Presentation 2013-11-27
A Quantizer Adaptively Predicting both Optimum Clock Frequency and Optimum Supply Voltage for Dynamic Voltage and Frequency Scaling Controlled Multimedia Processor
Nobuaki Kobayashi, Tadayoshi Enomoto,
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Abstract(in English) To make full use of the advantages of dynamic voltage and frequency scaling (DVFS) technique, a quantization decoder (QNT-D) was developed. The QNT-D generates the amount of quantized signal processing (Q) using the amount of the detected signal processing (M). Q is used to produce the optimum clock frequency (opt.f_c) and the optimum supply voltage (opt.V_D) that are proportional to Q. To develop a DVFS controlled motion estimation (ME) processor, we used both the QNT-D and a fast ME algorithm which is called A^2BC (Adaptively Assigned Breaking-off Condition) to predict M for each macro-block (MB). A DVFS controlled ME processor was constructed by using 90-nm CMOS technology. The total power dissipation (P_T) of the processor was significantly reduced and varied from 38.65 to 99.55μW, only 3.275 to 8.412 % of P_T of a conventional ME processor, depending on the test video pictures.
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Keyword(in English) DVFS / H.264/AVC / power dissipation / motion estimation / processor
Paper # CPM2013-113,ICD2013-90
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Committee CPM
Conference Date 2013/11/20(1days)
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Registration To Component Parts and Materials (CPM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Quantizer Adaptively Predicting both Optimum Clock Frequency and Optimum Supply Voltage for Dynamic Voltage and Frequency Scaling Controlled Multimedia Processor
Sub Title (in English)
Keyword(1) DVFS
Keyword(2) H.264/AVC
Keyword(3) power dissipation
Keyword(4) motion estimation
Keyword(5) processor
1st Author's Name Nobuaki Kobayashi
1st Author's Affiliation Graduate School of Science and Engineering, Chuo University()
2nd Author's Name Tadayoshi Enomoto
2nd Author's Affiliation Graduate School of Science and Engineering, Chuo University
Date 2013-11-27
Paper # CPM2013-113,ICD2013-90
Volume (vol) vol.113
Number (no) 322
Page pp.pp.-
#Pages 6
Date of Issue