標題: Self adaptable multithreaded object detection on embedded multicore systems
作者: Lai, Bo-Cheng Charles
Li, Kun-Chun
Li, Guan-Ru
Chiang, Chin-Hsuan
交大名義發表
National Chiao Tung University
關鍵字: Multiprocessor systems;Cache memories;Face and gesture recognition
公開日期: 1-四月-2015
摘要: Leveraging multithreading on embedded multicore platforms has been proven effective on handling the increasing resolutions of target stimuli of object detection. However, complex tradeoffs and correlated design impacts between a parallel application and the underlying multicore platform necessitate an effective and adaptable multithreaded design. This paper introduces a hybrid multithreaded object detection with high parallelism and extensive data reuse. A self adaptable flow is proposed to adjust the multithreaded object detection to fully exploit various embedded multicore architectures. The ARM-based cycle accurate simulations of multicore systems have shown the superior performance returned by the proposed design. (C) 2015 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jpdc.2015.01.005
http://hdl.handle.net/11536/124706
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2015.01.005
期刊: JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
Volume: 78
起始頁: 25
結束頁: 38
顯示於類別:期刊論文