Paper Info
Title
A Study with MIC-GPU-CPU Heterogeneous Architecture in Electrocardiograms Simulation of Electrocardiogram Based Whole-Heart Model
Abstract
In order to study the performance of MIC-GPU-CPU hybrid computing platform, this paper conduct a whole heart simulation model on this platform. And to corroborate the advantages of this heterogeneous architecture environment, we parallelize the electrocardiograms simulation algorithm. Electrocardiograms simulation algorithm is a recommendable case to study the ability of MIC-GPU-CPU architecture for its great deal of computation. The paper addresses the heart modeling program performs in the MIC-GPU-CPU architecture, such architecture performs well in electrocardiograms simulation application, and the bottleneck in this platform with a set of parameter-various benchmarks. The heart simulation results on CPU, MIC, GPU, and MIC-GPU-CPU are exhibited at last.
Year
DOI
Venue
2014
10.1109/CIT.2014.38
CIT
Keywords
Field
DocType
large-scale computation,whole heart simulation model,electrocardiography,hybrid architecture,gpu,graphics processing units,intel mic,heart modeling program,electrocardiogram based whole-heart model,hybrid architecture, intel mic, gpu, loading prediction scheduling,digital simulation,loading prediction scheduling,intel mic-gpu-cpu heterogeneous architecture,medical computing,computer simulation,mic-gpu-cpu hybrid computing platform,electrocardiogram simulation algorith
Bottleneck,Architecture,Computer science,Xeon Phi,Parallel computing,Real-time computing,Machine Check Architecture,Simulation algorithm,Computation
Conference
ISSN
Citations 
PageRank 
2474-9648
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Wenfeng Shen13210.23
Zhaokai Luo200.34
Yin Zhang300.34
Daming Wei421544.97
Weimin Xu5617.98
Xin Zhu67316.49
Shizhong Yuan7183.78