93 citations
- Boston UniversityUS4 papers
- Massachusetts Institute of TechnologyUS2 papers
- Capital One (United States)US1 paper
- Carnegie Mellon UniversityUS1 paper
- Château GombertFR1 paper
- Durham UniversityGB1 paper
- George Mason UniversityUS1 paper
- Google (United States)US1 paper
- Harvard University PressUS1 paper
- Institut de Mathématiques de MarseilleFR1 paper
- Institut de Mécanique et d'Ingénierie de BordeauxFR1 paper
- Institut Polytechnique de BordeauxFR1 paper
Showing 2023Show all
3 papers · 1 filter
cs.AR2023★ 14 cited
Mirage: An RNS-Based Photonic Accelerator for DNN Training
Cansu Demirkiran, Guowei Yang, Darius Bunandar +1
Photonic computing is a compelling avenue for performing highly efficient matrix multiplication, a crucial operation in Deep Neural Networks (DNNs). While this method has shown gre…
cs.CR2023★ 45 cited
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal +9
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 secure…
cs.ET2023★ 11 cited
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
Cansu Demirkiran, Lakshmi Nair, Darius Bunandar +1
Analog computing has reemerged as a promising avenue for accelerating deep neural networks (DNNs) due to its potential to overcome the energy efficiency and scalability challenges…