Abstract
The article considers current issues and analyzes the problems of three-dimensional integrationand three-dimensional modeling that arise at the design stage during the solution of theproblem of optimal planning of components of large and extra-large integrated circuits and casedevices of electronic computing equipment. The main advantages of applying the principles ofthree-dimensional integration are presented and described in sufficient detail, which allow efficientlyorganizing the production of personalized electronics, optimally planning the configurationof large and ultra-large integrated circuits, taking into account thermal and energy characteristics.In the course of research, the authors developed an approach to encoding decisions based onan intelligent mechanism, which is characterized by the presence of built-in means of control ofacceptable decisions. One of such tools that have experimentally proven their effectiveness is thebuilt-in mechanism of “deadly mutations”, which takes into account the status of genes and predeterminedrestrictions on the final configuration of the housing of the designed device. A series ofgeneral approaches and specific algorithms for solving the planning problem based on the resultsof research by the author's team and modern approaches to solving NP-complete problems areproposed. The most important practically significant result of the research of the indicated problemis the developed software and instrumental design platform in the modern cross-platform Javaprogramming language. The selected development technology allows you to use all the main advantagesof modern multi-core and multi-processor architectures, to use software multi-threadingto implement parallel schemes for solving combinatorial problems. The software and tool platformhas a user-friendly interface, which allows you to effectively manage the process of solving theproblem of planning the components of large and ultra-large integrated circuits of threedimensionalintegration by visualizing key performance indicators of algorithms on graphs and intext statistics blocks. The developed application software made it possible to carry out a series ofcomputational experiments based on random data sets, as well as on open-data boron benchmarksfor such tasks. The results of experimental studies have confirmed the theoretical estimates of thetime complexity and effectiveness of the proposed approaches and algorithms, including the geneticalgorithm, which uses the new decision coding mechanism proposed in the work.
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