IDEA Algorithm on GPU using CUDA |
Author(s): |
| Aditya Supugade , College Of Engineering Pune, India.; Jignesh Patil, College Of Engineering Pune, India.; Pratik Suryawanshi, College Of Engineering Pune, India.; Sanket Dige, College Of Engineering Pune, India.; Mohseen Mukaddam, College Of Engineering Pune, India. |
Keywords: |
| GPU, Network Security |
Abstract |
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To provide network security, various encryption algorithms can be used. These algorithms can work along with key provided for the purpose of encryption and decryption. Longer the key size, better the security. But to encrypt and decrypt data with longer keys, more time is required for computation. The block ciphers, when subjected to parallelism offered by CUDA, shows high speedups compared to CPUs because of the absence of data dependency in the following data blocks. For optimizing block cipher the advantage of threaded execution of parallelizable code is taken. This method has advantage in the upgradation on CUDA, because a GPU has relatively large amount of memories for storing data. |
Other Details |
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Paper ID: IJSRDV3I31325 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 2726-2729 |
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