By Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.)
Advances in sign and snapshot processing including expanding computing strength are bringing cellular know-how toward functions in numerous domain names like automobile, wellbeing and fitness, telecommunication, multimedia, leisure and so forth. the improvement of those top purposes, regarding a wide variety of algorithms (e.g. sign, snapshot, video, 3D, verbal exchange, cryptography) is classically divided into 3 consecutive steps: a theoretical learn of the algorithms, a examine of the objective structure, and at last the implementation. this sort of linear layout movement is attaining its limits as a result of severe strain on layout cycle and strict functionality constraints. The method, referred to as Algorithm-Architecture Matching, goals to leverage layout flows with a simultaneous learn of either algorithmic and architectural concerns, taking into consideration a number of layout constraints, in addition to set of rules and structure optimizations, that couldn’t be completed in a different way if thought of individually. Introducing new layout methodologies is essential whilst dealing with the recent rising functions as for instance complex cellular communique or snap shots utilizing sub-micron production applied sciences or 3D-Integrated Circuits. This variety types a driver for the long run evolutions of embedded approach designs methodologies.
The major expectancies from process designers’ viewpoint are on the topic of equipment, instruments and architectures helping program complexity and layout cycle relief. complicated optimizations are necessary to meet layout constraints and to let a large recognition of those new technologies.
Algorithm-Architecture Matching for sign and photo Processing offers a suite of chosen contributions from either and academia, addressing varied facets of Algorithm-Architecture Matching technique starting from sensors to architectures layout. The scope of this booklet displays the variety of capability algorithms, together with sign, communique, snapshot, video, 3D-Graphics applied onto a variety of architectures from FPGA to multiprocessor structures. a number of synthesis and source administration concepts leveraging layout optimizations also are defined and utilized to various algorithms.
Algorithm-Architecture Matching for sign and snapshot Processing might be on every one designer’s and EDA software developer’s shelf, in addition to on people with an curiosity in electronic method 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
To sum up everything, let us consider that a ray propagation state is fully characterized by the variables of Listing 1. The “parameters increments” are the differences between the parameters of the intersection points between the ray and two opposite faces of our cell, for each of the three possible such pairs of faces. The absolute position of the current cell is given in units corresponding to the size of cells located at a given maximum depth (the constant max_depth). If this depth is 6, for instance, the maximum detail level of a 4 × 4 × 4 recursive grid will be the same as that of a 40963 uniform grid.
Therefore, we carry out the following experiment. We apply the same lossless image compression scheme on the image “lena”. The only difference among these schemes is the initialization of the probability estimation. The comparison of compression ratios 22 X. Chen et al. 140 and escape count is shown in Table 5. Although the compression ratios do not vary dramatically under different initialization methods, it can help us with understanding the problem. When the trees are initialized as 0, despite the large amount of escape happening, it performs best because it ignores those symbols that never or rarely occur and thus reduces code space.
7, aims at caching a part of the recursive grid by exploiting the spatial coherency of references. Furthermore, it provides a virtual interface to the processing unit. 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.