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dc.contributor.authorSun, Yang
Amiri, Kiarash
Brogioli, Michael
Cavallaro, Joseph R. 2012-06-06T15:03:00Z 2012-06-06T15:03:00Z 2010-01-01
dc.description.abstract For computation-intensive digital signal processing algorithms, complexity is exceeding the processing capabilities of general-purpose digital signal processors (DSPs). In some of these applications, DSP hardware accelerators have been widely used to off-load a variety of algorithms from the main DSP host, including FFT, FIR/IIR filters, multiple-input multiple-output (MIMO) detectors, and error correction codes (Viterbi, Turbo, LDPC) decoders. Given power and cost considerations, simply implementing these computationally complex parallel algorithms with high-speed general-purpose DSP processor is not very efficient. However, not all DSP algorithms are appropriate for off-loading to a hardware accelerator. First, these algorithms should have data-parallel computations and repeated operations that are amenable to hardware implementation. Second, these algorithms should have a deterministic dataflow graph that maps to parallel datapaths. The accelerators that we consider are mostly coarse grain to better deal with streaming data transfer for achieving both high performance and low power. In this chapter, we focus on some of the basic and advanced digital signal processing algorithms for communications and cover major examples of DSP accelerators for communications.
dc.language.iso eng
dc.publisher Springer Science+Business Media, LLC
dc.title Application-Specific Accelerators for Communications
dc.type Book chapter Center for Multimedia Communication
dc.citation.volumeNumber 2010
dc.citation.issueNumber Part 2
dc.type.dcmi Text
dc.type.dcmi Text
dc.citation.firstpage 329
dc.citation.lastpage 362
dc.identifier.citation Y. Sun, K. Amiri, M. Brogioli and J. R. Cavallaro, "Application-Specific Accelerators for Communications," vol. 2010, no. Part 2, 2010.

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  • CMC Publications [268]
    Publications by Rice Faculty and graduate students in multimedia communications
  • ECE Publications [1225]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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