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Cybernetics And Systems Analysis
International Theoretical Science Journal
Volume 59 >>> № 5 SEPTEMBER — OCTOBER 2023
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UDC 519.712, 004.4'24
P.I. Andon1, A.Yu. Doroshenko2, P.A. Ivanenko3, O.A. Yatsenko4


1 Institute of Software Systems, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 andon@isofts.kiev.ua

2 Institute of Software Systems, National Academy of Sciences of Ukraine, Kyiv, Ukraine; National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

 anatoliy.doroshenko@gmail.com

3 Institute of Software Systems, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 paiv@ukr.net

4 Institute of Software Systems, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 oayat@ukr.net

GLUSHKOV’S ALGORITHMIC ALGEBRAS AND AUTOMATED
PARALLEL COMPUTING DESIGN

Abstract. An overview of the results obtained within the algebra of algorithms and tools for the automated development of programs for multiprocessor platforms is presented. Algorithmics is based on the theory of algorithm algebras and is focused on solving a wide range of applied problems and developing software tools for automated design and synthesis of classes of algorithms and programs. The generality of algorithms is based on the variety of interpretations of algorithm schemes and provides the possibility of applying algorithms and their tools for solving problems related to various subject domains. The combination of algorithmics and rewriting rules technique made it possible to develop methods and tools aimed at automated design, transformation, synthesis, and tuning of programs for various platforms (multicore processors, graphics processing units, field-programmable gate arrays).

Keywords: algebra of algorithms, parallel computation, program design and synthesis, software auto-tuning.


full text

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