Accelerating RSA with Fine-Grained Parallelism Using GPU-Reference-Cited by-同舟云学术

Accelerating RSA with Fine-Grained Parallelism Using GPU

Published:2015 Issue: Volume: Page:454-468
ISSN:0302-9743
Container-title:Information Security Practice and Experience
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Author:

Yang Yang,Guan Zhi,Sun Huiping,Chen Zhong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-17533-1_31

Reference22 articles.

1. NVIDIA kepler-GK110-architecture whitepaper, http://www.nvidia.com/object/nvidia-kepler.html

2. Netcrafts SSL survey. Tech. rep. (2013), http://news.netcraft.com/SSL-survey

3. CUDA c programming guide 6.5 (August 2014), http://docs.nvidia.com/cuda/cuda-c-programming-guide/

4. Barker, E., Roginsky, A.: Transitions: Recommendation for transitioning the use of cryptographic algorithms and key lengths. NIST Special Publication 800, 131 (2011), http://www.gocs.eu/pages/fachberichte/archiv/075-sp800-131A.pdf

5. Lecture Notes in Computer Science;S. Cui,2014

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