Ingolfsson T.M.; Cossettini A.; Wang X.; Tabanelli E.; Tagliavini G.; Ryvlin P.; Benini L.; Benatti S., Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices, in: 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS), Institute of Electrical and Electronics Engineers Inc., 2021, pp. 01 - 04 (atti di: 2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, Berlin, Germany, 07-09 October 2021) [Contribution to conference proceedings]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 [Scientific article]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., 2021, 64, pp. 60 - 62 (atti di: 2021 IEEE International Solid-State Circuits Conference, ISSCC 2021, usa, 2021) [Contribution to conference proceedings]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, 2020, 2020-, pp. 512 - 517 (atti di: 19th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2020, Cyprus, 2020) [Contribution to conference proceedings]Open Access
Borghesi, Andrea; Tagliavini, Giuseppe; Lombardi, Michele; Benini, Luca; Milano, Michela, Combining learning and optimization for transprecision computing, in: Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020, pp. 10 - 18 (atti di: 17th ACM International Conference on Computing Frontiers, Catania, Italy, 1-10 June 2020) [Contribution to conference proceedings]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) [Contribution to conference proceedings]Open Access
Tagliavini, Giuseppe; Marongiu, Andrea; Benini, Luca, FlexFloat: A Software Library for Transprecision Computing, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2020, 39, pp. 145 - 156 [Scientific article]Open Access
Prasad, Rohit; Das, Satyajit; Martin, Kevin J. M.; Tagliavini, Giuseppe; Coussy, Philippe; Benini, Luca; Rossi, Davide, TRANSPIRE: An energy-efficient TRANSprecision floating-point Programmable archItectuRE, in: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020, pp. 1067 - 1072 (atti di: 23rd Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Grenoble, France, 9-13 March 2020) [Contribution to conference proceedings]Open Access
Garofalo, Angelo; Tagliavini, Giuseppe; Conti, Francesco; Rossi, Davide; Benini, Luca, XpulpNN: Accelerating Quantized Neural Networks on RISC-V Processors Through ISA Extensions, in: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Institute of Electrical and Electronics Engineers Inc. (IEEE), 2020, pp. 186 - 191 (atti di: Design, Automation and Test in Europe Conference and Exhibition, DATE 2020, Grenoble, France, 9-13 March 2020) [Contribution to conference proceedings]Open Access
Kartsch, V.; Tagliavini, G.; Guermandi, M.; Benatti, S.; Rossi, D.; Benini, L., BioWolf: A Sub-10-mW 8-Channel Advanced Brain-Computer Interface Platform with a Nine-Core Processor and BLE Connectivity, «IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS», 2019, 13, Article number: 8758394 , pp. 893 - 906 [Scientific article]
Tagliavini G.; MacH S.; Rossi D.; Marongiu A.; Benini L., Design and Evaluation of SmallFloat SIMD extensions to the RISC-V ISA, in: Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition (DATE), Institute of Electrical and Electronics Engineers Inc. (IEEE), 2019, pp. 654 - 657 (atti di: 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, Firenze, Italy, 25 – 29 March 2019) [Contribution to conference proceedings]Open Access
Pullini A.; Rossi D.; Loi I.; Tagliavini G.; Benini L., Mr.Wolf: An Energy-Precision Scalable Parallel Ultra Low Power SoC for IoT Edge Processing, «IEEE JOURNAL OF SOLID-STATE CIRCUITS», 2019, 54, Article number: 8715500 , pp. 1970 - 1981 [Scientific article]Open Access
Mach, Stefan; Rossi, Davide; Tagliavini, Giuseppe; Marongiu, Andrea; Benini, Luca, A Transprecision Floating-Point Architecture for Energy-Efficient Embedded Computing, in: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Institute of Electrical and Electronics Engineers Inc., 2018, pp. 1 - 5 (atti di: 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018, Firenze (Italy), 27–30 May 2018) [Contribution to conference proceedings]Open Access
Giuseppe, Tagliavini; Stefan, Mach; Davide, Rossi; Andrea, Marongiu; Luca, Benini, A Transprecision Floating-Point Platform for Ultra-Low Power Computing, in: Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition (DATE), IEEE, 2018, pp. 1051 - 1056 (atti di: Design, Automation and Test in Europe (DATE), Dresden, Germany, 19-23 Marzo 2018) [Contribution to conference proceedings]Open Access
Tagliavini, Giuseppe; Haugou, Germain; Marongiu, Andrea; Benini, Luca, Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core accelerators, «JOURNAL OF REAL-TIME IMAGE PROCESSING», 2018, 15, pp. 73 - 92 [Scientific article]
