By Devendra Kumar Sharma, Brajesh Kumar Kaushik, R. K. Sharma (auth.), Natarajan Meghanathan, Nabendu Chaki, Dhinaharan Nagamalai (eds.)

ISBN-10: 3642273076

ISBN-13: 9783642273070

ISBN-10: 3642273084

ISBN-13: 9783642273087

The 3 quantity set LNICST eighty four - LNICST 86 represent the refereed court cases ofthe moment overseas convention on laptop technological know-how and InformationTechnology, CCSIT 2012, held in Bangalore, India, in January 2012. The 70 revised complete papers offered during this quantity have been carefullyreviewed and chosen from quite a few submissions and deal with all significant fields ofthe machine technological know-how and knowledge expertise in theoretical, methodological,and useful or applicative features. The papers function state-of-the-art developmentand present study in desktop technological know-how and engineering.

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Extra info for Advances in Computer Science and Information Technology. Computer Science and Engineering: Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II

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Differential Fault Analysis on AES Key Schedule and Some Countermeasures. , Seberry, J. ) ACISP 2003. LNCS, vol. 2727, pp. 118–129. Springer, Heidelberg (2003) 4. : DFA on AES. , Sowa, A. ) AES 2005. LNCS, vol. 3373, pp. 27–41. Springer, Heidelberg (2005) 5. : Faults, Injection Methods, and Fault Attacks. IEEE Design & Test of Computers 24(6), 544–545 (2007) 6. : A Generalized Method of Differential Fault Attack Against AES Cryptosystem. , Matsui, M. ) CHES 2006. LNCS, vol. 4249, pp. 91–100. Springer, Heidelberg (2006) 7.

This avoids instantiating hardware resources for every operator. The resources can be shared for the operations, which are not scheduled in the same cycle. The resources must be compatible. For example adder is compatible with subtracter and relational operator. When the scheduled operations for a functional unit are completed then those functional units are free and can be shared by other operations. This optimization technique reduces the area and power. The above optimization techniques are already available in High level language compiler.

The key idea is to feed to the scheduler the intentions for sharing functional units and to register in favor of the global optimization goal such as total area, so that the scheduler could generate a schedule that makes the sharing intentions feasible. Performed experiments reveal the fact that minimizing functional unit requirements is scheduling and employing the east number of functional units and registers in binding when compared with our solution promotes a 24 percent reduction on average.

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Advances in Computer Science and Information Technology. Computer Science and Engineering: Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II by Devendra Kumar Sharma, Brajesh Kumar Kaushik, R. K. Sharma (auth.), Natarajan Meghanathan, Nabendu Chaki, Dhinaharan Nagamalai (eds.)


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