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Volumn , Issue 2008 PROCEEDINGS, 2008, Pages 447-458

Low-power, high-performance analog neural branch prediction

Author keywords

[No Author keywords available]

Indexed keywords

45NM TECHNOLOGY; ACCURATE PREDICTION; ANALOG CIRCUITRY; ANALOG IMPLEMENTATION; CURRENT SUMMATION; DEVICE VARIATIONS; DIGITAL IMPLEMENTATION; LOW POWER; LOW POWER PROCESSORS; NEURAL BRANCH PREDICTION; NEURAL PREDICTORS; PREDICTION COMPUTATION; REDUCED COST; SOFT ERROR; TRANSISTOR SIZE;

EID: 66749140113     PISSN: 10724451     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MICRO.2008.4771812     Document Type: Conference Paper
Times cited : (42)

References (25)
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  • 12
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  • 14
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    • Mixed-signal neural network branch prediction
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  • 18
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    • Nanoscale Integration and Modeling Group at ASU
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    • Predictive Technology Models (PTMs)
  • 19
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    • Bsim Research Group at UC Berkeley
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    • (2007) BSIM4.6.1 mosfet manual user's guide
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    • Cacti 4.0
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    • (2006) , pp. 2006
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  • 21
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    • Experimental results and modeling techniques for substrate noise in mixed-signal integrated circuits
    • April
    • D. K. Su, M. J. Loinaz, S. Masui, and B. A. Wooley, "Experimental results and modeling techniques for substrate noise in mixed-signal integrated circuits," IEEE Journal of Solid-State Circuits, vol. 28, no. 4, pp. 420-430, April 1993.
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  • 23
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    • S. Wey, C.-L.; Krishman, Built-in self-test (bist) structures for analog circuit fault diagnosis with current test data, IEEE Transactions on Instrumentation and Measurement, 41, no. 4, pp. 535-539, August 1992.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.