Florian Glaser; Giuseppe Tagliavini; Davide Rossi; Germain Haugoug; Qiuting Huang; Luca Benini, Energy-Efficient Hardware-Accelerated Synchronization for Shared-L1-Memory Multiprocessor Clusters, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2021, 32, pp. 633 - 648 [articolo]Open Access
Bruschi, Nazareno; Haugou, Germain; Tagliavini, Giuseppe; Conti, Francesco; Benini, Luca; Rossi, Davide, GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors, in: 2021 IEEE 39th International Conference on Computer Design (ICCD), New York, IEEE, 2021, pp. 409 - 416 (atti di: IEEE International Conference on Computer Design (ICCD), Storrs, CT, USA, 24-27 Oct. 2021) [Contributo in Atti di convegno]Open Access
Valente L.; Rossi D.; Benini L., Hardware-In-The Loop Emulation for Agile Co-Design of Parallel Ultra-Low Power IoT Processors, in: IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, IEEE Computer Society, 2021, 2021-, pp. 1 - 6 (atti di: 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, sgp, 2021) [Contributo in Atti di convegno]
Montagna, Fabio; Tagliavini, Giuseppe; Rossi, Davide; Garofalo, Angelo; Benini, Luca, Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs, in: Architecture of Computing Systems, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12800, pp. 167 - 182 (atti di: 34th International Conference on Architecture of Computing Systems, Online, 7-8 Giugno 2021) [Contributo in Atti di convegno]Open Access
Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2021, 9, pp. 1489 - 1505 [articolo]Open Access
Rossi D.; Conti F.; Eggiman M.; Mach S.; Mauro A.D.; Guermandi M.; Tagliavini G.; Pullini A.; Loi I.; Chen J.; Flamand E.; Benini L., 4.4 A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7μW Cognitive Wake-Up from MRAM-Based State-Retentive Sleep Mode, in: Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Piscataway, NJ, Institute of Electrical and Electronics Engineers Inc., «DIGEST OF TECHNICAL PAPERS - IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE», 2021, 64, pp. 60 - 62 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contributo in Atti di convegno]Open Access
Zolfaghari H.; Rossi D.; Nurmi J., A custom processor for protocol-independent packet parsing, «MICROPROCESSORS AND MICROSYSTEMS», 2020, 72, Article number: 102910, pp. 0 - 11 [articolo]Open Access
Renzini, Francesco; Mucci, Claudio; Rossi, Davide; Franchi Scarselli, Eleonora; Canegallo, Roberto, A Fully Programmable eFPGA-Augmented SoC for Smart Power Applications, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2020, 67, Article number: 8790967, pp. 489 - 501 [articolo]Open Access
Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D., A mixed-precision RISC-V processor for extreme-edge DNN inference, in: Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, IEEE Computer Society, «PROCEEDINGS IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI», 2020, 2020-, pp. 512 - 517 (atti di: 19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020, Cyprus, 2020) [Contributo in Atti di convegno]Open Access
Alfio Di Mauro, Francesco Conti, Pasquale Davide Schiavone, Davide Rossi, Luca Benini, Always-On 674μW@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node, «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS», 2020, 67, Article number: 9158513, pp. 3905 - 3918 [articolo]Open Access
Okuhara, Hayate; Elnaqib, Ahmed; Rossi, Davide; Di Mauro, Alfio; Mayer, Philipp; Palestri, Pierpaolo; Benini, Luca, An Energy-Efficient Low-Voltage Swing Transceiver for mW-Range IoT End-Nodes, in: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Piscataway, NJ, IEEE, 2020, pp. 1 - 5 (atti di: 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Siviglia, 10-21 ottobre 2021) [Contributo in Atti di convegno]Open Access
Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi, Enabling mixed-precision quantized neural networks in extreme-edge devices, in: 17th ACM International Conference on Computing Frontiers 2020, CF 2020 - Proceedings, New York, Association for Computing Machinery, Inc, 2020, pp. 217 - 220 (atti di: 17th ACM International Conference on Computing Frontiers, CF 2020, Catania (Italy), 11 Maggio 2020 - 13 Maggio 2020) [Contributo in Atti di convegno]Open Access
Jie C.; Loi I.; Benini L.; Rossi D., Energy-Efficient Two-level Instruction Cache Design for an Ultra-Low-Power Multi-core Cluster, in: Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 1734 - 1739 (atti di: 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, AlpExpo Congress Centre, fra, 2020) [Contributo in Atti di convegno]
Meloni, Paolo; Loi, Daniela; Deriu, Gianfranco; Carreras, Marco; Conti, Francesco; Capotondi, Alessandro; Rossi, Davide, Exploring NEURAGHE: A Customizable Template for APSoC-based CNN Inference at the Edge, «IEEE EMBEDDED SYSTEMS LETTERS», 2020, 12, pp. 62 - 65 [articolo]Open Access
Hesam Zolfaghari, Walter Cerroni, Hayate Okuhara, Carla Raffaelli, Davide Rossi, Jari Numi, Flexible Software-Defined Packet Processing Using Low-Area Hardware, «IEEE ACCESS», 2020, 8, pp. 98929 - 98945 [articolo]Open Access
