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

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

Advances in sign and photograph processing including expanding computing energy are bringing cellular know-how towards functions in quite a few domain names like car, healthiness, telecommunication, multimedia, leisure etc. the advance of those top purposes, concerning a wide range of algorithms (e.g. sign, picture, 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 stream is achieving its limits as a result of excessive strain on layout cycle and strict functionality constraints. The process, known as Algorithm-Architecture Matching, goals to leverage layout flows with a simultaneous examine of either algorithmic and architectural concerns, making an allowance for a number of layout constraints, in addition to set of rules and structure optimizations, that couldn’t be accomplished another way if thought of individually. Introducing new layout methodologies is obligatory whilst dealing with the recent rising purposes as for instance complex cellular verbal exchange or pix utilizing sub-micron production applied sciences or 3D-Integrated Circuits. This range types a motive force for the longer term evolutions of embedded process designs methodologies.

The major expectancies from approach designers’ perspective are concerning tools, instruments and architectures aiding software complexity and layout cycle aid. complicated optimizations are necessary to meet layout constraints and to permit a large popularity of those new technologies.

Algorithm-Architecture Matching for sign and photograph Processing provides a set of chosen contributions from either and academia, addressing varied facets of Algorithm-Architecture Matching procedure starting from sensors to architectures layout. The scope of this booklet displays the variety of strength algorithms, together with sign, verbal exchange, photo, video, 3D-Graphics applied onto numerous architectures from FPGA to multiprocessor structures. numerous synthesis and source administration innovations leveraging layout optimizations also are defined and utilized to various algorithms.

Algorithm-Architecture Matching for sign and picture Processing can be on every one designer’s and EDA instrument developer’s shelf, in addition to on people with an curiosity in electronic approach layout optimizations facing complicated algorithms.

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Read or Download Algorithm-Architecture Matching for Signal and Image Processing: Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009 PDF

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

Example text

This means that the processing unit issues a 3D coordinate (x, y, z) together with a resolution level and the cache provides the corresponding datum, preventing the processing unit to manage the tree structure. The RG cache uses the nD-AP Cache as a basic block. The proposed strategy is to cache each level of resolution with an nD-AP Cache and to perform prefetching in the tree. Indeed, when a reference occurs, it is likely that the next reference is at a close coordinate, either at the same, upper or lower resolution.

As a consequence, the nD-AP Cache is slightly modified to allow the TM to read an nD-AP Cache concurrently with reads at the processing unit interface. Also, the cached zone at level n has to be inside the cached zone a level n − 1 to maintain cache coherency. Without this constraint, when the cache n would request a part out of the zone in the n − 1 cache, it would be too slow to get the data by traversing the tree from the root node. Each of the cache is optimized to manage data at its level of resolution.

With no loss of generality, we choose the later direct volume representation as our performance case study. This chapter demonstrates the usefulness of the nD-AP Cache architecture (nDimensional Adaptive and Predictive Cache) [12, 15] and the associated methodology for some ray-shooting based applications. The results demonstrate the versatility of the nD-AP Cache, which performs well for the uniform as well as the recursive grid traversal. To tackle the later aspect, we used a set of small communicating nD-AP Caches to cache part of the scene tree.

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