activity
20182024
most citedCorona: System Implications of Emerging Nanophotonic Technology

462 citations · 1.2k across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.AR2023

CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure

Sangpyo Kim, Jongmin Kim, Jaeyoung Choi +1

Fully homomorphic encryption (FHE) is in the spotlight as a definitive solution for privacy, but the high computational overhead of FHE poses a challenge to its practical adoption.…

cs.AR2023★ 462 cited

Corona: System Implications of Emerging Nanophotonic Technology

Dana Vantrease, Robert Schreiber, Matteo Monchiero +7

We expect that many-core microprocessors will push performance per chip from the 10 gigaflop to the 10 teraflop range in the coming decade. To support this increased performance, m…

cs.AR2023

RETROSPECTIVE: Corona: System Implications of Emerging Nanophotonic Technology

Dana Vantrease, Robert Schreiber, Matteo Monchiero +7

The 2008 Corona effort was inspired by a pressing need for more of everything, as demanded by the salient problems of the day. Dennard scaling was no longer in effect. A lot of com…

cs.CR2023★ 12 cited

X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands

Hwayong Nam, Seungmin Baek, Minbok Wi +5

The demand for accurate information about the internal structure and characteristics of dynamic random-access memory (DRAM) has been on the rise. Recent studies have explored the s…

cs.PF2023★ 131 cited

Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices

Yan Sun, Yifan Yuan, Zeduo Yu +11

The ever-growing demands for memory with larger capacity and higher bandwidth have driven recent innovations on memory expansion and disaggregation technologies based on Compute eX…

cs.CR2023★ 32 cited

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks

Donghwan Kim, Jaiyoung Park, Jongmin Kim +2

Convolutional neural network (CNN) inference using fully homomorphic encryption (FHE) is a promising private inference (PI) solution due to the capability of FHE that enables offlo…