On How to Improve FPGA-Based Systems Design Productivity via SDAccel. - Giulia Guidi; Enrico Reggiani; Lorenzo Di Tucci; Gianluca Durelli; Michaela Blott; Marco D. Santambrogio (IPDPS Workshops, 2016)

From exaflop to exaflow. - Tobias Becker; Pavel Burovskiy; Anna Maria Nestorov; Hristina Palikareva; Enrico Reggiani; Georgi Gaydadjiev (DATE, 2017)

GPU-based computation for brain spatio-temporal networks definition. - Andrea Purgato; Enrico Reggiani; Eleonora D'Arnese; Tanya Y. Berger-Wolf; Marco Grimaldi; Gianluca Durelli; Marco D. Santambrogio (EMBC, 2017)

A Scalable Dataflow Implementation of Curran's Approximation Algorithm. - Anna Maria Nestorov; Enrico Reggiani; Hristina Palikareva; Pavel Burovskiy; Tobias Becker; Marco D. Santambrogio (IPDPS Workshops, 2017)

Pearson Correlation Coefficient Acceleration for Modeling and Mapping of Neural Interconnections. - Enrico Reggiani; Eleonora D'Arnese; Andrea Purgato; Marco D. Santambrogio (IPDPS Workshops, 2017)

An FPGA-Based Acceleration Methodology and Performance Model for Iterative Stencils. - Enrico Reggiani; Giuseppe Natale; Carlo Moroni; Marco D. Santambrogio (IPDPS Workshops, 2018)

A Case Study for an Accelerated DCNN on FPGA-Based Embedded Distributed System. - Anna Maria Nestorov; Alberto Scolari; Enrico Reggiani; Luca Stornaiuolo; Marco D. Santambrogio (IPDPS Workshops, 2019)

Pareto Optimal Design Space Exploration for Accelerated CNN on FPGA. - Enrico Reggiani; Marco Rabozzi; Anna Maria Nestorov; Alberto Scolari; Luca Stornaiuolo; Marco D. Santambrogio (IPDPS Workshops, 2019)

Performance Portable FPGA Design. - Nils Voss; Tobias Becker; Simon Tilbury; Georgi Gaydadjiev; Oskar Mencer; Anna Maria Nestorov; Enrico Reggiani; Wayne Luk (FPGA, 2020)

Enhancing the Scalability of Multi-FPGA Stencil Computations via Highly Optimized HDL Components. - Enrico Reggiani; Emanuele Del Sozzo; Davide Conficconi; Giuseppe Natale; Carlo Moroni; Marco D. Santambrogio (ACM Trans. Reconfigurable Technol. Syst., 2021)

BiSon-e: a lightweight and high-performance accelerator for narrow integer linear algebra computing on the edge. - Enrico Reggiani; Cristóbal Ramírez Lazo; Roger Figueras Bagué; Adrián Cristal; Mauro Olivieri; Osman Sabri Unsal (ASPLOS, 2022)

DVINO: A RISC-V Vector Processor Implemented in 65nm Technology. - Guillem Cabo; Gerard Candón; Xavier Carril; Max Doblas; Marc Domínguez; Alberto González 004; César Hernández; Víctor Jiménez; Vatistas Kostalampros; Rubén Langarita; Neiel Leyva; Guillem López-Paradís; et al. (DCIS, 2022)

Adaptable Register File Organization for Vector Processors. - Cristóbal Ramírez Lazo; Enrico Reggiani; Carlos Rojas Morales; Roger Figueras Bagué; Luis A. Villa Vargas; Marco Antonio Ramírez Salinas; Mateo Valero Cortés; Osman Sabri Unsal; Adrián Cristal (HPCA, 2022)

Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. - Enrico Reggiani; Renzo Andri; Lukas Cavigelli (DAC, 2023)

Sargantana: An Academic SoC RISC-V Processor in 22nm FDSOI Technology. - Max Doblas; Gerard Candón; Xavier Carril; Marc Domínguez; Enric Erra; Alberto González 004; César Hernández; Víctor Jiménez; Vatistas Kostalampros; Rubén Langarita; Neiel Leyva; Guillem López-Paradís; et al. (DCIS, 2023)

Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. - Enrico Reggiani; Alessandro Pappalardo; Max Doblas; Miquel Moretó; Mauro Olivieri; Osman Sabri Unsal; Adrián Cristal (HPCA, 2023)

Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications. - Francesco Minervini; Oscar Palomar; Osman S. Unsal; Enrico Reggiani; Josue V. Quiroga; Joan Marimon; Carlos Rojas; Roger Figueras; Abraham Ruiz; Alberto González 004; Jonnatan Mendoza; Iván Vargas; et al. (ACM Trans. Archit. Code Optim., 2023)

Efficient hardware acceleration of deep neural networks via arithmetic complexity reduction - Enrico Reggiani (2024)

Mix-GEMM: Extending RISC-V CPUs for Energy-Efficient Mixed-Precision DNN Inference Using Binary Segmentation. - Jordi Fornt; Enrico Reggiani; Pau Fontova-Musté; Narcís Rodas; Alessandro Pappalardo; Osman Sabri Unsal; Adrián Cristal Kestelman; Josep Altet; Francesc Moll; Jaume Abella 001 (IEEE Trans. Computers, 2025)

Empowering Vector Architectures for ML: The CAMP Architecture for Matrix Multiplication. - Mohammadreza Esmali Nojehdeh; Hossein Mokhtarnia; Julian Pavon Rivera; Narcis Rodas Quiroga; Roger Figueras Bagué; Enrico Reggiani; Miquel Moretó; Osman S. Unsal; Adrián Cristal; Eduard Ayguadé (CoRR, 2025)