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ORCID17th NANOARCH 2022: Virtual Event, OR, USA
- Christof Teuscher, Jie Han:
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, NANOARCH 2022, Virtual, OR, USA, December 7-9, 2022. ACM 2022, ISBN 978-1-4503-9938-8 - Bhanprakash Goswami
, Manan Suri:
Single Cycle XOR (SCXOR) and Stateful n-bit Parallel Adder Implementation Using 2D RRAM Crossbar. 1:1-1:6 - Kai Liu, Bi Wu, Haonan Zhu, Weiqiang Liu:
High-performance STT-MRAM Logic-in-Memory Scheme Utilizing Data Read Features. 2:1-2:6 - Didi Zhang, Bi Wu, Haonan Zhu, Weiqiang Liu:
Capacity-oriented High-performance NV-TCAM Leveraging Hybrid MRAM Scheme. 3:1-3:6 - Zhongkui Zhang, Chao Wang, Zhaohao Wang:
Parallel Computing in Memory Paradigm based on Reconfigurable Spin-Orbit Torque. 4:1-4:2 - Yiju Zhao, Youngki Yoon, Lan Wei:
A Multi-Level Simulation of GeH FETs: From Nanomaterial and Device Characteristics to Circuit Performance Optimization. 5:1-5:6 - Jungyoun Kwak, Gihun Choe, Shimeng Yu:
A monolithic 3D design technology co-optimization with back-end-of-line oxide channel transistor. 6:1-6:6 - Marcel Walter, Robert Wille:
Efficient Multi-Path Signal Routing for Field-coupled Nanotechnologies. 7:1-7:6 - Konstantinos Rallis, Panagiotis Dimitrakis, Georgios Ch. Sirakoulis, Antonio Rubio, Ioannis Karafyllidis:
Current Characteristics of Defective GNR Nanoelectronic Devices. 8:1-8:6 - Willem Lambooy, Marcel Walter, Robert Wille:
Exploiting the Third Dimension: Stackable Quantum-dot Cellular Automata. 9:1-9:6 - Alex Henderson, Chris Yakopcic, Steven Harbour, Tarek M. Taha, Cory E. Merkel, Hananel Hazan:
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine. 10:1-10:6 - Soyed Tuhin Ahmed, Kamal Danouchi, Christopher Münch, Guillaume Prenat, Lorena Anghel, Mehdi B. Tahoori:
Binary Bayesian Neural Networks for Efficient Uncertainty Estimation Leveraging Inherent Stochasticity of Spintronic Devices. 11:1-11:6 - Siddharth Barve, Rashmi Jha:
NeuroSOFM-Classifier: A Low Power Classifier Using Continuous Real-Time Unsupervised Clustering. 12:1-12:6 - Jiayao Wu, Yijiao Wang, Zhi Yang, Kuiqing He, Pengxu Wang, Weisheng Zhao:
An In-memory Booth Multiplier Based on Non-volatile Memory for Neural Network Applications. 13:1-13:6 - Zhengyi Hou, Luyao Shi, Bi Wang, Zhaohao Wang:
Approximate computation based on NAND-SPIN MRAM for CNN on-chip training. 14:1-14:2 - Hanghang Wang, Ke Chen, Bi Wu, Chenghua Wang, Weiqiang Liu, Fabrizio Lombardi:
HEADiv: A High-accuracy Energy-efficient Approximate Divider with Error Compensation. 15:1-15:6 - Nhat-Tan Phan, Lucile Soumah, Ahmed Sidi El Valli, Louis Hutin, Lorena Anghel, Ursula Ebels, Philippe Talatchian:
Electrical Coupling of Perpendicular Superparamagnetic Tunnel Junctions for Probabilistic Computing. 16:1-16:6 - Ibrahim Krayem, Romain Mercier, Cédric Killian, Angeliki Kritikakou, Daniel Chillet:
Data and Fault Aware Routing Algorithm for NoC Based Approximate Computing. 17:1-17:6 - Rubaya Absar, Zach D. Merino, Hazem Elgabra, Xuesong Chen, Jonathan Baugh, Lan Wei:
Integrated Control Addressing Circuits for a Surface Code Quantum Computer in Silicon. 18:1-18:6 - Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu:
CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. 19:1-19:2 - You Wang, Bi Wu, Hao Cai, Weiqiang Liu:
Low-cost stochastic number generator based on MRAM for stochastic computing. 20:1-20:5 - Timothy J. Baker, Owen Hoffend, John P. Hayes:
Multiplexer-Majority Chains: Managing Correlation and Cost in Stochastic Number Generation. 21:1-21:6 - Han Li, Heng Shi, Honglan Jiang, Siting Liu:
HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks. 22:1-22:6 - Yakun Zhou, Yizhuo Zhou, Jiajun Yan, Jienan Chen:
Hardware Efficiency Stochastic Computing based on Hybrid Spatial Coding. 23:1-23:6 - Kuncai Zhong, Xuan Wang, Chen Wang, Weikang Qian:
Joint Optimization of Randomizer and Computing Core for Low-Cost Stochastic Circuits. 24:1-24:6 - Aokun Hu, Wenjie Li, Dongxu Lv, Guanghui He:
An Efficient Stochastic Convolution Accelerator based on Pseudo-Sobol Sequences. 25:1-25:6
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