Abstract
High performance computing environment synthesis with parallel architecture reconstructing throughout the process itself is described. Synthesized computational medium involving Boolean differential equation calculations so as to function in real-time image processing. Automaton imaging was illustrated involving the rearrangement of every processing medium element to calculate the partial differentials of n-th order in respect to Boolean function variables. The method of obtaining setting codes for each element was also described. An example in calculating 2 nd -order Boolean derivative to two differentials in respect to Boolean functions, depending on three arguments within the reconstructible computational medium of 8×8 processing elements was given.
Highlights
Architecting updated robotic systems functioning autonomously in a-priori unknown medium involves directly positioned in- robot computer systems in order to process a considerable body of sematic information
Hardware-in-the-loop reconfigurable computing medium (RCM) design and its functioning is based on grouped evaluator model: S =< C,G, A(P(D)) >, where, С = {ci} – set of processing elements ci, i = 0, 1, ..., N – 1; G – intercomputing linkage matrix structure; A – processing element algorithm set C interrelated with G, in hardware parallel support program P of data processing D
This paper describes the synthesis of such RCM for Boolean differentiation implementation and integration
Summary
Architecting updated robotic systems functioning autonomously in a-priori unknown medium involves directly positioned in- robot computer systems in order to process a considerable body of sematic information. Real-time processing of this information attributable to classical computing architecture results in increasing robot weight and structure design. Hardware-in-the-loop RCM design and its functioning is based on grouped evaluator model:. S =< C,G, A(P(D)) > , where, С = {ci} – set of processing elements ci, i = 0, 1, ..., N – 1; G – intercomputing linkage matrix structure (grid); A – processing element algorithm set C interrelated with G, in hardware parallel support program P of data processing D. Grouped evaluator construct H =< C, G > reflects the following architectural concept: 1) parallelism in processing (parallel processing element algorithm set C intercomputing with G); 2) programmability structure; 3) homogeneity of structure H (homogeneity of processing elements ci ∈ C and macrostructure G). This paper describes the synthesis of such RCM for Boolean differentiation implementation and integration
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