Gme: Gpu-based microarchitectural extensions to accelerate homomorphic encryption
Fully Homomorphic Encryption (FHE) enables the processing of encrypted data without
decrypting it. FHE has garnered significant attention over the past decade as it supports …
decrypting it. FHE has garnered significant attention over the past decade as it supports …
Secure Machine Learning Hardware: Challenges and Progress [Feature]
With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes
applications that process sensitive user data and make critical decisions, security concerns …
applications that process sensitive user data and make critical decisions, security concerns …
A Design Methodology for Producing Highly-Adaptable and High-Performance Simulation Frameworks
Y Bao - 2024 - search.proquest.com
Computer architecture simulators play an essential role in the development and optimization
of computer hardware. A variety of simulators have been developed to explore the design …
of computer hardware. A variety of simulators have been developed to explore the design …
An eDRAM-Based In-Situ-Computing Processor for Homomorphic Encryption Evaluation on the Edge
L Lei, Y Zhu, X Zou, Y He, Z Zhang… - 2024 IEEE European …, 2024 - ieeexplore.ieee.org
This work presents an in-situ-computing accelerator for homomorphic encryption (HE)
evaluation on the edge, with eight eDRAM-based in-situ HE processing cores integrated …
evaluation on the edge, with eight eDRAM-based in-situ HE processing cores integrated …
[PDF][PDF] GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
KSYBR Agrawal, MSGJE Mora - 2023 - michaeltshen.github.io
ABSTRACT Fully Homomorphic Encryption (FHE) enables the processing of encrypted data
without decrypting it. FHE has garnered significant attention over the past decade as it …
without decrypting it. FHE has garnered significant attention over the past decade as it …