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Stefan Mach
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2020 – today
- 2024
- [c16]Pascal Alexander Hager, Bert Moons, Stefan Cosemans, Ioannis A. Papistas, Bram Rooseleer, Jeroen Van Loon, Roel Uytterhoeven, Florian Zaruba, Spyridoula Koumousi, Milos Stanisavljevic, Stefan Mach, Sebastiaan Mutsaards, Riduan Khaddam Aljameh, Gua Hao Khov, Brecht Machiels, Cristian Olar, Anastasios Psarras, Sander Geursen, Jeroen Vermeeren, Yi Lu, Abhishek Maringanti, Deepak Ameta, Leonidas Katselas, Noah Hütter, Manuel Schmuck, Swetha Sivadas, Karishma Sharma, Manuel Oliveira, Ramon Aerne, Nitish Sharma, Timir Soni, Beatrice Bussolino, Djordje Pesut, Michele Pallaro, Andrei Podlesnii, Alexios Lyrakis, Yannick Ruffiner, Martino Dazzi, Johannes Thiele, Koen Goetschalckx, Nazareno Bruschi, Jonas Doevenspeck, Bram Verhoef, Stefan Linz, Giuseppe Garcea, Jonathan Ferguson, Ioannis Koltsidas, Evangelos Eleftheriou:
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge. ISSCC 2024: 212-214 - 2022
- [j3]Davide Rossi
, Francesco Conti
Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. IEEE J. Solid State Circuits 57(1): 127-139 (2022) - [j2]Fabio Montagna
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics. IEEE Trans. Parallel Distributed Syst. 33(5): 1038-1053 (2022) - [c15]Luca Bertaccini, Gianna Paulin
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V Cores. ARITH 2022: 1-8 - [i6]Luca Bertaccini, Gianna Paulin, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores. CoRR abs/2207.03192 (2022) - 2021
- [b1]Stefan Mach:
Floating-point architectures for energy-efficient transprecision computing. ETH Zurich, Zürich, Switzerland, Hartung-Gorre Verlag 2021, ISBN 978-3-86628-719-8, pp. 1-199 - [j1]Stefan Mach
FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 774-787 (2021) - [c14]Hanna Müller, Daniele Palossi, Stefan Mach, Francesco Conti, Luca Benini:
Fünfiiber-Drone: A Modular Open-Platform 18-grams Autonomous Nano-Drone. DATE 2021: 1610-1615 - [c13]Luca Bertaccini, Matteo Perotti, Stefan Mach, Pasquale Davide Schiavone, Florian Zaruba, Luca Benini:
Tiny-FPU: Low-Cost Floating-Point Support for Small RISC-V MCU Cores. ISCAS 2021: 1-5 - [c12]Davide Rossi, Francesco Conti, Manuel Eggimann, Stefan Mach, Alfio Di Mauro, Marco Guermandi, Giuseppe Tagliavini, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini:
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. ISSCC 2021: 60-62 - [c11]Matteo Perotti, Giuseppe Tagliavini, Stefan Mach, Luca Bertaccini, Luca Benini:
RVfplib: A Fast and Compact Open-Source Floating-Point Emulation Library for Tiny RISC-V Processors. SAMOS 2021: 16-32 - [i5]Davide Rossi, Francesco Conti, Manuel Eggimann, Alfio Di Mauro, Giuseppe Tagliavini, Stefan Mach, Marco Guermandi, Antonio Pullini, Igor Loi, Jie Chen, Eric Flamand, Luca Benini:
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. CoRR abs/2110.09101 (2021) - 2020
- [c10]Dionysios Diamantopoulos, Florian Scheidegger
XwattPilot: A Full-stack Cloud System Enabling Agile Development of Transprecision Software for Low-power SoCs. COOL CHIPS 2020: 1-3 - [c9]Alfio Di Mauro, Florian Zaruba, Fabian Schuiki, Stefan Mach, Luca Benini:
Live Demonstration: Exploiting Body-Biasing for Static Corner Trimming and Maximum Energy Efficiency Operation in 22nm FDX Technology. ISCAS 2020: 1 - [i4]Stefan Mach, Fabian Schuiki, Florian Zaruba, Luca Benini:
FPnew: An Open-Source Multi-Format Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing. CoRR abs/2007.01530 (2020) - [i3]Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini:
A transprecision floating-point cluster for efficient near-sensor data analytics. CoRR abs/2008.12243 (2020)
2010 – 2019
- 2019
- [c8]Giuseppe Tagliavini, Stefan Mach, Davide Rossi, Andrea Marongiu, Luca Benini
Design and Evaluation of SmallFloat SIMD extensions to the RISC-V ISA. DATE 2019: 654-657 - [c7]Florian Zaruba, Fabian Schuiki, Stefan Mach, Luca Benini:
The Floating Point Trinity: A Multi-modal Approach to Extreme Energy-Efficiency and Performance. ICECS 2019: 767-770 - [c6]Manuel Eggimann, Stefan Mach, Michele Magno
A RISC-V Based Open Hardware Platform for Always-On Wearable Smart Sensing. IWASI 2019: 169-174 - [c5]Stefan Mach, Fabian Schuiki, Florian Zaruba, Luca Benini
A 0.80pJ/flop, 1.24Tflop/sW 8-to-64 bit Transprecision Floating-Point Unit for a 64 bit RISC-V Processor in 22nm FD-SOI. VLSI-SoC 2019: 95-98 - 2018
- [c4]Giuseppe Tagliavini, Stefan Mach, Davide Rossi, Andrea Marongiu, Luca Benini:
A transprecision floating-point platform for ultra-low power computing. DATE 2018: 1051-1056 - [c3]Florian Glaser, Stefan Mach, Abbas Rahimi
An 826 MOPS, 210uW/MHz Unum ALU in 65 nm. ISCAS 2018: 1-5 - [c2]Stefan Mach, Davide Rossi, Giuseppe Tagliavini, Andrea Marongiu, Luca Benini
A Transprecision Floating-Point Architecture for Energy-Efficient Embedded Computing. ISCAS 2018: 1-5 - 2017
- [i2]Giuseppe Tagliavini, Stefan Mach, Davide Rossi, Andrea Marongiu, Luca Benini:
A Transprecision Floating-Point Platform for Ultra-Low Power Computing. CoRR abs/1711.10374 (2017) - [i1]Florian Glaser, Stefan Mach, Abbas Rahimi, Frank K. Gürkaynak, Qiuting Huang, Luca Benini:
An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm. CoRR abs/1712.01021 (2017) - 2016
- [c1]Antonio Pullini, Stefan Mach, Michele Magno
A Dual Processor Energy-Efficient Platform with Multi-core Accelerator for Smart Sensing. S-CUBE 2016: 29-40
Coauthor Index
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