NDLI: Load-Prediction Scheduling for Computer Simulation of Electrocardiogram on a CPU-GPU PC

Content Provider	IEEE Xplore Digital Library
Author	Wenfeng Shen Lianqiang Sun Daming Wei Weimin Xu Xin Zhu Shizhong Yuan
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China (Wenfeng Shen; Lianqiang Sun; Daming Wei; Weimin Xu; Shizhong Yuan) \|\| Biomed. Inf. Technol. Lab., Univ. of Aizu, Aizu-Wakamatsu, Japan (Xin Zhu)
Abstract	Multi-core CPU and GPU technologies upgrades a PC to a personal supercomputer. Many algorithms have been proposed to achieve dynamic scheduling in CPU-GPU hybrid environments. Among them, only pure self-scheduling (PSS) can achieve perfect load balancing in this extremely heterogeneous environment. But PSS can not take full advantage of GPU performance, reduce the overhead of the tail problem, and reduce the dynamic scheduling overhead. In this paper, load-prediction scheduling (LPS) was introduced to solve the above problems. To demonstrate the efficiency of LPS in practical applications, it was implemented to parallelize computer simulation of electrocardiogram. Experimental results of LPS on the computer simulation of electrocardiogram (ECG) show that the LPS algorithm is more efficient than PSS.
Starting Page	213
Ending Page	218
File Size	253936
Page Count	6
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Processor scheduling Instruction sets Computational modeling Computer simulation Computer simulation of ECG load-prediction scheduling Graphics processing units Electrocardiography Dynamic scheduling dynamic scheduling GPU
Content Type	Text
Resource Type	Article

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