Parallel software auto-tuning using statistical modeling and machine learning

• Datum: 2018
• Hauptverfasser: Doroshenko, А.Yu., Ivanenko, P.A., Novak, O.S., Yatsenko, O.A.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2018
• Schlagworte: auto-tuning; software development automation; machine learning; neural network; parallel computing; statistical modeling; UDC 004.4'24
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/264
• Назва журналу: Problems in programming

Auto-tuning for complex and nontrivial parallel systems is usually time-consuming because of empirical evaluation of huge amount of combinations of parameter values of an initial parallel program in a target execution environment. This paper proposes the improvement of the auto-tuning method using s...