Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities

Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities

Anatoliy Doroshenko (Institute of Software Systems, Ukraine) and Olena Yatsenko (Institute of Software Systems, Ukraine)
Release Date: August, 2020|Copyright: © 2021 |Pages: 279|DOI: 10.4018/978-1-5225-9384-3
ISBN13: 9781522593843|ISBN10: 1522593845|EISBN13: 9781522593867|ISBN13 Softcover: 9781522593850

Description

Emerging scientific and industrial applications in today’s world require significant computing power. Modern software tools are available for such platforms but are relatively complex and require the use of innovative programming models. One promising area in modern software design is the development, analysis, and implementation of algorithms and adaptive methods. These advancements in programming are promising but lack relevant research and understanding.

Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities is an essential reference source that solves the problem of the development of efficient models, methods, and tools for parallel programming automation based on the algebra of algorithms, term rewriting, and auto-tuning paradigms. The results of this book will help to further develop and improve existing research on design, synthesis, and optimization of sequential and parallel algorithms and programs. Featuring research on topics such as auto-tuning methods, graphics processing, and algorithmic language, this book is ideally designed for mathematicians, software engineers, data scientists, researchers, academicians, and students seeking coverage on developing tools for automated design and parallel programs.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Algorithm Specifications
  • Algorithmic Language
  • Auto-Tuning Methods
  • Automated Software Design
  • Graphics Processing
  • Multicore Processors
  • Parallel Computing
  • Parameter-Driven Models
  • Programming Methods
  • Term Rewriting

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Anatoliy Doroshenko has graduated from Kyiv National University by Taras Shevchenko (Kyiv, Ukraine). He has received his degrees of Ph.D. (1989) and Doctor of Sciences (1997) both from Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine (Kyiv, Ukraine). His research interests include high-performance computing algorithms, programming methods, algebraic algorithmic models, and formal methods and adaptive programming techniques for automated software design. In 1997 he gas got the position of Research Director in Institute of Software Systems of the National Academy of Sciences of Ukraine where he carried out several research projects at the National Academy of Sciences of Ukraine and in the framework of international programs Copernicus, INTAS, NATO Science program and others related to the development of software tools for automated parallel program design and their application. Since 2005, he is a Professor of the Department of Informatics and Computer Engineering of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”. He is the author of 8 monographs and more than 200 research papers. He is a member of the ACM. Affiliated with National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and Institute of Software Systems of the National Academy of Sciences of Ukraine.
Olena A. Yatsenko has graduated from International Solomon University (Kyiv, Ukraine). In 2005, she has received the degree of Doctor of Philosophy in Physics and Mathematics from Kyiv National University by Taras Shevchenko. Her research interests include development of algebraic algorithmic models, formal methods and software tools for automated design and synthesis of parallel programs, application of developed methods and tools for constructing high-performance programs for multiprocessor and cloud platforms. She has more than 50 scientific publications, including two monographs and a textbook. She is affiliated with Institute of Software Systems of the National Academy of Sciences of Ukraine.