Formal Techniques for Development and Auto-tuning of Parallel Programs

Author:

Doroshenko AnatoliyORCID,Ivanenko PavloORCID,Yatsenko OlenaORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Reference36 articles.

1. Naono K, Teranishi K, Cavazos J, Suda R. Software automatic tuning: from concepts to state-of-the-art results. Berlin: Springer; 2010.

2. Durillo J, Fahringer T. From single- to multi-objective auto-tuning of programs: advantages and implications. Sci Program. 2014;22(4):285–97.

3. Doroshenko A, Yatsenko O. Formal and adaptive methods for automation of parallel programs construction: emerging research and opportunities. Hershey: IGI Global; 2021.

4. Andon PI, Doroshenko AY, Zhereb KA, Yatsenko OA. Algebra-algorithmic models and methods of parallel programming. Kyiv: Akademperiodyka; 2018.

5. Doroshenko A, Ivanenko P, Novak O, Yatsenko O. A mixed method of parallel software auto-tuning using statistical modeling and machine learning. In: Ermolayev V, Suárez-Figueroa MC, Ławrynowicz A, Palma R, Yakovyna V, Mayr HC, Nikitchenko M, Spivakovsky A, editors. ICTERI 2018. Communications in computer and information science. Cham: Springer; 2019. p. 102–23.

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