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Liukun Yu

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Book Open access Jul 2026

FluxZK: Scalable and Efficient Zero-Knowledge Proof Computation via GPU Acceleration

This work proposes a series of optimizations for these two kernels, including computation-transfer pipelining, load balancing, and memory access fusion, achieving 1.97 × to 2.16 × proof generation speedup over a state-of-the-art open source GPU acceleration library.

Xinwei Qiang, Liukun Yu, Xiyu Wang et al. · 0 citations

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