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2020 – today
- 2024
[j9]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): 1559-1574 (2024)- [j8]Jonathan Takeshita, Dayane Reis, Ting Gong, Michael T. Niemier, Xiaobo Sharon Hu, Taeho Jung:
Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM. IEEE Trans. Computers 73(10): 2449-2462 (2024) - [c18]Sabrina Hassan Moon, Dayane Reis:
AFeCAM: An Energy Efficient Analog 1FeFET Content Addressable Memory. ACM Great Lakes Symposium on VLSI 2024: 541-545 - [i8]Ahmed Mamdouh, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu, Dayane Reis:
Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM. CoRR abs/2408.15489 (2024) - 2023
- [j7]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): 331-342 (2023) - [c17]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
In-Memory Computing Accelerators for Emerging Learning Paradigms. ASP-DAC 2023: 606-611 - [c16]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: 1-9 - [i7]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 abs/2308.02648 (2023) - [i6]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 abs/2311.17852 (2023) - 2022
- [j6]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): 56-64 (2022) - [j5]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): 553-565 (2022) - [c15]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: 463-468 - [c14]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: 352-357 - [i5]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 abs/2202.09433 (2022) - 2021
- [c13]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: 49-54 - [c12]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: 306-311 - [i4]Dayane Reis, Haoran Geng, Michael T. Niemier, Xiaobo Sharon Hu:
IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. CoRR abs/2112.02231 (2021) - 2020
- [j4]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): 79-99 (2020) - [j3]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): 5011-5024 (2020) - [j2]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): 2300-2313 (2020) - [c11]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: 127-132 - [c10]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: 1462-1471 - [c9]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: 39-44 - [c8]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: 66-89 - [i3]Dayane Reis, Jonathan Takeshita, Taeho Jung, Michael T. Niemier, Xiaobo Sharon Hu:
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption. CoRR abs/2005.03002 (2020) - [i2]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: 1223 (2020)
2010 – 2019
- 2019
- [j1]Xunzhao Yin, Kai Ni, Dayane Alfenas Reis, Suman Datta, Michael T. Niemier, Xiaobo Sharon Hu:
An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model. IEEE Trans. Circuits Syst. II Express Briefs 66-II(9): 1577-1581 (2019) - [c7]Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. ACM Great Lakes Symposium on VLSI 2019: 373-378 - [c6]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: 1-6 - [c5]Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan:
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI 2019: 197-202 - [c4]Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FET Based TCAM Designs for Energy Efficient Computing. ISVLSI 2019: 437-442 - [i1]Di Gao, Dayane Alfenas Reis, Xiaobo Sharon Hu, Cheng Zhuo:
Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures. CoRR abs/1901.09348 (2019) - 2018
- [c3]Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Computing in memory with FeFETs. ISLPED 2018: 24:1-24:6 - 2016
- [c2]Dayane Alfenas Reis, Caio Araujo T. Campos, Thiago Rodrigues B. S. Soares, Omar Paranaiba Vilela Neto, Frank Sill Torres:
A Methodology for Standard Cell Design for QCA. ISCAS 2016: 2114-2117 - 2015
- [c1]Dayane Alfenas Reis, Frank Sill Torres:
A novel methodology for robustness analysis of QCA circuits. SBCCI 2015: 15:1-15:7
Coauthor Index
aka: X. Sharon Hu
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last updated on 2024-10-04 20:04 CEST by the dblp team
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