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Multi-dimensional interleaving for time-and-memory design optimization

Published: 02 October 1995 Publication History

Abstract

This paper presents a novel optimization technique for the design of application specific integrated circuits dedicated to perform iterative or recursive time-critical sections of multi-dimensional problems, such as image processing applications. These sections are modeled as cyclic multi-dimensional data flow graphs (MDFGs). This new technique, called multi-dimensional interleaving consists of an expansion and compression of the iteration space while considering memory requirements. It guarantees that all functional elements of a circuitry can be executed simultaneously, and no additional memory queues proportional to the problem size are required. The algorithm runs in O(|E|) time, where E is the set of edges of the MDFG representing the circuit.

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  1. Multi-dimensional interleaving for time-and-memory design optimization

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    cover image Guide Proceedings
    ICCD '95: Proceedings of the 1995 International Conference on Computer Design: VLSI in Computers and Processors
    October 1995
    448 pages
    ISBN:0818671653

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    IEEE Computer Society

    United States

    Publication History

    Published: 02 October 1995

    Author Tags

    1. application specific integrated circuits
    2. circuit CAD
    3. digital filters
    4. image processing
    5. iteration space
    6. multi-dimensional problems
    7. multidimensional interleaving
    8. optimisation
    9. optimization technique
    10. recursive time-critical sections
    11. time-and-memory design optimization

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