Boosting Secure AI: HAWK Accelerator and FHEFusion Compiler Break New Ground

This article highlights two cutting‑edge works from Ant Group’s research team—HAWK, a fixed‑word key decomposition switching accelerator that overcomes hardware challenges for FHE, and FHEFusion, a compiler framework that introduces operator fusion to dramatically speed CKKS‑based DNN inference—showcasing their designs, optimizations, and experimental gains.

Compiler OptimizationDNN inferenceFully Homomorphic Encryption

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Boosting Secure AI: HAWK Accelerator and FHEFusion Compiler Break New Ground

AntTech

May 20, 2025 · Information Security

FAST and Neo: New Hardware Accelerators for Scalable Fully Homomorphic Encryption

The article reviews two recent ISCA 2025 papers—FAST and Neo—that introduce hardware and GPU‑based accelerators employing hoisting, KLSS, and Tensor Core optimizations to significantly boost the performance of fully homomorphic encryption workloads.

Cryptographic OptimizationFully Homomorphic EncryptionGPU computing

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FAST and Neo: New Hardware Accelerators for Scalable Fully Homomorphic Encryption

AntTech

Mar 19, 2025 · Artificial Intelligence

Award-Winning HPCA 2025 Papers on Near‑DRAM Processing (UniNDP) and GPU‑Accelerated Fully Homomorphic Encryption (WarpDrive)

At HPCA 2025, two standout papers—UniNDP, a unified compilation and simulation tool for near‑DRAM processing architectures, and WarpDrive, a GPU‑based fully homomorphic encryption accelerator leveraging Tensor and CUDA cores—demonstrate significant performance gains for AI workloads and privacy‑preserving computation.

AI accelerationFully Homomorphic EncryptionGPU

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Award-Winning HPCA 2025 Papers on Near‑DRAM Processing (UniNDP) and GPU‑Accelerated Fully Homomorphic Encryption (WarpDrive)

AntTech

Nov 16, 2024 · Information Security

WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores Accepted at HPCA 2025

Ant Group’s Computing Systems Lab announced that its GPU‑accelerated fully homomorphic encryption framework WarpDrive, which exploits Tensor and CUDA cores for high‑throughput NTT operations and parallel kernel designs, has been accepted as a paper at the IEEE HPCA 2025 conference.

CUDAFully Homomorphic EncryptionGPU

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WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores Accepted at HPCA 2025

DataFunSummit

Jul 19, 2022 · Information Security

Fully Homomorphic Encryption: Origins, Development, Applications, and Engineering Challenges in Privacy Computing

This article explores the limitations of current non‑fully homomorphic privacy computing techniques, traces the evolution of fully homomorphic encryption, examines its practical applications in finance and machine learning, and discusses engineering challenges, protocol choices, and implementation considerations for secure data processing.

Financial ApplicationsFully Homomorphic EncryptionPrivacy Computing

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Fully Homomorphic Encryption: Origins, Development, Applications, and Engineering Challenges in Privacy Computing