The Optimization Mechanism of CPU/GPU Computing Resource for Minimization of Performance Interference and Calculation Efficiency in Volunteer Computing Environment

KIPS Transactions on Computer and Communication Systems, Vol. 6, No.12, pp.479-486, December 2017
10.3745/KTCCS.2017.6.12.479, Full Text

Abstract

Volunteer computing is a new computing paradigm that performs operations on idle resources of many nodes. The operation method of the client application for the execution of the volunteer computing is determined by the setting information of the user. Ideal operation requires optimized settings for system features and operating methods of other applications. In this paper, we analyze the usage ratio of CPU and GPU periodically, and develop a manager that dynamically applies optimized options. Through our proposed mechanism, the performance of the task computing is higher than that of the existing Volunteer Computing, and the performance interference is minimized. It is expected that volunteers will be able to provide higher computing resources for Volunteer Computing Project.


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Cite this paper

[KIPS Transactions Style]
B. W. Bak, C. G. Song, and H. C. Yu, "The Optimization Mechanism of CPU/GPU Computing Resource for Minimization of Performance Interference and Calculation Efficiency in Volunteer Computing Environment," KIPS Transactions on Computer and Communication Systems, Vol.6, No.12, pp.479-486, 2017, DOI: 10.3745/KTCCS.2017.6.12.479.

[IEEE Style]
Bong Woo Bak, Chung Geon Song, and Heon Chang Yu, "The Optimization Mechanism of CPU/GPU Computing Resource for Minimization of Performance Interference and Calculation Efficiency in Volunteer Computing Environment," KIPS Transactions on Computer and Communication Systems, vol. 6, no. 12, pp. 479-486, 2017. DOI: 10.3745/KTCCS.2017.6.12.479.

[ACM Style]
Bak, B. W., Song, C. G., and Yu, H. C. 2017. The Optimization Mechanism of CPU/GPU Computing Resource for Minimization of Performance Interference and Calculation Efficiency in Volunteer Computing Environment. KIPS Transactions on Computer and Communication Systems, 6, 12, (2017), 479-486. DOI: 10.3745/KTCCS.2017.6.12.479.