Autotuning of parallel programs using the IBM Watsons Analytics data analysis system

Autotuning of parallel programs using the IBM Watsons Analytics data analysis system

In this paper an analytical model of the method of automatic adjustment of parallel programs (auto-tuning) is presented. The software implementation of this model is based on the formal transformations of code and using expert data as a foundation of the optimization process and further analysis of...

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Bibliographic Details
Date:2018
Main Authors: Doroshenko, А.Yu., Novak, O.S., Ivanenko, P.A., Starushyk, A.M.
Format: Article
Language:Ukrainian
Published: PROBLEMS IN PROGRAMMING 2018
Subjects:
autotuning
parallel programs
IBM Watsons Analytics
optimization
statistical modeling
UDC 681.3
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/237
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Journal Title:Problems in programming
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Problems in programming
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Summary:In this paper an analytical model of the method of automatic adjustment of parallel programs (auto-tuning) is presented. The software implementation of this model is based on the formal transformations of code and using expert data as a foundation of the optimization process and further analysis of the results with the IBM Watsons Analytics system. The results of a practical experiment confirming the effectiveness of the approach used in optimizing parallel programs are presented. The principles of the IBM Watsons Analytics data analysis system are examined and the system itself is shown in action.Problems in programming 2018; 1: 46-54

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