Profiler Design for Evaluating Performance of WebCL Applications


KIPS Transactions on Computer and Communication Systems, Vol. 4, No. 8, pp. 239-244, Aug. 2015
10.3745/KTCCS.2015.4.8.239, Full Text:

Abstract

WebCL was proposed for high complex computing in Javascript. Since WebCL-based applications are distributed and executed on an unspecified number of general clients, it is important to profile their performances on different clients. Several profilers have been introduced to support various programming languages but WebCL profiler has not been developed yet. In this paper, we present a WebCL profiler to evaluate WebCL-based applications and monitor the status of GPU on which they run. This profiler helps developers know the execution time of applications, memory read/write time, GPU statues such as its power consumption, temperature, and clock speed.


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Cite this article
[IEEE Style]
C. W. Kim and H. J. Cho, "Profiler Design for Evaluating Performance of WebCL Applications," KIPS Transactions on Computer and Communication Systems, vol. 4, no. 8, pp. 239-244, 2015. DOI: 10.3745/KTCCS.2015.4.8.239.

[ACM Style]
Cheol Won Kim and Hyeon Joong Cho. 2015. Profiler Design for Evaluating Performance of WebCL Applications. KIPS Transactions on Computer and Communication Systems, 4, 8, (2015), 239-244. DOI: 10.3745/KTCCS.2015.4.8.239.