| 16.4 An 89TOPS/W and 16.3TOPS/mm2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications YD Chih, PH Lee, H Fujiwara, YC Shih, CF Lee, R Naous, YL Chen, ... 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 252-254, 2021 | 201 | 2021 |
| Memristors empower spiking neurons with stochasticity M Al-Shedivat, R Naous, G Cauwenberghs, KN Salama IEEE journal on Emerging and selected topics in circuits and systems 5 (2 …, 2015 | 140 | 2015 |
| A 7-nm compute-in-memory SRAM macro supporting multi-bit input, weight and output and achieving 351 TOPS/W and 372.4 GOPS ME Sinangil, B Erbagci, R Naous, K Akarvardar, D Sun, WS Khwa, ... IEEE Journal of Solid-State Circuits 56 (1), 188-198, 2020 | 117 | 2020 |
| Stochasticity Modeling in Memristors R Naous, M Al-Shedivat, KN Salama IEEE Transactions on Nanotechnology, 2016 | 113 | 2016 |
| A 5-nm 254-TOPS/W 221-TOPS/mm2 Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous … H Fujiwara, H Mori, WC Zhao, MC Chuang, R Naous, CK Chuang, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022 | 95 | 2022 |
| Single-readout high-density memristor crossbar MA Zidan, H Omran, R Naous, A Sultan, HAH Fahmy, WD Lu, KN Salama Scientific reports 6 (1), 18863, 2016 | 50 | 2016 |
| Memristor-based neural networks: Synaptic versus neuronal stochasticity R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama Aip Advances 6 (11), 2016 | 39 | 2016 |
| A configurable multi-ported register file architecture for soft processor cores MAR Saghir, R Naous Reconfigurable Computing: Architectures, Tools and Applications: Third …, 2007 | 39 | 2007 |
| Inherently stochastic spiking neurons for probabilistic neural computation M Al-Shedivat, R Naous, E Neftci, G Cauwenberghs, KN Salama 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 356-359, 2015 | 28 | 2015 |
| gTBS: a green Task-Based sensing for energy efficient wireless sensor networks A Alhalafi, L Sboui, R Naous, B Shihada Proc. of the IEEE Conference on Computer Communications Workshops (INFOCOM …, 2016 | 27 | 2016 |
| PCM-based analog compute-in-memory: Impact of device non-idealities on inference accuracy X Sun, WS Khwa, YS Chen, CH Lee, HY Lee, SM Yu, R Naous, JY Wu, ... IEEE Transactions on Electron Devices 68 (11), 5585-5591, 2021 | 20 | 2021 |
| Theory and experimental verification of configurable computing with stochastic memristors R Naous, A Siemon, M Schulten, H Alahmadi, A Kindsmüller, M Lübben, ... Scientific reports 11 (1), 4218, 2021 | 20 | 2021 |
| Memristor based crossbar memory array sneak path estimation R Naous, MA Zidan, A Sultan-Salem, KN Salama 2014 14th International Workshop on Cellular Nanoscale Networks and their …, 2014 | 20 | 2014 |
| Design and Analysis of 2T-2M Ternary Content Addressable Memories MA Bahloul, ME Fouda, R Naous, MA Zidan, AM Eltawil, F Kurdahi, ... | 16 | 2017 |
| Pilot assisted readout for passive memristor crossbars KNS Rawan Naous, Mohamed Affan Zidan, Ahmed Sultan Microelectronics Journal, 2016 | 13 | 2016 |
| Approximate computing with stochastic memristors R Naous, KN Salama CNNA 2016; 15th International Workshop on Cellular Nanoscale Networks and …, 2016 | 11 | 2016 |
| Stochastic synaptic plasticity with memristor crossbar arrays R Naous, M Al-Shedivat, E Neftci, G Cauwenberghs, KN Salama 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2078-2081, 2016 | 11 | 2016 |
| Approximate computing with stochastic transistors’ voltage over-scaling R Li, R Naous, H Fariborzi, KN Salama IEEE Access 7, 6373-6385, 2018 | 10 | 2018 |
| Hardware emulation of memristor based ternary content addressable memory MA Bahloul, R Naous, M Masmoudi 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD …, 2017 | 10 | 2017 |
| Structured deep neural network pruning via matrix pivoting R Sredojevic, S Cheng, L Supic, R Naous, V Stojanovic arXiv preprint arXiv:1712.01084, 2017 | 7 | 2017 |
Khaled Nabil SalamaKing Abdullah Univeristy of Science and Technology (KAUST)在 kaust.edu.sa 的电子邮件经过验证
