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https://dx.doi.org/10.4230/dag...
Article . 2006
License: CC BY
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Efficient architectures for streaming applications

Authors: Smit, Gerard J.M.; Kokkeler, Andre B. J.; Wolkotte, Pascal T.; van de Burgwal, Marcel D.; Heysters, Paul M.;

Efficient architectures for streaming applications

Abstract

This presentation will focus on algorithms and reconfigurable tiled architectures for streaming DSP applications. The tile concept will not only be applied on chip level but also on board-level and system-level. The tile concept has a number of advantages: (1) depending on the requirements more or less tiles can be switched on/off, (2) the tile structure fits well to future IC process technologies, more tiles will be available in advanced process technologies, but the complexity per tile stays the same, (3) the tile concept is fault tolerant, faulty tiles can be discarded and (4) tiles can be configured in parallel. Because processing and memory is combined in the tiles, tasks can be executed efficiently on tiles (locality of reference). There are a number of application domains that can be considered as streaming DSP applications: for example wireless baseband processing (for HiperLAN/2, WiMax, DAB, DRM, DVB), multimedia processing (e.g. MPEG, MP3 coding/decoding), medical image processing, color image processing, sensor processing (e.g. remote surveillance cameras) and phased array radar systems. In this presentation the key characteristics of streaming DSP applications are highlighted, and the characteristics of the processing architectures to efficiently support these types of applications are addressed.

Countries
Germany, Netherlands
Keywords

Reconfigurable streaming efficient, CAES-EEA: Efficient Embedded Architectures, EC Grant Agreement nr.: FP6/001908, 004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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