Jongmin Kim

27 papers A* 7Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Cheddar: A Swift Fully Homomorphic Encryption Library Designed for GPU Architectures.
ASPLOS (1)
Wonseok Choi, Jongmin Kim, Jung Ho Ahn
2026 A* conf
IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
HPCA
Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn
2025 A* conf
Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory.
HPCA
Jongmin Kim, Sungmin Yun, Hyesung Ji, Wonseok Choi, Sangpyo Kim, Jung Ho Ahn
2025 J jnl
IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements.
CoRR
Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn
2025 — conf
SHIP: A Shallow and Highly Parallelizable CKKS Bootstrapping Algorithm.
EUROCRYPT (3)
Jung Hee Cheon, Guillaume Hanrot, Jongmin Kim, Damien Stehlé
2025 J jnl
SHIP: A Shallow and Highly Parallelizable CKKS Bootstrapping Algorithm.
IACR Cryptol. ePrint Arch.
Jung Hee Cheon, Guillaume Hanrot, Jongmin Kim, Damien Stehlé
2025 J jnl
The New LLM Bottleneck: A Systems Perspective on Latent Attention and Mixture-of-Experts.
CoRR
Sungmin Yun, Seonyong Park, Hwayong Nam, Younjoo Lee, Gunjun Lee, Kwanhee Kyung, Sangpyo Kim, Nam Sung Kim, Jongmin Kim, Hyungyo Kim, Juhwan Cho, Seungmin Baek, Jung Ho Ahn
2025 J jnl
Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration.
CoRR
Wonseok Choi, Hyunah Yu, Jongmin Kim, Hyesung Ji, Jaiyoung Park, Jung Ho Ahn
2025 J jnl
Unlocking Private Computation at Scale: The Acceleration of Homomorphic Encryption.
Computer
Jaiyoung Park, Sangpyo Kim, Jongmin Kim, Jung Ho Ahn
2024 J jnl
Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs.
CoRR
Jongmin Kim, Wonseok Choi, Jung Ho Ahn
2024 — conf
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure.
SEED
Sangpyo Kim, Jongmin Kim, Jaeyoung Choi, Jung Ho Ahn
2024 A* conf
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching.
MICRO
Sungmin Yun, Kwanhee Kyung, Juhwan Cho, Jaewan Choi, Jongmin Kim, Byeongho Kim, Sukhan Lee, Kyomin Sohn, Jung Ho Ahn
2024 J jnl
Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching.
CoRR
Sungmin Yun, Kwanhee Kyung, Juhwan Cho, Jaewan Choi, Jongmin Kim, Byeongho Kim, Sukhan Lee, Kyomin Sohn, Jung Ho Ahn
2024 J jnl
HyPHEN: A Hybrid Packing Method and Its Optimizations for Homomorphic Encryption-Based Neural Networks.
IEEE Access
Donghwan Kim, Jaiyoung Park, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn
2024 A* conf
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping.
CCS
Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn
2023 J jnl
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure.
CoRR
Sangpyo Kim, Jongmin Kim, Jaeyoung Choi, Jung Ho Ahn
2023 — conf
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application.
WAHC@CCS
Rashmi Agrawal, Jung Ho Ahn, Flávio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang
2023 J jnl
High-precision RNS-CKKS on fixed but smaller word-size architectures: theory and application.
IACR Cryptol. ePrint Arch.
Rashmi Agrawal, Jung Ho Ahn, Flávio Bergamaschi, Ro Cammarota, Jung Hee Cheon, Fillipe D. M. de Souza, Huijing Gong, Minsik Kang, Duhyeong Kim, Jongmin Kim, Hubert de Lassus, Jai Hyun Park, Michael Steiner, Wen Wang
2023 J jnl
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks.
CoRR
Donghwan Kim, Jaiyoung Park, Jongmin Kim, Sangpyo Kim, Jung Ho Ahn
2023 J jnl
NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and Bootstrapping.
CoRR
Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Donghwan Kim, Jung Ho Ahn
2023 A* conf
SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption.
ISCA
Jongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park, Donghwan Kim, Jung Ho Ahn
2023 J jnl
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption.
CoRR
Jaiyoung Park, Donghwan Kim, Jongmin Kim, Sangpyo Kim, Wonkyung Jung, Jung Hee Cheon, Jung Ho Ahn
2022 A* conf
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse.
MICRO
Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, Minsoo Rhu, John Kim, Jung Ho Ahn
2022 J jnl
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse.
CoRR
Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn
2022 A* conf
BTS: an accelerator for bootstrappable fully homomorphic encryption.
ISCA
Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, John Kim, Minsoo Rhu, Jung Ho Ahn
2021 J jnl
Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization.
IEEE Access
Wonkyung Jung, Eojin Lee, Sangpyo Kim, Jongmin Kim, Namhoon Kim, Keewoo Lee, Chohong Min, Jung Hee Cheon, Jung Ho Ahn
2021 J jnl
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption.
CoRR
Sangpyo Kim, Jongmin Kim, Michael Jaemin Kim, Wonkyung Jung, Minsoo Rhu, John Kim, Jung Ho Ahn