Pipelonk: Accelerating End-to-End Zero-Knowledge Proof Generation on GPUs for PLONK-Based Protocols

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Authors: Zhiyuan Zhang, Yanxin Cai, Wenhao Yin, Xueyu Wu, Yi Wang, Lei Ju, Zhuoran Ji
Cited by: 1
References: 21

Abstract

Zero-knowledge proofs (ZKPs) are cryptographic protocols that allow verification of statements without disclosing the underlying information. Among them, PLONK-based ZKPs are particularly notable for offering succinct, non-interactive proofs of knowledge with a universal trusted setup, leading to widespread adoption in blockchain and cryptocurrency applications. Nonetheless, their broader deployment is hindered by long proof-generation times and substantial memory demands. While GPUs can accelerate these computations, their limited memory capacity introduces significant challenges for efficient end-to-end proof generation.

Fields of Study & Subjects

Cryptography and Data Security Advanced Authentication Protocols Security Distributed systems and fault tolerance

Publication details

Journal / source
Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
Publisher
ACM
Pages
439–451
Publication date
28 January 2026