Accelerating zk-SNARK with Group and Zone Optimization on GPU-Reference-Cited by-同舟云学术

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Accelerating zk-SNARK with Group and Zone Optimization on GPU

Published:2023-12-17 Issue: Volume:953 Page:24-31
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
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Author:

Shen Runnan¹,Wang Liang¹,Luo Haotian²,Yang Rui¹,Yang Jinqian¹,Wang Jinquan¹,Sun Qiancheng²,Xiao Limin¹,Dong Jin³

Affiliation:

1. Beihang University,State Key Laboratory of Complex Key Software Environment,Beijing,China,100191

2. Beihang University,School of Computer Science and Engineering,Beijing,China,100191

3. Beijing Academy of Blockchain and Edge Computing (BABEC),Beijing,China,100190

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476190.pdf?arnumber=10476190

Reference23 articles.

1. The knowledge complexity of interactive proof-systems

2. libsnark: a C++ Library for zkSNARK Proofs,2017

3. bellman: A Crate for Building zk-SNARK Circuits,2017

4. On the Size of Pairing-Based Non-interactive Arguments

5. cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs

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