Wonseok Choi

Computer Architecture & Homomorphic Encryption

My research focuses on computer architectures and systems for homomorphic encryption, emphasizing GPU acceleration and efficient execution of large-scale encrypted workloads.

I am a Ph.D. student at Seoul National University (SNU), working in the SCALE Lab under the supervision of Prof. Jung Ho Ahn. My current work centers on fully homomorphic encryption libraries on GPUs, with broader interests in secure computation and high-performance architectures.

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Publications

A Five-Year Journey to Accelerate Homomorphic Encryption with GPUs, Demonstrated by Sub-25ms CNN Inference IEEE Micro

Wonseok Choi, Sangpyo Kim, Jaiyoung Park, Jung Ho Ahn

Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration ISPASS 2026

Wonseok Choi, Hyunah Yu, Jongmin Kim, Hyesung Ji, Jaiyoung Park, Jung Ho Ahn

GPIR: Enabling Practical Private Information Retrieval with GPUs ICS 2026

Hyesung Ji, Hyunah Yu, Jongmin Kim, Wonseok Choi, G. Edward Suh, Jung Ho Ahn

IVE: An Accelerator for Single-Server Private Information Retrieval Using Versatile Processing Elements HPCA 2026

Sangpyo Kim, Hyesung Ji, Jongmin Kim, Wonseok Choi, Jaiyoung Park, Jung Ho Ahn

Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs ASPLOS 2026

Wonseok Choi, Jongmin Kim, Jung Ho Ahn

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory HPCA 2025

Jongmin Kim, Sungmin Yun, Hyesung Ji, Wonseok Choi, Sangpyo Kim, Jung Ho Ahn

Posters

GPU-Driven FHE: Real-Time Private AI Inference Outperforming Custom ASIC NVIDIA GTC 2025 (San Jose, CA)

Wonseok Choi, Jongmin Kim, Jaiyoung Park, Sangpyo Kim, Hyesung Ji, Jung Ho Ahn