Abstract:
Register transfer level power macro-modeling is a promising technique for accurate and efficient power estimation. This paper proposes an effective approach based on the ...Show MoreMetadata
Abstract:
Register transfer level power macro-modeling is a promising technique for accurate and efficient power estimation. This paper proposes an effective approach based on the table-based method of the RTL power macro-modeling. We propose the accurate table reference method which considers power library unevenness. The proposed method is applicable for various table-based estimation and outputs more proximal power value. The experimental results show the proposed methods reduces max error 46.48% in maximum for 8 benchmark circuits, comparing to conventional method. RMS (Root Mean Square) error is also improved 1.77% in maximum.
Date of Conference: 30 May 2010 - 02 June 2010
Date Added to IEEE Xplore: 03 August 2010
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Power Estimation ,
- Accurate Power ,
- Register Transfer Level ,
- Accurate Power Estimation ,
- Root Mean Square Error ,
- Power Values ,
- Accurate Estimation ,
- Sample Distribution ,
- Power Consumption ,
- Output Data ,
- Sampling Density ,
- Shortest Distance ,
- Lookup Table ,
- Extraction Parameters ,
- Parameter Region ,
- High-density Regions ,
- Fast Estimation ,
- Average Input ,
- Dark Part ,
- Improve Estimation Accuracy ,
- Fast Power
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Power Estimation ,
- Accurate Power ,
- Register Transfer Level ,
- Accurate Power Estimation ,
- Root Mean Square Error ,
- Power Values ,
- Accurate Estimation ,
- Sample Distribution ,
- Power Consumption ,
- Output Data ,
- Sampling Density ,
- Shortest Distance ,
- Lookup Table ,
- Extraction Parameters ,
- Parameter Region ,
- High-density Regions ,
- Fast Estimation ,
- Average Input ,
- Dark Part ,
- Improve Estimation Accuracy ,
- Fast Power