Show simple item record

dc.contributor.authorDamaj, Issam
dc.contributor.authorKasbah, S.
dc.date.accessioned2018-11-04T10:06:07Z
dc.date.available2018-11-04T10:06:07Z
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0045790617315653
dc.identifier.urihttp://hdl.handle.net/11675/5035
dc.description.abstractWith the richness of present-day hardware architectures, tightening the synergy between hardware and software has attracted a great attention. The interest in unified approaches paved the way for newborn frameworks that target hardware and software co-design. This paper confirms that a unified statistical framework can successfully classify algorithms based on a combination of the heterogeneous characteristics of their hardware and software implementations. The proposed framework produces customizable indicators for any hybridization of processing systems and can be contextualized for any area of application. The framework is used to develop the Lightness Indicator System (LIS) as a case-study that targets a set of cryptographic algorithms that are known in the literature to be tiny and light. The LIS targets state-of-the-art multi-core processors and high-end Field Programmable Gate Arrays (FPGAs). The presented work includes a generic benchmark model that aids the clear presentation of the framework and extensive performance analysis and evaluation.
dc.publisherComputers & Electrical Engineering, Elsevier
dc.titleAn Analysis Framework for Hardware and Software Implementations with Applications from Cryptography
dc.typeJournal Article


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record