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Defect-Aware Configurable Computing in Nanoscale Crossbar for Improved Yield
Heraklion, Crete, Greece July 08-July 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IOLTS.2007.2513th IEEE International On-Line Testi ...
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Somnath Paul, Case Western Reserve University, USA
Rajat Subhra. Chakraborty, Case Western Reserve University, USA
Swarup Bhunia, Case Western Reserve University, USA
High defect rate in emerging nano-devices mandates new computational models that can tolerate defects thereby rendering reliability of operation and reasonable manufacturing yield. In a bottom-up system design approach using nano-crossbar applications are typically mapped into a crossbar using either PLA or lookup table (LUT) implementation of a logic circuits. LUT-based implementation has some definite advantages over PLA-based one due its easy reconfigurability. In this paper, we consider a LUT-based logic design paradigm using nano-crossbar and propose a novel application mapping technique that can effectively take advantage of certain defects in the LUTs. The main idea is: 1) to identify and localize the unidirectional stuck-at faults in the LUTs and 2) then map an application in such a way that the a particular defective LUT is used to map a Boolean function which is compatible with the behavior of the LUT. The idea of exploiting certain defects to implement a function (as opposed to discard the defective location as unusable), improves yield considerably in LUT-based configurable nanocomputing. Our simulation with 5X5 and 5X1 LUT shows an average improvement of 87% in number of mapped function over conventional mapping for a defect rate of 10%.
Citation:
Somnath Paul, Rajat Subhra. Chakraborty, Swarup Bhunia, "Defect-Aware Configurable Computing in Nanoscale Crossbar for Improved Yield," iolts, pp.29-36, 13th IEEE International On-Line Testing Symposium (IOLTS 2007), 2007
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