A heterogeneous multiprocessor architecture for low-power audio signal processing applications

Ozgun Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, Lars Skovby Nielsen

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    Abstract

    This paper describes a low-power programmable DSP architecture that targets audio signal processing. The architecture can be characterized as a heterogeneous multiprocessor consisting of small and simple instruction set processors called mini-cores that communicate using message passing. The processors are tailored for different classes of filtering algorithms (FIR, IIR, N-LMS etc.), and in a typical system the communication among processors occurs at the sampling rate only. The processors are parameterized in word-size, memory-size, etc. and can be instantiated according to the needs of the application at hand using a normal synthesis based ASIC design flow. To give an impression of the size of a processor we mention that one of the FIR processors in a prototype design has 16 instructions, a 32 word×16 bit program memory, a 64 word×16 bit data memory and a 25 word×16 bit coefficient memory. Early results obtained from the design of a prototype chip containing filter processors for a hearing aid application, indicate a power consumption that is an order of magnitude better than current state of the art low-power audio DSPs implemented using full-custom techniques. This is due to: (1) the small size of the processors and (2) a smaller instruction count for a given task.
    Original languageEnglish
    Title of host publicationProceedings on IEEE Computer Society Workshop
    Publication date2001
    Pages47-53
    ISBN (Print)0-7695-1056-6
    DOIs
    Publication statusPublished - 2001
    EventIEEE Computer Society Workshop - Orlando, FL
    Duration: 1 Jan 2001 → …
    Conference number: 2001

    Conference

    ConferenceIEEE Computer Society Workshop
    Number2001
    CityOrlando, FL
    Period01/01/2001 → …

    Bibliographical note

    Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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