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Renzo Andri
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2020 – today
- 2023
- [j7]Samuel Riedel, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool: A Scalable Manycore Architecture With a Low-Latency Shared L1 Memory. IEEE Trans. Computers 72(12): 3561-3575 (2023) - [c12]Enrico Reggiani, Renzo Andri, Lukas Cavigelli:
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. DAC 2023: 1-6 - [c11]Samuel Riedel, Gua Hao Khov, Sergio Mazzola, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool Meets Systolic: Flexible Systolic Computation in a Large Shared-Memory Processor Cluster. DATE 2023: 1-2 - [i14]Samuel Riedel, Matheus A. Cavalcante, Renzo Andri, Luca Benini:
MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory. CoRR abs/2303.17742 (2023) - [i13]Enrico Reggiani, Renzo Andri, Lukas Cavigelli:
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. CoRR abs/2305.04546 (2023) - [i12]Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini:
Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor. CoRR abs/2311.07493 (2023) - [i11]Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini:
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication. CoRR abs/2311.10207 (2023) - 2022
- [j6]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2002-2012 (2022) - [c10]Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini:
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. ASAP 2022: 43-51 - [c9]Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang:
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles. MICRO 2022: 582-598 - [i10]Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini:
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. CoRR abs/2201.03386 (2022) - [i9]Anastasios Zouzias, Kleovoulos Kalaitzidis, Konstantin Berestizshevsky, Renzo Andri, Leeor Peled, Zhe Wang:
Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction. CoRR abs/2207.14033 (2022) - [i8]Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang:
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile. CoRR abs/2209.12982 (2022) - [i7]Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini:
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. CoRR abs/2210.08882 (2022) - [i6]Aritra Dhar, Supraja Sridhara, Shweta Shinde, Srdjan Capkun, Renzo Andri:
Empowering Data Centers for Next Generation Trusted Computing. CoRR abs/2211.00306 (2022) - 2021
- [j5]Gianna Paulin, Renzo Andri, Francesco Conti, Luca Benini:
RNN-Based Radio Resource Management on Multicore RISC-V Accelerator Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29(9): 1624-1637 (2021) - [c8]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS 2021: 1-5 - [i5]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini:
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR abs/2101.04446 (2021) - 2020
- [b1]Renzo Andri:
Machine learning acceleration for tightly energy-constrained devices. ETH Zurich, Zürich, Switzerland, Hartung-Gorre Verlag 2020, ISBN 978-3-86628-693-1, pp. 1-231 - [c7]Renzo Andri, Tomas Henriksson, Luca Benini:
Extending the RISC-V ISA for Efficient RNN-based 5G Radio Resource Management. DAC 2020: 1-6 - [c6]Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini:
Sound event detection with binary neural networks on tightly power-constrained IoT devices. ISLPED 2020: 19-24 - [i4]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR abs/2005.07137 (2020)
2010 – 2019
- 2019
- [j4]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 309-322 (2019) - 2018
- [j3]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(1): 48-60 (2018) - [c5]Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini:
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks. COOL CHIPS 2018: 1-3 - [c4]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. ISVLSI 2018: 509-515 - [i3]Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini:
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks. CoRR abs/1803.05849 (2018) - [i2]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. CoRR abs/1804.00623 (2018) - 2017
- [j2]Francesco Conti, Daniele Palossi, Renzo Andri, Michele Magno, Luca Benini:
Accelerated Visual Context Classification on a Low-Power Smartwatch. IEEE Trans. Hum. Mach. Syst. 47(1): 19-30 (2017) - 2016
- [j1]Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini:
InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustain. Comput. Informatics Syst. 11: 38-49 (2016) - [c3]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. ISVLSI 2016: 236-241 - [i1]Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini:
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. CoRR abs/1606.05487 (2016) - 2015
- [c2]Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini:
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. IoT 360 (2) 2015: 331-343 - 2014
- [c1]Michael Gautschi, Michael Muehlberghuber, Andreas Traber, Sven Stucki, Matthias Baer, Renzo Andri, Luca Benini, Beat Muheim, Hubert Kaeslin:
SIR10US: A tightly coupled elliptic-curve cryptography co-processor for the OpenRISC. ASAP 2014: 25-29
Coauthor Index
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last updated on 2023-11-29 20:25 CET by the dblp team
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