DocumentCode
547277
Title
Implementation of intra prediction in H.264 based on a novel design methodology
Author
Hu, Ziyi ; Peng, Jianhong ; Zhang, Xu ; Zhao, Lei ; Wang, Xin´an
Author_Institution
Shenzhen Grad. Sch., Key Lab. of Integrated Microsyst., Peking Univ., Shenzhen, China
Volume
2
fYear
2011
fDate
10-12 June 2011
Firstpage
650
Lastpage
655
Abstract
A novel IC design methodology, named Operator Methodology (OM), is proposed in this paper and has been applied to intra prediction of H.264 entropy coding, satisfying the need of 1080P@30pfs performance. This new methodology will map the high-level language, such as C programming language, to verilog HDL through a special middle language, using a series of analysis processes like time-noting and optimization. The implementation of intra prediction in H.264 by OM, which is verified to work at 100MHZ in a Xilinx Virtex6 FPGA and 0.13um SMIC CMOS technology at 167MHz frequency, shows that OM can speed up IC design effectively and obtain comparable performance with other ASIC results. Finally, our design cycle, measured by man-month, will be decreased by a large scale using auto-translator and auto-optimizer.
Keywords
C language; CMOS logic circuits; application specific integrated circuits; circuit optimisation; field programmable gate arrays; hardware description languages; high level languages; integrated circuit design; video coding; ASIC; C programming language; H.264 entropy coding; IC design; IC design methodology; SMIC CMOS technology; Xilinx Virtex6 FPGA; autooptimizer; autotranslator; design cycle; frequency 100 MHz; high-level language; operator methodology; optimization; time noting process; verilog HDL; Algorithm design and analysis; Hardware; Hardware design languages; Integrated circuits; Optimization; Prediction algorithms; Timing; H.264; Intra Prediction; Map; Operator Methodology; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952553
Filename
5952553
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