Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4636
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSengupta, Anirbanen_US
dc.contributor.authorRathlavat, Santoshen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:01Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:01Z-
dc.date.issued2018-
dc.identifier.citationSarkar, P., Sengupta, A., Rathlavat, S., & Naskar, M. K. (2018). A firefly algorithm driven approach for high level synthesis. Paper presented at the Proceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017, , 2018-February 15-19. doi:10.1109/iNIS.2017.13en_US
dc.identifier.isbn9781538613566-
dc.identifier.otherEID(2-s2.0-85052398436)-
dc.identifier.urihttps://doi.org/10.1109/iNIS.2017.13-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4636-
dc.description.abstractHigh Level Synthesis (HLS) for application-specific computer hardware design involves critical decision making steps such as design space exploration (DSE) of resources, scheduling, allocation and binding. Exploring an optimal design solution comprising of array of resource types is a complex problem and requires intelligent decision making in an automated manner. Exploration of an optimal design solution is considered a complex problem as it involves trade-off between contradictory parameters of hardware area and latency amongst numerous candidate design variants. This paper presents the following contributions: (a) novel FA driven DSE methodology during high level synthesis for application specific computing hardware based on area-latency trade-off (b) novel sensitivity analysis that provides optimal tuning of FA control parameters for performing DSE that leads to faster convergence. © 2017 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceProceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017en_US
dc.subjectBioluminescenceen_US
dc.subjectComputer hardwareen_US
dc.subjectConsumer electronicsen_US
dc.subjectControl system analysisen_US
dc.subjectDecision makingen_US
dc.subjectEconomic and social effectsen_US
dc.subjectHardwareen_US
dc.subjectInformation systemsen_US
dc.subjectInformation useen_US
dc.subjectNanoelectronicsen_US
dc.subjectOptimal systemsen_US
dc.subjectOptimizationen_US
dc.subjectSensitivity analysisen_US
dc.subjectApplication specificen_US
dc.subjectComplex problemsen_US
dc.subjectComputing hardwareen_US
dc.subjectControl parametersen_US
dc.subjectDesign space explorationen_US
dc.subjectFaster convergenceen_US
dc.subjectFirefly algorithmsen_US
dc.subjectIntelligent decision makingen_US
dc.subjectHigh level synthesisen_US
dc.titleA firefly algorithm driven approach for high level synthesisen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Computer Science and Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: