cuHE: A Homomorphic Encryption Accelerator Library
By Wei Dai, Berk Sunar. 2015
159 citations recorded by the source corpus.
Subfields: Artificial Intelligence
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In Artificial Intelligence
Citations in the corpus
- HEAX: An Architecture for Computing on Encrypted Data (2019, methodology): “r multiplier and a Barrett modular reduction are proposed that can accelerate HE operations by 11×. GPU-based Acceleration. GPU is an alternative computing platform to accelerate evaluation functions [6, 21, 24, 42, 48, 59]. Wang et al. [59] have proposed the first GPU acceleration of FHE that targe”
- Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference (2020, methodology): “NTT has been ported to FPGAs [48], [52] and GPUs [2], [3], [17] to speedup polynomial multiplication.”
- HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud (2019, methodology): “Graphics Processing Unit (GPU) is an alternative computing platform to accelerate evaluation in HE [25, 22, 57, 5, 50, 72].”
- A Custom Accelerator for Homomorphic Encryption Applications (2017, methodology): “28 s / Prince block Prince [30] NTRU-FHE NVIDIA GTX 690 32 ms / Prince block”