Nellie Laleni

According to our database, Nellie Laleni authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Remedy to Compute-in-Memory with Dynamic Random Access Memory: 1FeFET-1C Technology for Neuro-Symbolic AI.

Xunzhao Yin, Hamza Errahmouni Barkam, Franz Müller, Yu Jiang, Mohsen Imani, Sukhrob Abdulazhanov, Alptekin Vardar, Nellie Laleni, Zijian Zhao, Jiahui Duan, Zhiguo Shi, Siddharth Joshi, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2024

An Efficient FeFET-Based Compute-In-Memory Macro Readout Inspired by the 3T Pixel Array Cell.

Nellie Laleni, Thomas Kämpfe

Proceedings of the 20th International Conference on Synthesis, 2024

Single Slope ADC with Reset Counting for FeFET-based In-Memory Computing.

Nellie Laleni, Sahana Padma, Thomas Kämpfe, Taekwang Jang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Adaptive Mixed MLC-SLC FeFET Mapping for CIM AI Applications Through Simulated Annealing.

Alptekin Vardar, Franz Müller, Ipek Geçin, Nellie Laleni, Thomas Kämpfe

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

An Ultracompact Single-Ferroelectric Field-Effect Transistor Binary and Multibit Associative Search Engine.

Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Zhiguo Shi, Yiyu Shi, Cheng Zhuo, Thomas Kämpfe, Kai Ni

Adv. Intell. Syst., July, 2023

Demonstration of Differential Mode Ferroelectric Field-Effect Transistor Array-Based in-Memory Computing Macro for Realizing Multiprecision Mixed-Signal Artificial Intelligence Accelerator.

Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe

Adv. Intell. Syst., June, 2023

A Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems.

Xunzhao Yin, Yu Qian, Alptekin Vardar, Marcel Gunther, Franz Müller, Nellie Laleni, Zijian Zhao, Zhouhang Jiang, Zhiguo Shi, Yiyu Shi, Xiao Gong, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2023

The True Cost of Errors in Emerging Memory Devices: A Worst-Case Analysis of Device Errors in IMC for Safety-Critical Applications.

Alptekin Vardar, Li Zhang, Saiyam Bherulal Jain, Shaown Mojumder, Nellie Laleni, Sourav De, Thomas Kämpfe

Proceedings of the 19th International Conference on Synthesis, 2023

Hardware Aware Spiking Neural Network Training and Its Mixed-Signal Implementation for Non-Volatile In-Memory Computing Accelerators.

Alptekin Vardar, Aamir Munir, Nellie Laleni, Sourav De, Thomas Kämpfe

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators.

Nellie Laleni, Taha Soliman, Cecilia De la Parra, Franz Müller, Tobias Kirchner, Andre Guntoro, Thomas Kämpfe, Norbert Wehn, T. Jang

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

2022

FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration.

Taha Soliman, Nellie Laleni, Tobias Kirchner, Franz Müller, Ashish Shrivastava, Thomas Kämpfe, Andre Guntoro, Norbert Wehn

ACM Trans. Embed. Comput. Syst., November, 2022

An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine.

Xunzhao Yin, Franz Müller, Qingrong Huang, Chao Li, Mohsen Imani, Zeyu Yang, Jiahao Cai, Maximilian Lederer, Ricardo Olivo, Nellie Laleni, Shan Deng, Zijian Zhao, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2022

2021

Deep Random Forest with Ferroelectric Analog Content Addressable Memory.

Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni

CoRR, 2021

SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper.

Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik Marek Loroch, Hanna M. Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021