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