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FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption

IEEE Transactions on Emerging Topics in Computing(2023)SCI 2区

University of California San Diego

Cited 0|Views32
Abstract
Fully Homomorphic Encryption (FHE) is a technique that allows arbitrary computations to be performed on encrypted data without the need for decryption, making it ideal for securing many emerging applications. However, FHE computation is significantly slower than computation on plain data due to the increase in data size after encryption. Processing In-Memory (PIM) is a promising technology that can accelerate data-intensive workloads with extensive parallelism. However, FHE is challenging for PIM acceleration due to the long-bitwidth multiplications and complex data movements involved. We propose a PIM-based FHE accelerator, FHEmem, which exploits a novel processing in-memory architecture to achieve high-throughput and efficient acceleration for FHE. We propose an optimized end-to-end processing flow, from low-level hardware processing to high-level application mapping, that fully exploits the high throughput of FHEmem hardware. Our evaluation shows FHEmem achieves significant speedup and efficiency improvement over state-of-the-art FHE accelerators.
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Cryptography,domain-specific acceleration,fully homomorphic encryption,processing in-memory
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要点】:论文提出了FHEmem,一种基于Processing In-Memory技术的全同态加密加速器,实现了高吞吐量和效率的提升。

方法】:通过优化从底层硬件处理到高层应用映射的端到端处理流程,充分发挥了FHEmem硬件的高吞吐量特性。

实验】:作者使用FHEmem进行了实验评估,结果显示其在速度和效率上显著优于现有的全同态加密加速器,但具体数据集名称未提及。