TEGRAS: An Efficient Tegra Embedded GPU-Based RSA Acceleration Server-Reference-Cited by-同舟云学术

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TEGRAS: An Efficient Tegra Embedded GPU-Based RSA Acceleration Server

Published:2022-09-15 Issue:18 Volume:9 Page:16850-16861
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Dong Jiankuo¹^ORCID,Fan Guang²^ORCID,Zheng Fangyu²^ORCID,Mao Tianyu¹,Xiao Fu¹^ORCID,Lin Jingqiang³^ORCID

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. School of Cyber Security, University of Science and Technology of China, Hefei, China

Funder

National Key Research and Development Program of China

CCF-Tencent Open Fund

National Natural Science Foundation of China

Guangxi Key Laboratory of Cryptography and Information Security

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9881201/09716069.pdf?arnumber=9716069

Reference36 articles.

1. Compact FPGA hardware architecture for public key encryption in embedded devices

2. Faster Modular Exponentiation Using Double Precision Floating Point Arithmetic on the GPU

3. Pushing the Performance Envelope of Modular Exponentiation Across Multiple Generations of GPUs

4. PhiOpenSSL: Using the Xeon Phi Coprocessor for Efficient Cryptographic Calculations

5. High-Throughput Modular Multiplication and Exponentiation Algorithms Using Multibit-Scan–Multibit-Shift Technique

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1. UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework;IEEE Access;2024

2. EG-STC: An Efficient Secure Two-Party Computation Scheme Based on Embedded GPU for Artificial Intelligence Systems;Computers, Materials & Continua;2024

3. Special Issue on Knowledge- and Service-Oriented Industrial Internet of Things: Architectures, Challenges, and Methodologies;IEEE Internet of Things Journal;2022-09-15

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