BitPacker: Enabling High Arithmetic Efficiency in Fully Homomorphic Encryption Accelerators
Nikola Samardzic, Daniel Sánchez
2024年份
19被引次数
6顶会引用
摘要
Fully Homomorphic Encryption (FHE) enables computing directly on encrypted data. Though FHE is slow on a CPU, recent hardware accelerators compensate most of FHE's overheads, enabling real-time performance in complex programs like deep neural networks. However, the state-of-the-art FHE scheme, CKKS, is inefficient on accelerators. CKKS represents encrypted data using integers of widely different sizes (typically 30 to 60 bits). This leaves many bits unused in registers and arithmetic datapaths. This overhead is minor in CPUs, but accelerators are dominated by multiplications, so poor utilization causes large area and energy overheads.
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- Leveraging Discrete CKKS to Bootstrap in High PrecisionHyeongmin Choe, Jaehyung Kim, Damien Stehlé, Elias SuvantoCCS 2025
- Fenc2: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragment EncodingRan Ran, Zhaoting Gong, Nuo Xu, Yuanchao Xu 等ISCA 2026
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