Design of application specific processors for the cached FFT algorithm

buir.contributor.orcidAtalar, Abdullah|0000-0002-1903-1240
dc.citation.epageIII 1031en_US
dc.citation.spageIII 1028en_US
dc.contributor.authorAtak, Oğuzhanen_US
dc.contributor.authorAtalar, Abdullahen_US
dc.contributor.authorArıkan, Erdalen_US
dc.contributor.authorIshebabi, H.en_US
dc.contributor.authorKammler, D.en_US
dc.contributor.authorAscheid, G.en_US
dc.contributor.authorMeyr, H.en_US
dc.contributor.authorNicola, M.en_US
dc.contributor.authorMasera, G.en_US
dc.coverage.spatialToulouse, France
dc.date.accessioned2019-03-28T08:34:57Z
dc.date.available2019-03-28T08:34:57Z
dc.date.issued2006-05en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 14-19 May 2006
dc.descriptionConference name: 2006 IEEE International Conference on Acoustics Speech and Signal Processing
dc.description.abstractOrthogonal frequency division multiplexing (OFDM) is a data transmission technique which is used in wired and wireless digital communication systems. In this technique, fast Fourier transformation (FFT) and inverse FFT (IFFT) are kernel processing blocks in an OFDM system, and are used for data (de)modulation. OFDM systems are increasingly required to be flexible to accommodate different standards and operation modes, in addition to being energy-efficient. A trade-off between these two conflicting requirements can be achieved by employing application-specific instruction-set processors (ASIPs). In this paper, two ASIP design concepts for the cached FFT algorithm (CFFT) are presented. A reduction in energy dissipation of up to 25% is achieved compared to an ASIP for the widely used Cooley-Tukey FFT algorithm, which was designed by using the same design methodology and technology. Further, a modified CFFT algorithm which enables a better cache utilization is presented. This modification reduces the energy dissipation by up to 10% compared to the original CFFT implementation.en_US
dc.description.provenanceSubmitted by Taner Korkmaz (tanerkorkmaz@bilkent.edu.tr) on 2019-03-28T08:34:56Z No. of bitstreams: 1 Design_of_Application_Specific_Processors_for_the_Cached_FFT_Algorithm.pdf: 533049 bytes, checksum: 0d01bad146a33c8be28f782056a3ee4f (MD5)en
dc.description.provenanceMade available in DSpace on 2019-03-28T08:34:57Z (GMT). No. of bitstreams: 1 Design_of_Application_Specific_Processors_for_the_Cached_FFT_Algorithm.pdf: 533049 bytes, checksum: 0d01bad146a33c8be28f782056a3ee4f (MD5) Previous issue date: 2006-05en
dc.identifier.doi10.1109/ICASSP.2006.1660832en_US
dc.identifier.eissn2379-190X
dc.identifier.issn1520-6149
dc.identifier.urihttp://hdl.handle.net/11693/50791
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.2006.1660832en_US
dc.source.title2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedingsen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectApplication specific processorsen_US
dc.subjectOFDMen_US
dc.subjectEnergy dissipationen_US
dc.subjectData communicationen_US
dc.subjectWireless communicationen_US
dc.subjectDigital communicationen_US
dc.subjectKernelen_US
dc.subjectEnergy efficiencyen_US
dc.subjectDesign methodologyen_US
dc.titleDesign of application specific processors for the cached FFT algorithmen_US
dc.typeConference Paperen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Design_of_Application_Specific_Processors_for_the_Cached_FFT_Algorithm.pdf
Size:
520.56 KB
Format:
Adobe Portable Document Format
Description:
View / Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: