By Xiaolin Chen, Nishan Canagarajah, Jose L. Nunez-Yanez (auth.), Guy Gogniat, Dragomir Milojevic, Adam Morawiec, Ahmet Erdogan (eds.)
Advances in sign and photo processing including expanding computing strength are bringing cellular know-how in the direction of purposes in a number of domain names like automobile, future health, telecommunication, multimedia, leisure and so forth. the improvement of those prime functions, related to a wide variety of algorithms (e.g. sign, photo, video, 3D, conversation, cryptography) is classically divided into 3 consecutive steps: a theoretical examine of the algorithms, a examine of the objective structure, and eventually the implementation. this sort of linear layout movement is attaining its limits as a result of extreme strain on layout cycle and strict functionality constraints. The procedure, referred to as Algorithm-Architecture Matching, goals to leverage layout flows with a simultaneous examine 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 accomplished differently if thought of individually. Introducing new layout methodologies is needed whilst dealing with the recent rising functions as for instance complicated cellular communique or photographs utilizing sub-micron production applied sciences or 3D-Integrated Circuits. This range types a driver for the long run evolutions of embedded procedure designs methodologies.
The major expectancies from approach designers’ perspective are on the topic of tools, instruments and architectures assisting software complexity and layout cycle relief. complex optimizations are necessary to meet layout constraints and to allow a large popularity of those new technologies.
Algorithm-Architecture Matching for sign and snapshot Processing offers a suite of chosen contributions from either and academia, addressing various elements of Algorithm-Architecture Matching procedure starting from sensors to architectures layout. The scope of this publication displays the range of capability algorithms, together with sign, conversation, photograph, video, 3D-Graphics applied onto a variety of architectures from FPGA to multiprocessor structures. numerous synthesis and source administration strategies leveraging layout optimizations also are defined and utilized to various algorithms.
Algorithm-Architecture Matching for sign and picture Processing will be on each one designer’s and EDA software developer’s shelf, in addition to on people with an curiosity in electronic procedure 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 resources for Algorithm-Architecture Matching for Signal and Image Processing: Best papers from Design and Architectures for Signal and Image Processing 2007 & 2008 & 2009
The speed-up also depends on the view-point, the geometry of rays and the size of the tiles. From these measure we conclude that the 3D-AP Cache allows to exploit the data-reuse and performs pre-fetching efficiently. Sinogram Computing Because of a higher data-reuse it is more efficient to compute a sinogram than to visualize a volume, as shown in Fig. 13. The measures are Fig. 13 RCPG-U sinogram efficiency: due to a high data-reuse ratio, the cache efficiency to compute a sinogram is higher Efficient Memory Management for Uniform and Recursive Grid Traversal 47 Fig.
This can be explained by the fact that volume rendering naturally involves very large data sets, up to 10243 grids with recent medical appliances for instance. This is why memory bandwidth is likely to become the performance bottleneck of such systems. Therefore, most memory management strategies put a strong emphasis on data reuse and access locality through diverse means. The cache efficiency of software systems can be optimized thanks to multithreaded software [6, 11]: each thread deals with a small set of rays and the speedup comes from the fact that some grid data used by each thread are in the cache memory.
At last, the 3D-AP Cache and the “phase locked” RCPG allow any size of grid and the system is scalable. To our knowledge there is no equivalent to the recursive grid traversal strategy presented in this chapter. The closest hardware architectures presented in the literature addresses full octrees . The later are different from sparse octrees in the Efficient Memory Management for Uniform and Recursive Grid Traversal 49 way that nodes are always data and never pointers to a higher resolution.