Serena Curzel

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 26

Top Topics

Gallium Arsenide

Machine Learning

Top Venues

Publications

Fabrizio Ferrandi, Michele Fiorito, Claudio Barone, Giovanni Gozzi, Serena Curzel
High-Level Synthesis Developments in the Context of European Space Technology Research (Invited Talk). PARMA-DITAM (2024)
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, Paulo Silva, Jan Martinovic, Gianluca Palermo, Michele Paolino, Andrea Parodi, Antonio Parodi, Fabio Pintus, Raphael Polig, David Poulet, Francesco Regazzoni, Burkhard Ringlein, Roberto Rocco, Katerina Slaninová, Tom Slooff, Stephanie Soldavini, Felix Suchert, Mattia Tibaldi, Beat Weiss, Christoph Hagleitner
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. CoRR (2024)
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
Towards Automated Generation of Chiplet-Based Systems Invited Paper. ASPDAC (2024)
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, Paulo Silva, Jan Martinovic, Gianluca Palermo, Michele Paolino, Andrea Parodi, Antonio Parodi, Fabio Pintus, Raphael Polig, David Poulet, Francesco Regazzoni, Burkhard Ringlein, Roberto Rocco, Katerina Slaninová, Tom Slooff, Stephanie Soldavini, Felix Suchert, Mattia Tibaldi, Beat Weiss, Christoph Hagleitner
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. DATE (2024)
Michele Fiorito, Serena Curzel, Giovanni Gozzi, Fabrizio Ferrandi
A DNN-based Background Segmentation Accelerator for FPGA-equipped satellites. CF (Companion) (2024)
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, Manuel Muñioz, Vicente Nicolau Gallego, Patricia López Cueva, Jean-noel Letrillard, Franck Wartel
HERMES: qualification of High pErformance pRogrammable Microprocessor and dEvelopment of Software ecosystem. DATE (2023)
Vito Giovanni Castellana, Nicolas Bohm Agostini, Ankur Limaye, Vinay Amatya, Marco Minutoli, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Michele Fiorito, Fabrizio Ferrandi
Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis. ASP-DAC (2023)
Michele Fiorito, Serena Curzel, Fabrizio Ferrandi
TrueFloat: A Templatized Arithmetic Library for HLS Floating-Point Operators. SAMOS (2023)
Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR (2023)
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR (2023)
Giovanni Gozzi, Michele Fiorito, Serena Curzel, Fabrizio Ferrandi
High-Level Synthesis of the OpenMP runtime to improve the generation of parallel accelerators. CF (2023)
Serena Curzel, Michele Fiorito, Patricia López Cueva, Tiago Jorge, Thanassis Tsiodras, Fabrizio Ferrandi
Exploration of Synthesis Methods from Simulink Models to FPGA for Aerospace Applications. CF (2023)
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, Manuel Muñoz, Vicente Nicolau Gallego, Patricia López Cueva, Jean-noel Letrillard, Franck Wartel
HERMES: qualification of High pErformance pRogrammable Microprocessor and dEvelopment of Software ecosystem. CoRR (2023)
Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Fabrizio Ferrandi
The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited. DAC (2022)
Antonino Tumeo, Nicolas Bohm Agostini, Serena Curzel, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Ang Li, Joseph B. Manzano
: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk). PARMA-DITAM@HiPEAC (2022)
Serena Curzel, Sofija Jovic, Michele Fiorito, Antonino Tumeo, Fabrizio Ferrandi
MLIR Loop Optimizations for High-Level Synthesis: A Case Study. PACT (2022)
Serena Curzel, Nicolas Bohm Agostini, Reece Neff, Ankur Limaye, Jeff Jun Zhang, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
From High-Level Frameworks to custom Silicon with SODA. HCS (2022)
Nicolas Bohm Agostini, Serena Curzel, Vinay Amatya, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David R. Kaeli, Antonino Tumeo
An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration. ICCAD (2022)
Nicolas Bohm Agostini, Serena Curzel, Jeff Jun Zhang, Ankur Limaye, Cheng Tan, Vinay Amatya, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, David Brooks, Gu-Yeon Wei, Antonino Tumeo
Bridging Python to Silicon: The SODA Toolchain. IEEE Micro 42 (5) (2022)
Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Antonino Tumeo, Serena Curzel, Fabrizio Ferrandi
SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon. ICCAD (2022)
Serena Curzel, Nicolas Bohm Agostini, Vito Giovanni Castellana, Marco Minutoli, Ankur Limaye, Joseph B. Manzano, Jeff Zhang, David Brooks, Gu-Yeon Wei, Fabrizio Ferrandi, Antonino Tumeo
End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators. IEEE Trans. Computers 71 (12) (2022)
Nicolas Bohm Agostini, Serena Curzel, David R. Kaeli, Antonino Tumeo
SODA-OPT an MLIR based flow for co-design and high-level synthesis. CF (2022)
Serena Curzel, Nicolas Bohm Agostini, Antonino Tumeo, Fabrizio Ferrandi
Hardware acceleration of complex machine learning models through modern high-level synthesis. CF (2022)
Serena Curzel, Nicolas Bohm Agostini, Shihao Song, Ismet Dagli, Ankur Limaye, Cheng Tan, Marco Minutoli, Vito Giovanni Castellana, Vinay Amatya, Joseph B. Manzano, Anup Das, Fabrizio Ferrandi, Antonino Tumeo
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators. ICCAD (2021)
Fabrizio Ferrandi, Vito Giovanni Castellana, Serena Curzel, Pietro Fezzardi, Michele Fiorito, Marco Lattuada, Marco Minutoli, Christian Pilato, Antonino Tumeo
Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications. DAC (2021)
Serena Curzel, Nicolò Ghielmetti, Michele Fiorito, Fabrizio Ferrandi
De-specializing an HLS library for Deep Neural Networks: improvements upon hls4ml. CoRR (2021)