Baracat, Farah; Zanghieri, Marcello; Benini, Luca; Farina, Dario; Indiveri, Giacomo; Benatti, Simone; Donati, Elisa, Leveraging Motor Unit Spatial Activation Patterns for Channel Selection in Finger Force Regression, in: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 4 (atti di: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, 15-19 July 2024) [Contribution to conference proceedings]
Wang, Xiaying; Hersche, Michael; Magno, Michele; Benini, Luca, MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain–Machine Interfaces With EEG Channel Selection, «IEEE SENSORS JOURNAL», 2024, 24, pp. 8835 - 8847 [Scientific article]
Perotti, M.; Zhang, Y.; Cavalcante, M.; Mustafa, E.; Benini, L., MX: Enhancing RISC-V's Vector ISA for Ultra-Low Overhead, Energy-Efficient Matrix Multiplication, in: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., 2024, pp. . - . (atti di: 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia Conference Centre (VCC), esp, 2024) [Contribution to conference proceedings]
Conti, Francesco; Paulin, Gianna; Garofalo, Angelo; Rossi, Davide; Di Mauro, Alfio; Rutishauser, Georg; Ottavi, Gianmarco; Eggimann, Manuel; Okuhara, Hayate; Benini, Luca, Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2???8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing, «IEEE JOURNAL OF SOLID-STATE CIRCUITS», 2024, 59, Article number: 10269153 , pp. 128 - 142 [Scientific article]Open Access
Bertaccini, L.; Paulin, G.; Cavalcante, M.; Fischer, T.; Mach, S.; Benini, L., MiniFloats on RISC-V Cores: ISA Extensions With Mixed-Precision Short Dot Products, «IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING», 2024, 12, pp. 1040 - 1055 [Scientific article]
Ingolfsson, T. M.; Benatti, S.; Wang, X.; Bernini, A.; Ducouret, P.; Ryvlin, P.; Beniczky, S.; Benini, L.; Cossettini, A., Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers, «SCIENTIFIC REPORTS», 2024, 14, Article number: 2980 , pp. 1 - 16 [Scientific article]Open Access
Bompani, L.; Rusci, M.; Palossi, D.; Conti, F.; Benini, L., Multi-resolution Rescored ByteTrack for Video Object Detection on Ultra-low-power Embedded Systems, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, 2024, pp. 2182 - 2190 (atti di: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, Seattle, WA, USA, 17-18 June 2024) [Contribution to conference proceedings]
Manoni, S.; Scheffler, P.; Di Mauro, A.; Zanatta, L.; Acquaviva, A.; Benini, L.; Bartolini, A., NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores, in: Proceedings of the 21st ACM International Conference on Computing Frontiers 2024 Workshops and Special Sessions, CF 2024 Companion, Association for Computing Machinery, Inc, 2024, pp. 79 - 82 (atti di: 21st ACM International Conference on Computing Frontiers, CF 2024, Ischia, Italy, 7-9 May 2024) [Contribution to conference proceedings]
Niculescu, V.; Polonelli, T.; Magno, M.; Benini, L., NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots, «IEEE INTERNET OF THINGS JOURNAL», 2024, 11, pp. 13584 - 13607 [Scientific article]
Zhang, C.; Scheffler, P.; Benz, T.; Perotti, M.; Benini, L., Near-Memory Parallel Indexing and Coalescing: Enabling Highly Efficient Indirect Access for SpMV, in: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., 2024, pp. . - . (atti di: 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia Conference Centre (VCC), esp, 2024) [Contribution to conference proceedings]
Khalilov, M.; Chrapek, M.; Shen, S.; Vezzu, A.; Benz, T.; Di Girolamo, S.; Schneider, T.; De Sensi, D.; Benini, L.; Hoefler, T., OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs, in: Proceedings of the 2024 USENIX Annual Technical Conference, ATC 2024, USENIX Association, 2024, pp. 247 - 263 (atti di: 2024 USENIX Annual Technical Conference, ATC 2024, SANTA CLARA, CA, USA, JULY 10–12, 2024) [Contribution to conference proceedings]
Paulin, G.; Scheffler, P.; Benz, T.; Cavalcante, M.; Fischer, T.; Eggimann, M.; Zhang, Y.; Wistoff, N.; Bertaccini, L.; Colagrande, L.; Ottavi, G.; Gurkaynak, F. K.; Rossi, D.; Benini, L., Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-Based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET, in: Digest of Technical Papers - Symposium on VLSI Technology, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 2 (atti di: 2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024, Honolulu, HI, USA, 16-20 June 2024) [Contribution to conference proceedings]
Cioflan, C.; Cavigelli, L.; Rusci, M.; De Prado, M.; Benini, L., On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems, in: 2024 IEEE 6th International Conference on AI Circuits and Systems, AICAS 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 6 - 10 (atti di: 6th IEEE International Conference on AI Circuits and Systems, AICAS 2024, Abu Dhabi, United Arab Emirates, 22-25 April 2024) [Contribution to conference proceedings]
Vostrikov, Sergei; Tille, Josquin; Nazemtsev, Ilia; Benini, Luca; Cossettini, Andrea, Open-Source Fully-Programmable Flow Phantom for Doppler Ultrasound, in: IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 4 (atti di: 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024, Taipei, Taiwan, 22-26 September 2024) [Contribution to conference proceedings]
Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; Pagliari, Daniele Jahier, Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables, in: 2024 IEEE Biomedical Circuits and Systems Conference, BioCAS 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 5 (atti di: 2024 IEEE Biomedical Circuits and Systems Conference, BioCAS 2024, Xi'an, China, 24-26 October 2024) [Contribution to conference proceedings]
