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https://hdl.handle.net/10356/79431
Title: | Energy efficient in-memory AES encryption based on nonvolatile domain-wall nanowire | Authors: | Wang, Yuhao Yu, Hao Sylvester, Dennis Kong, Pingfan |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Nanoelectronics | Issue Date: | 2014 | Source: | Wang, Y., Yu, H., Sylvester, D., & Kong, P. (2014). Energy efficient in-memory AES encryption based on nonvolatile domain-wall nanowire. Design, Automation and Test in Europe Conference and Exhibition, 1-4. | metadata.dc.contributor.conference: | Design, Automation and Test in Europe Conference and Exhibition (17th : 2014 : Dresden) | Abstract: | The widely applied Advanced Encryption Standard (AES) encryption algorithm is critical in secure big-data storage. Data oriented applications have imposed high throughput and low power, i.e., energy efficiency (J/bit), requirements when applying AES encryption. This paper explores an in-memory AES encryption using the newly introduced domain-wall nanowire. We show that all AES operations can be fully mapped to a logic-in-memory architecture by non-volatile domain-wall nanowire, called DW-AES. The experimental results show that DW-AES can achieve the best energy efficiency of 24 pJ/bit, which is 9X and 6.5X times better than CMOS ASIC and memristive CMOL implementations, respectively. Under the same area budget, the proposed DW-AES exhibits 6.4X higher throughput and 29% power saving compared to a CMOS ASIC implementation; 1.7X higher throughput and 74% power reduction compared to a memristive CMOL implementation. | URI: | https://hdl.handle.net/10356/79431 http://hdl.handle.net/10220/25172 |
DOI: | 10.7873/DATE.2014.196 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.7873/DATE.2014.196]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Conference Papers |
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