Dayane Reis

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2023

Privacy Preserving In-memory Computing Engine.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Mohammad Mehdi Sharifi

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

In-Memory Computing Accelerators for Emerging Learning Paradigms.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Des. Test, 2022

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

[BibT_eX]

[DOI]

Junhuan Yang

Venkat Kalyan Reddy Yasa

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

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

[BibT_eX]

[DOI]

Mengyuan Li

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2020

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

[BibT_eX]

[DOI]

IEEE Des. Test, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Emerging Neural Workloads and Their Impact on Hardware.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Ferroelectric FET Based TCAM Designs for Energy Efficient Computing.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2018

Computing in memory with FeFETs.

[BibT_eX]

[DOI]

Dayane Alfenas Reis