Dayane Reis

According to our database, Dayane Reis authored at least 27 papers between 2015 and 2023.

Collaborative distances:

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

2023

An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs.

Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu

IEEE Trans. Emerg. Top. Comput., 2023

A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection.

Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis

CoRR, 2023

Privacy Preserving In-memory Computing Engine.

Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael T. Niemier, Xiaobo Sharon Hu

CoRR, 2023

Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge.

Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

In-Memory Computing Accelerators for Emerging Learning Paradigms.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption.

Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu

IEEE Trans. Very Large Scale Integr. Syst., 2022

Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic.

Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo

IEEE Des. Test, 2022

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing.

Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

iMARS: an in-memory-computing architecture for recommendation systems.

Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption.

Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu

IEEE Trans. Very Large Scale Integr. Syst., 2020

Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures.

Di Gao, Dayane Reis, Xiaobo Sharon Hu, Cheng Zhuo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-Enabled RAM.

Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, Xiaobo Sharon Hu, Taeho Jung

IACR Cryptol. ePrint Arch., 2020

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures.

Xiaoming Chen, Kai Ni, Michael T. Niemier, Dayane Reis, Xiaoyu Sun, Panni Wang, Suman Datta, Xiaobo Sharon Hu, Xunzhao Yin, Matthew Jerry, Shimeng Yu, Ann Franchesca Laguna

IEEE Des. Test, 2020

Modeling and Benchmarking Computing-in-Memory for Design Space Exploration.

Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications.

Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Emerging Neural Workloads and Their Impact on Hardware.

David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model.

Xunzhao Yin, Kai Ni, Dayane Alfenas Reis, Suman Datta, Michael T. Niemier, Xiaobo Sharon Hu

IEEE Trans. Circuits Syst. II Express Briefs, 2019

Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures.

Di Gao, Dayane Alfenas Reis, Xiaobo Sharon Hu, Cheng Zhuo

CoRR, 2019

Ferroelectric FET Based TCAM Designs for Energy Efficient Computing.

Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan

Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019

The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper.

Jörg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang

Proceedings of the International Conference on Computer-Aided Design, 2019

Ferroelectric FET Based In-Memory Computing for Few-Shot Learning.

Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Computing in memory with FeFETs.

Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

2016

A Methodology for Standard Cell Design for QCA.

Dayane Alfenas Reis, Caio Araujo T. Campos, Thiago Rodrigues B. S. Soares, Omar Paranaiba Vilela Neto, Frank Sill Torres

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

2015

A novel methodology for robustness analysis of QCA circuits.

Dayane Alfenas Reis, Frank Sill Torres

Proceedings of the 28th Symposium on Integrated Circuits and Systems Design, 2015