Parallel software auto-tuning using statistical modeling and machine learning

• Опубліковано в: PROBLEMS IN PROGRAMMING
• Дата: 2018
• Випуск: 2-3
• Сторінки: 46-53
• ISSN: 1727-4907
• Автори та афіліації: А.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine; P.A. Ivanenko — Institute of Software Systems NAS of Ukraine; O.S. Novak — Institute of Software Systems NAS of Ukraine; O.A. Yatsenko — Institute of Software Systems NAS of Ukraine
• Автори: Doroshenko, А.Yu., Ivanenko, P.A., Novak, O.S., Yatsenko, O.A.
• Формат: Стаття
• Мова: Українська
• Опубліковано: PROBLEMS IN PROGRAMMING 2018
• Теми: auto-tuning; software development automation; machine learning; neural network; parallel computing; statistical modeling; UDC 004.4'24
• Онлайн доступ: 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...