Federico Nicolás Peccia

16 papers A 2B 2C 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators. ACM Trans. Embed. Comput. Syst. 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
2025	B	`conf`	LLM-aided Test Generation for Custom Neural Network Hardware Accelerators. ETS Federico Nicolás Peccia, Tobias Hald, Oliver Bringmann
2025	A	`conf`	Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs. ICCAD Federico Nicolás Peccia, Frederik Haxel, Oliver Bringmann
2025	J	`jnl`	Tensor Program Optimization for the RISC-V Vector Extension Using Probabilistic Programs. CoRR Federico Nicolás Peccia, Frederik Haxel, Oliver Bringmann
2024	J	`jnl`	Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators. CoRR 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
2024	A	`conf`	DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference. DATE Federico Nicolás Peccia, Alexander Viehl, Oliver Bringmann
2024	C	`conf`	Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. DSD Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann
2024	J	`jnl`	Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. CoRR Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann
2024	J	`jnl`	Embedded Distributed Inference of Deep Neural Networks: A Systematic Review. CoRR Federico Nicolás Peccia, Oliver Bringmann
2024	J	`jnl`	HAPM - Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices. CoRR Federico Nicolás Peccia, Luciano Ferreyro, Alejandro Furfaro
2024	B	`conf`	Iterative Filter Pruning for Concatenation-based CNN Architectures. IJCNN Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
2024	J	`jnl`	Iterative Filter Pruning for Concatenation-based CNN Architectures. CoRR Svetlana Pavlitska, Oliver Bagge, Federico Nicolás Peccia, Toghrul Mammadov, J. Marius Zöllner
2023	—	`conf`	Characterization of Execution Time Variability in FPGA-Based AI-Accelerators. DASC/PiCom/CBDCom/CyberSciTech Maximilian Kirschner, Federico Nicolás Peccia, Felix Thömmes, Victor Pazmino Betancourt, Oliver Bringmann, Jürgen Becker
2023	—	`conf`	Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CODAI Federico Nicolás Peccia, Oliver Bringmann
2023	—	`conf`	Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 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
2022	J	`jnl`	Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CoRR Federico Nicolás Peccia, Oliver Bringmann