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  1. GitHub - scale-snu/ckks-gpu-core

    This repository includes GPU implementations of the core functions for CKKS (e.g., base conversions, NTT, key-switching, etc.) to reproduce the results in the paper Over 100x Faster Bootstrapping in …

  2. GPU Implementations of Three Different Key-Switching Methods for ...

    Jan 26, 2025 · Additionally, for the first time in the literature, we provide implementations of all three methods in GPU for leveled CKKS schemes.

  3. scale-snu/ckks-gpu-core | DeepWiki

    This document provides an introduction to CKKS-GPU-CORE, a GPU-accelerated library implementing core cryptographic operations for the CKKS homomorphic encryption scheme.

  4. The provided Table I offers an insightful comparison be-tween the CKKS operations performed using Microsoft SEAL open source and the proposed method across various types of messages, including …

  5. ckks-gpu-core: CKKS GPU - Gitee

    This repository includes GPU implementations of the core functions for CKKS (e.g., base conversions, NTT, key-switching, etc.) to reproduce the results in the paper Over 100x Faster Bootstrapping in …

  6. FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS

    Jul 7, 2025 · Unlike other existing open-source GPU libraries, FIDESlib provides the first implementation featuring heavily optimized GPU kernels for all CKKS primitives, including bootstrapping. Our library …

  7. Over 100x faster bootstrapping in fully homomorphic encryption through memory-centric optimization with GPUs. TCHES, 2021. [DMPS24] N. Drucker, G. Moshkowich, T. Pelleg, and H. Shaul. BLEACH: …

  8. Acceleration of CKKS Algorithm with GPU-Driven and Data ... - Authorea

    Jul 31, 2024 · Coupled with harnessing the computational prowess of graphics processing units (GPUs), our experimental results showcase remarkable achievements, with processing times reduced by up …

  9. GPU architecture is detailed in Chapter 3, which covers the history of GPUs, hardware fundamentals, programming models, GPU memory organization, and hi-erarchy.

  10. We perform optimizations from instruction level, algorithmic level and application level to accelerate our HE library based on the Cheon, Kim, Kim and Song (CKKS) scheme on Intel GPUs. The …