Folgen
Weier Wan
Titel
Zitiert von
Zitiert von
Jahr
A compute-in-memory chip based on resistive random-access memory
W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ...
Nature 608 (7923), 504-512, 2022
3802022
Device and materials requirements for neuromorphic computing
R Islam, H Li, PY Chen, W Wan, HY Chen, B Gao, H Wu, S Yu, ...
Journal of Physics D: Applied Physics 52 (11), 113001, 2019
1422019
33.1 A 74 TMACS/W CMOS-RRAM neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models
W Wan, R Kubendran, SB Eryilmaz, W Zhang, Y Liao, D Wu, S Deiss, ...
2020 IEEE International Solid-State Circuits Conference-(ISSCC), 498-500, 2020
1192020
Recent advances and future prospects for memristive materials, devices, and systems
MK Song, JH Kang, X Zhang, W Ji, A Ascoli, I Messaris, AS Demirkol, ...
ACS nano 17 (13), 11994-12039, 2023
752023
High-density multiple bits-per-cell 1T4R RRAM array with gradual SET/RESET and its effectiveness for deep learning
ER Hsieh, M Giordano, B Hodson, A Levy, SK Osekowsky, RM Radway, ...
2019 IEEE International Electron Devices Meeting (IEDM), 35.6. 1-35.6. 4, 2019
502019
SAPIENS: A 64-kb RRAM-based non-volatile associative memory for one-shot learning and inference at the edge
H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, WS Khwa, ...
IEEE Transactions on Electron Devices 68 (12), 6637-6643, 2021
472021
Neuromorphic architectures with electronic synapses
SB Eryilmaz, S Joshi, E Neftci, W Wan, G Cauwenberghs, HSP Wong
2016 17th International Symposium on Quality Electronic Design (ISQED), 118-123, 2016
392016
A voltage-mode sensing scheme with differential-row weight mapping for energy-efficient RRAM-based in-memory computing
W Wan, R Kubendran, B Gao, S Joshi, P Raina, H Wu, G Cauwenberghs, ...
2020 IEEE Symposium on VLSI Technology, 1-2, 2020
382020
Error-resilient analog image storage and compression with analog-valued rram arrays: an adaptive joint source-channel coding approach
X Zheng, R Zarcone, D Paiton, J Sohn, W Wan, B Olshausen, HSP Wong
2018 IEEE International Electron Devices Meeting (IEDM), 3.5. 1-3.5. 4, 2018
282018
Novel in-memory matrix-matrix multiplication with resistive cross-point arrays
Y Liao, H Wu, W Wan, W Zhang, B Gao, HSP Wong, H Qian
2018 IEEE Symposium on VLSI Technology, 31-32, 2018
222018
One-shot learning with memory-augmented neural networks using a 64-kbit, 118 GOPS/W RRAM-based non-volatile associative memory
H Li, WC Chen, A Levy, CH Wang, H Wang, PH Chen, W Wan, HSP Wong, ...
2021 Symposium on VLSI Technology, 1-2, 2021
212021
Analog coding in emerging memory systems
RV Zarcone, JH Engel, S Burc Eryilmaz, W Wan, SB Kim, M BrightSky, ...
Scientific reports 10 (1), 6831, 2020
112020
Edge AI without compromise: efficient, versatile and accurate neurocomputing in resistive random-access memory
W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ...
arXiv preprint arXiv:2108.07879, 2021
102021
Coming up N3XT, after 2D scaling of Si CMOS
W Hwang, W Wan, S Mitra, HSP Wong
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
92018
A 1.52 pJ/spike reconfigurable multimodal integrate-and-fire neuron array transceiver
R Kubendran, W Wan, S Joshi, HSP Wong, G Cauwenberghs
International Conference on Neuromorphic Systems 2020, 1-4, 2020
42020
Facial Expression Recognition Using Convlutional Neural Network
W Wan, C Yang, Y Li
12016
Neurram: Rram compute-in-memory chip for efficient versatile and accurate ai inference
W Wan, R Kubendran, C Schaefer, SB Eryilmaz, W Zhang, D Wu, S Deiss, ...
1
RRAM Compute-in-Memory Hardware for Efficient, Versatile, and Accurate ai Inference
W Wan
Stanford University, 2022
2022
Analog Coding in Emerging Memory Systems (vol 17, 819, 2020)
RV Zarcone, JH Engel, SB Eryilmaz, W Wan, SB Kim, M BrightSky, C Lam, ...
SCIENTIFIC REPORTS 10 (1), 2020
2020
Neural Network with Binary Activations for Efficient Neuromorphic Computing
W Wan, L Li
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20