Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. - Fabrizio Ferrandi; Vito Giovanni Castellana; Serena Curzel; Pietro Fezzardi; Michele Fiorito; Marco Lattuada 001; Marco Minutoli; Christian Pilato; Antonino Tumeo (DAC, 2021)

Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Shihao Song; Ismet Dagli; Ankur Limaye; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Vinay Amatya; Joseph B. Manzano; Anup Das 001; Fabrizio Ferrandi; et al. (ICCAD, 2021)

De-specializing an HLS library for Deep Neural Networks: improvements upon hls4ml. - Serena Curzel; Nicolò Ghielmetti; Michele Fiorito; Fabrizio Ferrandi (CoRR, 2021)

MLIR Loop Optimizations for High-Level Synthesis: A Case Study. - Serena Curzel; Sofija Jovic; Michele Fiorito; Antonino Tumeo; Fabrizio Ferrandi (PACT, 2022)

SODA-OPT an MLIR based flow for co-design and high-level synthesis. - Nicolas Bohm Agostini; Serena Curzel; David R. Kaeli; Antonino Tumeo (CF, 2022)

Hardware acceleration of complex machine learning models through modern high-level synthesis. - Serena Curzel; Nicolas Bohm Agostini; Antonino Tumeo; Fabrizio Ferrandi (CF, 2022)

The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. - Nicolas Bohm Agostini; Serena Curzel; Ankur Limaye; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; Antonino Tumeo; Fabrizio Ferrandi (DAC, 2022)

SO(DA)2: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). - Antonino Tumeo; Nicolas Bohm Agostini; Serena Curzel; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Ang Li 006; Joseph B. Manzano (PARMA-DITAM@HiPEAC, 2022)

From High-Level Frameworks to custom Silicon with SODA. - Serena Curzel; Nicolas Bohm Agostini; Reece Neff; Ankur Limaye; Jeff Jun Zhang; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; et al. (HCS, 2022)

An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. - Nicolas Bohm Agostini; Serena Curzel; Vinay Amatya; Cheng Tan 002; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David R. Kaeli; Antonino Tumeo (ICCAD, 2022)

SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. - Nicolas Bohm Agostini; Ankur Limaye; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; Antonino Tumeo; Serena Curzel; Fabrizio Ferrandi (ICCAD, 2022)

Bridging Python to Silicon: The SODA Toolchain. - Nicolas Bohm Agostini; Serena Curzel; Jeff Jun Zhang; Ankur Limaye; Cheng Tan 002; Vinay Amatya; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; David Brooks 001; Gu-Yeon Wei; Antonino Tumeo (IEEE Micro, 2022)

End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. - Serena Curzel; Nicolas Bohm Agostini; Vito Giovanni Castellana; Marco Minutoli; Ankur Limaye; Joseph B. Manzano; Jeff Zhang 001; David Brooks 001; Gu-Yeon Wei; Fabrizio Ferrandi; Antonino Tumeo (IEEE Trans. Computers, 2022)

Modern high-level synthesis: improving productivity with a multi-level approach - Serena Curzel (2022)

Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. - Vito Giovanni Castellana; Nicolas Bohm Agostini; Ankur Limaye; Vinay Amatya; Marco Minutoli; Joseph B. Manzano; Antonino Tumeo; Serena Curzel; Michele Fiorito; Fabrizio Ferrandi (ASP-DAC, 2023)

Exploration of Synthesis Methods from Simulink Models to FPGA for Aerospace Applications. - Serena Curzel; Michele Fiorito; Patricia López Cueva; Tiago Jorge; Thanassis Tsiodras; Fabrizio Ferrandi (CF, 2023)

High-Level Synthesis of the OpenMP runtime to improve the generation of parallel accelerators. - Giovanni Gozzi; Michele Fiorito; Serena Curzel; Fabrizio Ferrandi (CF, 2023)

HERMES: qualification of High pErformance pRogrammable Microprocessor and dEvelopment of Software ecosystem. - Nadia Ibellaatti; Edouard Lepape; Alp Kiliç; Kaya Akyel; Kassem Chouayakh; Fabrizio Ferrandi; Claudio Barone; Serena Curzel; Michele Fiorito; Giovanni Gozzi; Miguel Masmano; Ana Risquez Navarro; et al. (DATE, 2023)

