Optimized CPU–GPU collaborative acceleration of zero-knowledge proof for confidential transactions-Reference-Cited by-同舟云学术

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Optimized CPU–GPU collaborative acceleration of zero-knowledge proof for confidential transactions

Published:2023-02 Issue: Volume:135 Page:102807
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Huang Ying,Zheng Xiaoying^ORCID,Zhu Yongxin

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference46 articles.

1. A dynamic scalable blockchain based communication architecture for IoT;Qiu,2018

2. Blockchain technology overview;Yaga,2019

3. Acceleration of anomaly detection in blockchain using in-gpu cache;Morishima,2018

4. Security and privacy issues: A survey on FinTech;Gai,2016

5. Evaluating user privacy in bitcoin;Androulaki,2013

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient and Universal Merkle Tree Inclusion Proofs via OR Aggregation;Cryptography;2024-07-05

2. Accelerating Merkle Patricia Trie with GPU;Proceedings of the VLDB Endowment;2024-04

3. GPU and ASIC as a Boost for High Performance Computing;Series in BioEngineering;2024

4. Guest editorial: Special issue on edge computing optimization and security;Journal of Systems Architecture;2023-12

5. I/O-efficient GPU-based acceleration of coherent dedispersion for pulsar observation;Journal of Systems Architecture;2023-09

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