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Efficient library characterization for high-level power estimation
KTH, Tidigare Institutioner, Elektroniksystemkonstruktion.
2004 (Engelska)Ingår i: IEEE Transactions on Very Large Scale Integration (vlsi) Systems, ISSN 1063-8210, E-ISSN 1557-9999, Vol. 12, nr 6, s. 657-661Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper describes LP-DSM, which is an algorithm used for efficient library characterization in high-level power estimation. LP-DSM characterizes the power consumption of building blocks using the entropy of primary inputs and primary outputs. The experimental results showed that over a wide range of benchmark circuits implemented using full custom design in 0.35-mum 3.3 V CMOS process the statistical performance (mean and maximum error) of LP-DSM is comparable or sometimes better than most of the published algorithms. Moreover, it was found that LP-DSM has the lowest prediction sum of squares, which makes it an efficient tool for power prediction. Furthermore, the complexity of the LP-DSM is linear in relation to the number of primary inputs (O(NI)), whereas state of the art published library characterization algorithms have a complexity of O(NI2).

Ort, förlag, år, upplaga, sidor
2004. Vol. 12, nr 6, s. 657-661
Nyckelord [en]
digital signal processor (DSP) algorithms, least-square estimation, low-power architecture synthesis, low-power library characterization
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URN: urn:nbn:se:kth:diva-23473DOI: 10.1109/TVLSI.2004.827601ISI: 000221804200010Scopus ID: 2-s2.0-3042516959OAI: oai:DiVA.org:kth-23473DiVA, id: diva2:342171
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QC 20100525 QC 20111027Tillgänglig från: 2010-08-10 Skapad: 2010-08-10 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

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Tenhunen, Hannu
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Elektroniksystemkonstruktion
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