TrueFloat: A Templatized Arithmetic Library for HLS Floating-Point Operators. - Michele Fiorito; Serena Curzel; Fabrizio Ferrandi (SAMOS, 2023)

A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. - Fabrizio Ferrandi; Serena Curzel; Leandro Fiorin; Daniele Ielmini; Cristina Silvano; Francesco Conti 001; Alessio Burrello; Francesco Barchi; Luca Benini; Luciano Lavagno; Teodoro Urso; Enrico Calore; et al. (CoRR, 2023)

Towards Automated Generation of Chiplet-Based Systems Invited Paper. - Ankur Limaye; Claudio Barone; Nicolas Bohm Agostini; Marco Minutoli; Joseph B. Manzano; Vito Giovanni Castellana; Giovanni Gozzi; Michele Fiorito; Serena Curzel; Fabrizio Ferrandi; Antonino Tumeo (ASPDAC, 2024)

A DNN-based Background Segmentation Accelerator for FPGA-equipped satellites. - Michele Fiorito; Serena Curzel; Giovanni Gozzi; Fabrizio Ferrandi (CF (Companion), 2024)

A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. - Christian Pilato; Subhadeep Banik; Jakub Beránek; Fabien Brocheton; Jerónimo Castrillón; Riccardo Cevasco; Radim Cmar; Serena Curzel; Fabrizio Ferrandi; Karl F. A. Friebel; Antonella Galizia; Matteo Grasso; et al. (DATE, 2024)

Pre-scheduling of Affine Loops for HLS Pipelining. - Serena Curzel; Sofija Jovic; Michele Fiorito; Antonino Tumeo; Fabrizio Ferrandi (Euro-Par Workshops (2), 2024)

Etna: MLIR-Based System-Level Design and Optimization for Transparent Application Execution on CPU-FPGA Nodes. - Stephanie Soldavini; Felix Suchert; Serena Curzel; Michele Fiorito; Karl F. A. Friebel; Fabrizio Ferrandi; Radim Cmar; Jerónimo Castrillón; Christian Pilato (FCCM, 2024)

High-Level Synthesis Developments in the Context of European Space Technology Research (Invited Talk). - Fabrizio Ferrandi; Michele Fiorito; Claudio Barone; Giovanni Gozzi; Serena Curzel (PARMA-DITAM, 2024)

Extending High-Level Synthesis with AI/ML Methods. - Nicolas Bohm Agostini; Giovanni Gozzi; Michele Fiorito; Claudio Barone; Serena Curzel; Ankur Limaye; Marco Minutoli; Vito Giovanni Castellana; Joseph B. Manzano; Fabrizio Ferrandi; Antonino Tumeo (ICCAD, 2024)

POSTER: A System-level HW/SW Co-simulation Framework for HLS-generated Accelerators. - Michele Fiorito; Serena Curzel; Fabrizio Ferrandi (CF, 2025)

Multi-Partner Project: Architectures and Design Methodologies to Accelerate AI Workloads. The ICSC Flagship 2 Project. - Cristina Silvano; Fabrizio Ferrandi; Serena Curzel; Daniele Ielmini; Stefania Perri; Fanny Spagnolo; Pasquale Corsonello; Sebastiano Fabio Schifano; Cristian Zambelli; Angelo Garofalo; Francesco Conti 001; Luca Benini (DATE, 2025)

Modeling Cyber Threats In Autonomous Guided Vehicles Using Mean Field Models. - Enrico Barbierato; Serena Curzel; Alice Gatti; Marco Gribaudo; Mauro Iacono (ECMS, 2025)

Custom Floating-Point Computations for the Optimization of ODE Solvers on FPGA. - Serena Curzel; Marco Gribaudo (PARMA-DITAM, 2025)

SPARTA: High-Level Synthesis of Parallel Multi-Threaded Accelerators. - Giovanni Gozzi; Michele Fiorito; Serena Curzel; Claudio Barone; Vito Giovanni Castellana; Marco Minutoli; Antonino Tumeo; Fabrizio Ferrandi (ACM Trans. Reconfigurable Technol. Syst., 2025)

A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. - Cristina Silvano; Daniele Ielmini; Fabrizio Ferrandi; Leandro Fiorin; Serena Curzel; Luca Benini; Francesco Conti 001; Angelo Garofalo; Cristian Zambelli; Enrico Calore; Sebastiano Fabio Schifano; Maurizio Palesi; et al. (ACM Comput. Surv., 2025)