Download e-book for iPad: Algorithm-Architecture Matching for Signal and Image by Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez

By Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.)

ISBN-10: 9048199646

ISBN-13: 9789048199648

ISBN-10: 9048199654

ISBN-13: 9789048199655

Advances in sign and photograph processing including expanding computing strength are bringing cellular know-how toward purposes in a number of domain names like car, future health, telecommunication, multimedia, leisure and so on. the advance of those prime purposes, regarding a wide range of algorithms (e.g. sign, photograph, video, 3D, conversation, cryptography) is classically divided into 3 consecutive steps: a theoretical learn of the algorithms, a learn of the objective structure, and at last the implementation. the sort of linear layout move is attaining its limits because of excessive strain on layout cycle and strict functionality constraints. The strategy, referred to as Algorithm-Architecture Matching, goals to leverage layout flows with a simultaneous learn of either algorithmic and architectural matters, considering a number of layout constraints, in addition to set of rules and structure optimizations, that couldn’t be completed another way if thought of individually. Introducing new layout methodologies is vital while dealing with the hot rising functions as for instance complicated cellular verbal exchange or pics utilizing sub-micron production applied sciences or 3D-Integrated Circuits. This variety types a motive force for the long run evolutions of embedded approach designs methodologies.

The major expectancies from procedure designers’ perspective are with regards to tools, instruments and architectures assisting program complexity and layout cycle relief. complicated optimizations are necessary to meet layout constraints and to let a large popularity of those new technologies.

Algorithm-Architecture Matching for sign and photo Processing provides a suite of chosen contributions from either and academia, addressing various facets of Algorithm-Architecture Matching strategy starting from sensors to architectures layout. The scope of this booklet displays the range of capability algorithms, together with sign, conversation, picture, video, 3D-Graphics carried out onto a variety of architectures from FPGA to multiprocessor platforms. numerous synthesis and source administration thoughts leveraging layout optimizations also are defined and utilized to various algorithms.

Algorithm-Architecture Matching for sign and photograph Processing might be on each one designer’s and EDA device developer’s shelf, in addition to on people with an curiosity in electronic process layout optimizations facing complicated algorithms.

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Additional info for Algorithm-Architecture Matching for Signal and Image Processing: Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009

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Figure 2 presents an overview of a whole rendering architecture as implemented on a prototyping board. The traversal unit and the cache were designed and synthesized with the Xilinx Virtex 4 technology as a target. Depending of the number of units and the size of the FPGA, the results were obtained either by actual on-board runs, or CABA simulations. 4 The nD-AP Cache The 3D-AP Cache is an instance of the nD-AP Cache which aims at caching multidimensional data as originally described in [15]. Also it performs pre-fetching by estimating the future zones of data the processing unit is supposed to fetch.

This smallest parameter tl (where l ∈ {x, y, z}) is updated by being added tl , the parameter difference between the intersection points of the ray and the two faces of a cell orthogonal to a given axis l. In our example, it comes the next cell is the one just above the dark gray one, and the new face intersection parameters are (tx , ty , tz ) ← (tx , ty + ty , tz ). The tx and Fig. 1 Geometrical meaning of the variables used by the DDA algorithm 30 T. Toczek and S. Mancini ty parameters are computed once for all for a given ray at the initialization on the DDA algorithm.

3 through 6, we present our architecture, which includes the above mentioned cache and traversal pipelines. Finally, we discuss its performances in Sect. 7 and conclude in Sect. 8. 1 Dataset Traversal The iterative parametric methods for scene traversal are the most popular ones. They are conceptually easy and their implementation is often efficient. Most of them are variants of the DDA (Digital Differential Analyzer) algorithm adapted to ray tracing [2], which parametrizes the ray and performs all the computations in the parameter space thereafter.

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Algorithm-Architecture Matching for Signal and Image Processing: Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009 by Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.)

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