PUB - Publikationen an der Universität Bielefeld

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• [7]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2560236

  S. Lütkemeier, et al., “A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control”, IEEE Journal Of Solid-State Circuits, vol. 48, 2013, pp. 8-19.

  PUB | DOI | WoS
   
• [6]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2475063

  S. Lütkemeier, et al., “A 200mV 32b Subthreshold Processor with Adaptive Supply Voltage Control”, Proc. of the International Solid-State Circuits Conference (ISSCC), Institute of Electrical and Electronics Engineers, ed., Piscataway, NJ: IEEE, 2012, pp.484-485.

  PUB | DOI
   
• [5]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2475069

  M. Blesken, S. Lütkemeier, and U. Rückert, “Multiobjective optimization for transistor sizing sub-threshold CMOSlogic standard cells”, Proc. IEEE Int Circuits and Systems (ISCAS) Symp, Institute of Electrical and Electronics Engineers, ed., Piscataway, NJ: IEEE, 2010, pp.1480-1483.

  PUB | DOI
   
• [4]
  

  2010 | Konferenzbeitrag | PUB-ID: 2286628

  T. Jungeblut, et al., “A modular design flow for very large design space explorations”, CDNLive! EMEA 2010, 2010.

  PUB | Dateien verfügbar
   
• [3]
  

  2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1929613

  S. Lütkemeier and U. Rückert, “A Subthreshold to Above-Threshold Level Shifter Comprising a Wilson Current Mirror”, IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 57, 2010, pp. 721-724.

  PUB | DOI | WoS
   
• [2]
  

  2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2289299

  S. Lütkemeier, T. Kaulmann, and U. Rückert, “A Sub-200mV 32bit ALU with 0.45pJ/instruction in 90nm CMOS”, Semiconductor Conference Dresden, 2009.

  PUB
   
• [1]
  

  2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2289096

  T. Kaulmann, S. Lütkemeier, and U. Rückert, “IAF Neuron Implementation for Mixed-Signal PCNN Hardware”, Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN), F. Sandoval, ed., Lecture notes in computer science, vol. 4507, Berlin, Heidelberg: Springer-Verlag, 2007, pp.447-454.

  PUB | DOI