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Optimal automatic hardware synthesis for signal processing algorithms

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dc.contributor.author Koziris, Nectarios en
dc.contributor.author Economakos, George en
dc.contributor.author Andronikos, Theodore en
dc.contributor.author Papakonstantinou, George en
dc.contributor.author Tsanakas, Panayotis en
dc.date.accessioned 2014-03-01T02:41:29Z
dc.date.available 2014-03-01T02:41:29Z
dc.date.issued 1997 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30484
dc.subject Automatic Detection en
dc.subject Design Environment en
dc.subject Digital Signal Processing en
dc.subject Hardware Synthesis en
dc.subject Nested Loops en
dc.subject Signal Processing en
dc.subject Software Package en
dc.subject Vlsi Architecture en
dc.subject.other Algorithms en
dc.subject.other Computational complexity en
dc.subject.other Computer architecture en
dc.subject.other Computer hardware description languages en
dc.subject.other Digital signal processing en
dc.subject.other Electric network synthesis en
dc.subject.other Parallel processing systems en
dc.subject.other Resource allocation en
dc.subject.other Optimal automatic hardware synthesis en
dc.subject.other VLSI circuits en
dc.title Optimal automatic hardware synthesis for signal processing algorithms en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICDSP.1997.628535 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICDSP.1997.628535 en
heal.publicationDate 1997 en
heal.abstract This paper presents a complete methodology for the automatic synthesis of VLSI architectures used in digital signal processing. Most signal processing algorithms have the form of an n-dimensional nested loop with unit uniform loop carried dependencies. We model such algorithms with generalized UET grids. We calculate the optimal makespan for the generalized UET grids and then we establish the minimum number of systolic cells required achieving the optimal makespan. We present a complete methodology for the hardware synthesis of the resulting architecture, based on VHDL. This methodology automatically detects all necessary computation and communication elements and produces optimal layouts. The complexity of our proposed scheduling policy is completely independent of the size of the nested loop and depends only on its dimension, thus being the most efficient (in terms of complexity) known to us. All these methods were implemented and incorporated in an integrated software package which provides the designer with a powerful parallel design environment, from high level signal processing algorithmic specifications to low-level (i.e., actual layouts) optimal implementation. The evaluation was performed using well-known algorithms from signal processing. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName International Conference on Digital Signal Processing, DSP en
dc.identifier.doi 10.1109/ICDSP.1997.628535 en
dc.identifier.volume 2 en
dc.identifier.spage 1011 en
dc.identifier.epage 1014 en


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