Sangpyo Kim
Orcid: 0000-0001-9477-6683
According to our database1,
Sangpyo Kim
authored at least 15 papers
between 2020 and 2025.
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Bibliography
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
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
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 Trans. Cryptogr. Hardw. Embed. Syst., 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