DocumentCode :
3682275
Title :
Intelligent task scheduler with high throughput NoC for real-time mobile object recognition SoC
Author :
Kyuho Lee;Junyoung Park;Injoon Hong;Hoi-Jun Yoo
Author_Institution :
Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
fYear :
2015
Firstpage :
100
Lastpage :
103
Abstract :
An Intelligent Task Scheduler (ITS) together with Congestion-avoiding Flexible Routing (CAFeR) are proposed to minimize network congestion of network-on-chip (NoC), so as to improve the throughput of multi-core system for fast and accurate object recognition. The ITS predicts the communication pattern of next frame and intelligently assigns tasks to consumer cores. It also adaptively controls buffer threshold of each link in NoC to support CAFeR to enhance packet transaction throughput, which enables packets to communicate with less congestion. Thanks to the proposed ITS with 91.4% of prediction accuracy and CAFeR, the overall latency is reduced by 50.2%.
Keywords :
"Routing","Ports (Computers)","Object recognition","Accuracy","Throughput","Pipelines","Monitoring"
Publisher :
ieee
Conference_Titel :
European Solid-State Circuits Conference (ESSCIRC), ESSCIRC 2015 - 41st
ISSN :
1930-8833
Print_ISBN :
978-1-4673-7470-5
Type :
conf
DOI :
10.1109/ESSCIRC.2015.7313838
Filename :
7313838
Link To Document :
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