Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMP. - Andrea Marongiu; Alessandro Capotondi; Giuseppe Tagliavini; Luca Benini (MES, 2013)

Augmenting manycore programmable accelerators with photonic interconnect technology for the high-end embedded computing domain. - Marco Balboni; Marta Ortín-Obón; Alessandro Capotondi; Hervé Tatenguem Fankem; Alberto Ghiribaldi; Luca Ramini; Víctor Viñals; Andrea Marongiu; Davide Bertozzi (NOCS, 2014)

Runtime Support for Multiple Offload-Based Programming Models on Embedded Manycore Accelerators. - Alessandro Capotondi; Germain Haugou; Andrea Marongiu; Luca Benini (COSMIC@CGO, 2015)

PULP: A parallel ultra low power platform for next generation IoT applications. - Davide Rossi; Francesco Conti 001; Andrea Marongiu; Antonio Pullini; Igor Loi; Michael Gautschi; Giuseppe Tagliavini; Alessandro Capotondi; Philippe Flatresse; Luca Benini (Hot Chips Symposium, 2015)

Enabling Scalable and Fine-Grained Nested Parallelism on Embedded Many-cores. - Alessandro Capotondi; Andrea Marongiu; Luca Benini (MCSoC, 2015)

Simplifying Many-Core-Based Heterogeneous SoC Programming With Offload Directives. - Andrea Marongiu; Alessandro Capotondi; Giuseppe Tagliavini; Luca Benini (IEEE Trans. Ind. Informatics, 2015)

On the effectiveness of OpenMP teams for cluster-based many-core accelerators. - Alessandro Capotondi; Andrea Marongiu (HPCS, 2016)

Controlling NUMA effects in embedded manycore applications with lightweight nested parallelism support. - Andrea Marongiu; Alessandro Capotondi; Luca Benini (Parallel Comput., 2016)

Programming models and tools for many-core platforms ; Modelli e strumenti di programmazione parallela per piattaforme many-core. - Alessandro Capotondi (2016)

Enabling zero-copy OpenMP offloading on the PULP many-core accelerator. - Alessandro Capotondi; Andrea Marongiu (SCOPES, 2017)

HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA. - Andreas Kurth; Pirmin Vogel; Alessandro Capotondi; Andrea Marongiu; Luca Benini (CoRR, 2017)

HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems. - Andreas Kurth; Alessandro Capotondi; Pirmin Vogel; Luca Benini; Andrea Marongiu (ANDARE@PACT, 2018)

Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress. - Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Luca Benini (CODES+ISSS, 2018)

Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators. - Alessandro Capotondi; Andrea Marongiu; Luca Benini (IEEE Trans. Emerg. Top. Comput., 2018)

The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores. - Igor Loi; Alessandro Capotondi; Davide Rossi; Andrea Marongiu; Luca Benini (IEEE Trans. Multi Scale Comput. Syst., 2018)

NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. - Paolo Meloni; Alessandro Capotondi; Gianfranco Deriu; Michele Brian; Francesco Conti 001; Davide Rossi; Luigi Raffo; Luca Benini (ACM Trans. Reconfigurable Technol. Syst., 2018)

Mixed-data-model heterogeneous compilation and OpenMP offloading. - Andreas Kurth; Koen Wolters; Björn Forsberg; Alessandro Capotondi; Andrea Marongiu; Tobias Grosser; Luca Benini (CC, 2020)

A Systematic Assessment of Embedded Neural Networks for Object Detection. - Micaela Verucchi; Gianluca Brilli; Davide Sapienza; Mattia Verasani; Marco Arena; Francesco Gatti; Alessandro Capotondi; Roberto Cavicchioli; Marko Bertogna; Marco Solieri (ETFA, 2020)

Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. - Manuele Rusci; Alessandro Capotondi; Luca Benini (MLSys, 2020)

Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. - Manuele Rusci; Marco Fariselli; Alessandro Capotondi; Luca Benini (IoT Streams/ITEM@PKDD/ECML, 2020)

Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. - Leonardo Ravaglia; Manuele Rusci; Alessandro Capotondi; Francesco Conti 001; Lorenzo Pellegrini; Vincenzo Lomonaco; Davide Maltoni; Luca Benini (SiPS, 2020)

Robust navigation with tinyML for autonomous mini-vehicles. - Miguel de Prado; Romain Donze; Alessandro Capotondi; Manuele Rusci; Serge Monnerat; Luca Benini; Nuria Pazos (CoRR, 2020)

Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. - Paolo Meloni; Daniela Loi; Gianfranco Deriu; Marco Carreras; Francesco Conti 001; Alessandro Capotondi; Davide Rossi (IEEE Embed. Syst. Lett., 2020)

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices. - Alessandro Capotondi; Manuele Rusci; Marco Fariselli; Luca Benini (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment. - Gianluca Bellocchi; Alessandro Capotondi; Francesco Conti 001; Andrea Marongiu (DSD, 2021)

Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons. - Daniel Madroñal; Francesca Palumbo; Alessandro Capotondi; Andrea Marongiu (DroneSE/RAPIDO@HiPEAC, 2021)

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. - Miguel de Prado; Manuele Rusci; Romain Donze; Alessandro Capotondi; Serge Monnerat; Luca Benini; Nuria Pazos (ISCAS, 2021)

A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. - Leonardo Ravaglia; Manuele Rusci; Davide Nadalini; Alessandro Capotondi; Francesco Conti 001; Luca Benini (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. - Miguel de Prado; Manuele Rusci; Alessandro Capotondi; Romain Donze; Luca Benini; Nuria Pazos (Sensors, 2021)

An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles. - Andrea Bernardi; Gianluca Brilli; Alessandro Capotondi; Andrea Marongiu; Paolo Burgio (DATE, 2022)

Understanding and Mitigating Memory Interference in FPGA-based HeSoCs. - Gianluca Brilli; Alessandro Capotondi; Paolo Burgio; Andrea Marongiu (DATE, 2022)

ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (CoRR, 2022)

Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (IEEE Big Data, 2023)

Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. - Gianluca Brilli; Giacomo Valente; Alessandro Capotondi; Paolo Burgio; T. Di Masciov; Paolo Valente; Andrea Marongiu (DAC, 2023)

HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. - Luca Valente; Yvan Tortorella; Mattia Sinigaglia; Giuseppe Tagliavini; Alessandro Capotondi; Luca Benini; Davide Rossi (DATE, 2023)

A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (ICIAP (1), 2023)

Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation. - Jia-Cheng Hu; Roberto Cavicchioli; Giulia Berardinelli; Alessandro Capotondi (NL4AI@AI*IA, 2023)

The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs. - Lorenzo Carletti; Gianluca Brilli; Alessandro Capotondi; Paolo Valente; Andrea Marongiu (CoRR, 2023)

ShareBERT: Embeddings Are Capable of Learning Hidden Layers. - Jia-Cheng Hu; Roberto Cavicchioli; Giulia Berardinelli; Alessandro Capotondi (AAAI, 2024)

Learning from Wrong Predictions in Low-Resource Neural Machine Translation. - Jia-Cheng Hu; Roberto Cavicchioli; Giulia Berardinelli; Alessandro Capotondi (LREC/COLING, 2024)

Shifted Window Fourier Transform and Retention for Image Captioning. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (ICONIP (8), 2024)

Invited Paper: On the Granularity of Bandwidth Regulation in FPGA-Based Heterogeneous Systems on Chip. - Gianluca Brilli; Giacomo Valente; Alessandro Capotondi; Tania Di Mascio; Andrea Marongiu (WCET, 2024)

Bidirectional Awareness Induction in Autoregressive Seq2Seq Models. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (CoRR, 2024)

Enabling Fast System-Level Integration and Prototyping of Accelerator-Rich Platforms. - Gianluca Bellocchi; Alessandro Capotondi; Luca Benini; Andrea Marongiu (CF (Companion), 2025)

Enabling the Proxy Computing Paradigm on DPU-based FPGA Acceleration. - Gianluca Brilli; Alessandro Capotondi; Paolo Burgio; Andrea Marongiu (CF, 2025)

Thundershot: an open-source autonomous vehicles research platform for embedded heterogeneous MPSoCs. - Federico Gavioli; Francesco Moretti; Antonio Russo; Alessandro Capotondi; Paolo Burgio (CF (Companion), 2025)

Taking a closer look at memory interference effects in commercial-off-the-shelf multicore SoCs. - Lorenzo Carletti; Andrea Serafini; Gianluca Brilli; Alessandro Capotondi; Alessandro Biasci; Paolo Valente; Andrea Marongiu (J. Syst. Archit., 2025)

Embeddings hidden layers learning for neural network compression. - Jia-Cheng Hu; Roberto Cavicchioli; Alessandro Capotondi (Neural Networks, 2025)

Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-Based Heterogeneous SoCs. - Giacomo Valente; Gianluca Brilli; Tania Di Mascio; Alessandro Capotondi; Paolo Burgio; Paolo Valente; Andrea Marongiu (IEEE Trans. Parallel Distributed Syst., 2025)