7 Publikationen
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2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2560236Lütkemeier, S., Jungeblut, T., Berge, H. K. O., Aunet, S., Porrmann, M., & Rückert, U. (2013). A 65 nm 32 b Subthreshold Processor With 9T Multi-Vt SRAM and Adaptive Supply Voltage Control. IEEE Journal Of Solid-State Circuits, 48(1), 8-19. doi:10.1109/JSSC.2012.2220671
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2475063Lütkemeier, S., Jungeblut, T., Porrmann, M., & Rückert, U. (2012). A 200mV 32b Subthreshold Processor with Adaptive Supply Voltage Control. In Institute of Electrical and Electronics Engineers (Ed.), Proc. of the International Solid-State Circuits Conference (ISSCC) (pp. 484-485). Piscataway, NJ: IEEE. doi:10.1109/ISSCC.2012.6177101
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2475069Blesken, M., Lütkemeier, S., & Rückert, U. (2010). Multiobjective optimization for transistor sizing sub-threshold CMOSlogic standard cells. In Institute of Electrical and Electronics Engineers (Ed.), Proc. IEEE Int Circuits and Systems (ISCAS) Symp (pp. 1480-1483). Piscataway, NJ: IEEE. doi:10.1109/ISCAS.2010.5537349
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2010 | Konferenzbeitrag | PUB-ID: 2286628Jungeblut, T., Lütkemeier, S., Sievers, G., Porrmann, M., & Rückert, U. (2010). A modular design flow for very large design space explorations. Presented at the
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2010 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1929613Lütkemeier, S., & Rückert, U. (2010). A Subthreshold to Above-Threshold Level Shifter Comprising a Wilson Current Mirror. IEEE Transactions on Circuits and Systems II: Express Briefs, 57(9), 721-724. https://doi.org/10.1109/TCSII.2010.2056110
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2289299Lütkemeier, S., Kaulmann, T., & Rückert, U. (2009). A Sub-200mV 32bit ALU with 0.45pJ/instruction in 90nm CMOS. Semiconductor Conference Dresden
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2289096Kaulmann, T., Lütkemeier, S., & Rückert, U. (2007). IAF Neuron Implementation for Mixed-Signal PCNN Hardware. In F. Sandoval (Ed.), Lecture notes in computer science: Vol. 4507. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN) (pp. 447-454). Berlin, Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-540-73007-1_55