Dayane Reis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Outlier Detection

Energy Efficient

Homomorphic Encryption

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Sabrina Hassan Moon, Dayane Reis
AFeCAM: An Energy Efficient Analog 1FeFET Content Addressable Memory. ACM Great Lakes Symposium on VLSI (2024)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73 (6) (2024)
Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu
Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. ICCAD (2023)
Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael T. Niemier, Xiaobo Sharon Hu
Privacy Preserving In-memory Computing Engine. CoRR (2023)
Bi Wu, Haonan Zhu, Dayane Reis, Zhaohao Wang, Ying Wang, Ke Chen, Weiqiang Liu, Fabrizio Lombardi, Xiaobo Sharon Hu
An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR (2023)
Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
In-Memory Computing Accelerators for Emerging Learning Paradigms. ASP-DAC (2023)
Qingrong Huang, Dayane Reis, Chao Li, Di Gao, Michael T. Niemier, Xiaobo Sharon Hu, Mohsen Imani, Xunzhao Yin, Cheng Zhuo
Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. IEEE Des. Test 39 (2) (2022)
Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu
iMARS: An In-Memory-Computing Architecture for Recommendation Systems. CoRR (2022)
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI (2022)
Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu
iMARS: an in-memory-computing architecture for recommendation systems. DAC (2022)
Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. IEEE Trans. Very Large Scale Integr. Syst. 30 (5) (2022)
Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. ASP-DAC (2021)
Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. CoRR (2021)
Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. DATE (2021)
Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption. CoRR (2020)
Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, X. Sharon Hu, Taeho Jung
Algorithmic Acceleration of B/FV-Like Somewhat Homomorphic Encryption for Compute-Enabled RAM. SAC (2020)
Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu
Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption. IEEE Trans. Very Large Scale Integr. Syst. 28 (11) (2020)
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
The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. IEEE Des. Test 37 (1) (2020)
Di Gao, Dayane Reis, Xiaobo Sharon Hu, Cheng Zhuo
Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. DATE (2020)
Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, Xiaobo Sharon Hu, Taeho Jung
Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-Enabled RAM. IACR Cryptol. ePrint Arch. 2020 (2020)
Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI (2020)
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
Emerging Neural Workloads and Their Impact on Hardware. DATE (2020)
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
The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. ICCAD (2019)