024

Iterative Filter Pruning for Concatenation-based CNN Architectures.

Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner

Proceedings of the International Joint Conference on Neural Networks, 2024

Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator.

Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann

Proceedings of the 27th Euromicro Conference on Digital System Design, 2024

DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference.

Federico Nicolás Peccia, Alexander Viehl, Oliver Bringmann

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey.

Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner

Proceedings of the IEEE International Smart Cities Conference, 2023

Characterization of Execution Time Variability in FPGA-Based AI-Accelerators.

Maximilian Kirschner, Federico Nicolás Peccia, Felix Thömmes, Victor Pazmino Betancourt, Oliver Bringmann, Jürgen Becker

Proceedings of the IEEE Intl Conf on Dependable, 2023

Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework.

Federico Nicolás Peccia, Oliver Bringmann

Proceedings of the 2023 Workshop on Compilers, Deployment, and Tooling for Edge AI, 2023