Sangpyo Kim

Orcid: 0000-0001-9477-6683

According to our database1, Sangpyo Kim authored at least 18 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Five-Year Journey to Accelerate Homomorphic Encryption With GPUs, Demonstrated by Sub-25-ms Convolutional Neural Network Inference.
IEEE Micro, 2026

IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

2025
Unlocking Private Computation at Scale: The Acceleration of Homomorphic Encryption.
Computer, December, 2025

The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts.
CoRR, July, 2025

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024
Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture.
IEEE Comput. Archit. Lett., 2024

HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-Based Neural Networks.
IEEE Access, 2024

CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure.
Proceedings of the International Symposium on Secure and Private Execution Environment Design, 2024

2023
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption.
CoRR, 2023

HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks.
CoRR, 2023

SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

BTS: an accelerator for bootstrappable fully homomorphic encryption.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2021
Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs.
IACR Cryptol. ePrint Arch., 2021

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization.
IEEE Access, 2021

Accelerating Fully Homomorphic Encryption Through Microarchitecture-Aware Analysis and Optimization.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization.
CoRR, 2020

Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020


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