Name
Title | ||
|---|---|---|
Load-Prediction Scheduling for Computer Simulation of Electrocardiogram on a CPU-GPU PC |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CSE.2013.42 | C3S2E |
Keywords | Field | DocType |
dynamic scheduling,cpu-gpu pc,cpu-gpu hybrid environment,computer simulation,load-prediction scheduling,gpu performance,lps algorithm,dynamic scheduling overhead,gpu technologies upgrade,multi-core cpu,resource allocation,scheduling | Fair-share scheduling,Supercomputer,Load balancing (computing),Scheduling (computing),Instruction set,Computer science,Parallel computing,Resource allocation,Dynamic priority scheduling,Processor scheduling | Conference |
ISSN | Citations | PageRank |
1949-0828 | 1 | 0.36 |
References | Authors | |
7 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenfeng Shen | 1 | 32 | 10.23 |
| Lianqiang Sun | 2 | 6 | 1.21 |
| Daming Wei | 3 | 215 | 44.97 |
| Weimin Xu | 4 | 61 | 7.98 |
| Xin Zhu | 5 | 73 | 16.49 |
| Shizhong Yuan | 6 | 18 | 3.78 |