Dynamic Reconfiguration Architectures and Algorithms by Ramachandran Vaidyanathan

By Ramachandran Vaidyanathan

Dynamic Reconfiguration: Architectures and Algorithms deals a accomplished remedy of dynamically reconfigurable machine architectures and algorithms for them. The assurance is wide ranging from basic algorithmic innovations, ranging throughout algorithms for a big selection of difficulties and purposes, to simulations among types. The presentation employs a unmarried reconfigurable version (the reconfigurable mesh) for many algorithms, to permit the reader to distill key rules with no the bulky info of a myriad of versions. as well as algorithms, the booklet discusses subject matters that offer a greater figuring out of dynamic reconfiguration corresponding to scalability and computational energy, and more moderen advances corresponding to optical versions, run-time reconfiguration (on FPGA and comparable platforms), and enforcing dynamic reconfiguration. The e-book, that includes many examples and a wide set of workouts, is a superb textbook or reference for a graduate path. it's also an invaluable connection with researchers and process builders within the region.

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1 solves maximum finding more efficiently with N processors, albeit in O(logN) time. We now generalize these results to an algorithm running on an R-Mesh, for any Let each processor in the top row of the R-Mesh hold an input. The algorithm consists of the following steps: (1) Decompose the R-Mesh into square “sub-R-Meshes,” each of size and find the “local maxima” within these sub-R-Meshes. (2) Generate an sub-R-Mesh within the R-Mesh, with the local maxima of Step 1 in the The Reconfigurable Mesh: A Primer 41 top row of this sub-R-Mesh.

Let list L contain elements (in some order). Consider list element with successor Let and denote their ranks in the list. Our approach to list ranking hinges on the, rather obvious, observation that That is, the rank of an element can be computed by incrementing the rank of its predecessor (if any). On the R-Mesh, this strategy takes the following form. For element assign a bundle of N row buses indexed corresponding Connect row buses and by to the N possible ranks of a column bus. This configuration guarantees that a signal on bus Since the precise value of is not known will also traverse bus a priori, the algorithm must be prepared to handle all possible values of In other words, the R-Mesh connects buses and for each The R-Mesh configures its buses in this manner for each be the first element element of the list and its successor (if any).

Variables that are local to a processor are usually indexed by (such as the processor’s index in this case). All “enabled” processors execute a statement. Conditional statements (if and if-then-else) divide the algorithm into several (possibly nested) conditional environments. Each conditional environment (except pos­ sibly the outermost one) corresponds to a conditional statement. ” The enabling condition for an environment is the conjunction of conditions of all environments enclosing (including itself).

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