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 expertise towards purposes in numerous domain names like automobile, wellbeing and fitness, telecommunication, multimedia, leisure etc. the improvement of those best functions, regarding a wide range of algorithms (e.g. sign, photo, video, 3D, communique, cryptography) is classically divided into 3 consecutive steps: a theoretical research of the algorithms, a examine of the objective structure, and eventually the implementation. any such linear layout stream is achieving its limits as a result of extreme strain on layout cycle and strict functionality constraints. The strategy, referred to as Algorithm-Architecture Matching, goals to leverage layout flows with a simultaneous research of either algorithmic and architectural matters, making an allowance for 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 necessary whilst dealing with the hot rising purposes as for instance complicated cellular communique or pictures utilizing sub-micron production applied sciences or 3D-Integrated Circuits. This range varieties a motive force for the long run evolutions of embedded method designs methodologies.
The major expectancies from approach designers’ perspective are concerning equipment, instruments and architectures helping program complexity and layout cycle aid. complicated optimizations are necessary to meet layout constraints and to allow a large attractiveness of those new technologies.
Algorithm-Architecture Matching for sign and snapshot Processing offers a suite of chosen contributions from either and academia, addressing various features of Algorithm-Architecture Matching technique starting from sensors to architectures layout. The scope of this e-book displays the range of strength algorithms, together with sign, verbal exchange, photograph, video, 3D-Graphics applied onto quite a few architectures from FPGA to multiprocessor platforms. a number of synthesis and source administration options leveraging layout optimizations also are defined and utilized to various algorithms.
Algorithm-Architecture Matching for sign and picture Processing might be on each one designer’s and EDA software developer’s shelf, in addition to on people with an curiosity in electronic approach layout optimizations facing complicated algorithms.
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
Multiresolution images are used for vision algorithms to integrate some global information at the pixel level: the results at the low resolution are used to constrain the computations at the more detailed levels. To compress video, the motion estimation step also benefits from a multi-resolution pyramid of the input images: the coarse grain motion vectors at the low resolution are used to guide the computations at higher resolutions, preventing the algorithm to “fall” in some local minima. Mip-Map images are used in real-time 3D rendering to apply textures at a level of resolution that fits the raster scan sampling of the scene triangles.
The idea is to enable a virtual loop to synchronize the propagation of a set of rays. Hence, this transformation improves the very low data-reuse ratio of the original iterative algorithm for which a grid cell is traversed only once. Efficient Memory Management for Uniform and Recursive Grid Traversal 29 The proposed memory hierarchies and “phase-locked” propagation algorithm, both for uniform and recursive grids, are validated by performance measures performed both on an emulation platform and through CABA (Cycle Accurate, Bit Accurate) simulations.
The principle is to compute ray paths through diversely structured scenes. In this chapter we will focus on the traversal of both uniform and recursive grids, which can be seen as either space indexing means or direct volume representations. On the one hand, space indexing means are used to store a primitive-based scene (typically a set of textured triangles) in an easily traversable structure, commonly known as an acceleration structure (AS). The AS traversal returns a list of primitives or even a more complex sub-scene to which some further computations are performed.
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.)