DocumentCode :
2074960
Title :
Manycore processor for video mining applications
Author :
Matsumoto, Yuki ; Uchida, Hironaga ; Hagimoto, Michiya ; Hibi, Y. ; Torii, Shuichi ; Izumida, M.
Author_Institution :
TOPS Syst. Corp., Tsukuba, Japan
fYear :
2013
fDate :
22-25 Jan. 2013
Firstpage :
574
Lastpage :
575
Abstract :
Through Architecture-Algorithm co-design for Video Mining Applications we designed a scalable Manycore processor consists of clustered heterogeneous cores with stream processing capabilities, and zero-overhead inter-process communication through FIFO with a hardware-software mechanism. For achieving high-performance and low-power consumption, especially so as to reduce memory access required for Video Mining Applications, each application is partitioned to exploit both task and data parallelism, and programmed as a distributed stream processing with relatively large local register-file based on Kahn Process Network model.
Keywords :
data mining; multiprocessing systems; video streaming; FIFO; Kahn process network model; architecture-algorithm codesign; clustered heterogeneous cores; data parallelism; distributed stream processing; hardware-software mechanism; large local register-file; low-power consumption; memory access reduction; scalable manycore processor; video mining applications; zero-overhead inter-process communication; Algorithm design and analysis; Data mining; Feature extraction; Object detection; Parallel processing; Streaming media; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference (ASP-DAC), 2013 18th Asia and South Pacific
Conference_Location :
Yokohama
ISSN :
2153-6961
Print_ISBN :
978-1-4673-3029-9
Type :
conf
DOI :
10.1109/ASPDAC.2013.6509659
Filename :
6509659
Link To Document :
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