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A General Hardware/Software Co-design Methodology for Embedded Signal Processing and Multimedia Workloads

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dc.contributor.author Brogioli, Michael
Radosavljevic, Predrag
Cavallaro, Joseph R.
dc.date.accessioned 2012-06-12T21:29:21Z
dc.date.available 2012-06-12T21:29:21Z
dc.date.issued 2006-11-01
dc.identifier.other http://scholar.google.com/scholar?cluster=9991041847807109623&hl=en&as_sdt=0,44
dc.identifier.uri http://hdl.handle.net/1911/64254
dc.description.abstract This paper presents a hardware/software co-design methodology for partitioning real-time embedded multimedia applications between software programmable DSPs and hardware based FPGA coprocessors. By following a strict set of guidelines, the input application is partitioned between software executing on a programmable DSP and hardware based FPGA implementation to alleviate computational bottlenecks in modern VLIW style DSP architectures used in embedded systems. This methodology is applied to channel estimation firmware in 3.5G wireless receivers, as well as software based H.263 video decoders. As much as an 11x improvement in runtime performance can be achieved by partitioning performance critical software kernels in these workloads into a hardware based FPGA implementation executing in tandem with the existing host DSP.
dc.description.sponsorship Nokia Inc.
dc.description.sponsorship Texas Instruments
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.publisher IEEE
dc.subject FPGA
DSP
Embedded systems
Wireless
dc.title A General Hardware/Software Co-design Methodology for Embedded Signal Processing and Multimedia Workloads
dc.type Conference Paper
dc.contributor.center Center for Multimedia Communication
dc.citation.pageNumber 1486-1490
dc.citation.location Pacific Grove, CA
dc.citation.conferenceName 40th Asilomar Conference on Signals, Systems and Computers
dc.citation.conferenceDate 2006
dc.type.dcmi Text
dc.identifier.citation M. Brogioli, P. Radosavljevic and J. R. Cavallaro,"A General Hardware/Software Co-design Methodology for Embedded Signal Processing and Multimedia Workloads," in 40th Asilomar Conference on Signals, Systems and Computers, 2006, pp. 1486-1490.

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  • ECE Publications [1032 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275 items]
    Publications by Rice Faculty and graduate students in multimedia communications