Boolean Differentiation Equations Applicable in Reconfigurable Computational Medium; MATEC Web of Conferences; Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016)
| Parent link: | MATEC Web of Conferences Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01014, 5 p.] |
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| Summary: | Title screen 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 2nd -order Boolean derivative to two differentials in respect to Boolean functions, depending on three arguments within the reconstructible computational medium of 8 x 8 processing elements was given. |
| Sprog: | engelsk |
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2016
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| Online adgang: | http://dx.doi.org/10.1051/matecconf/20167901014 http://earchive.tpu.ru/handle/11683/35283 |
| Format: | Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651511 |
| Summary: | Title screen 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 2nd -order Boolean derivative to two differentials in respect to Boolean functions, depending on three arguments within the reconstructible computational medium of 8 x 8 processing elements was given. |
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| DOI: | 10.1051/matecconf/20167901014 |