GDOT: A graphene-based nanofunction for dot-product computation

Digest of Technical Papers - Symposium on VLSI Technology

Volumn 2016-September, Issue , 2016, Pages

  Wang, Ning C ^a   Gonugondla, Sujan K ^b   Nahlus, Ihab ^b   Shanbhag, Naresh R ^b   Pop, Eric ^a  

^a Stanford University   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CMOS INTEGRATED CIRCUITS; ENERGY EFFICIENCY; ENERGY UTILIZATION; GRAPHENE; IMAGE PROCESSING; SPICE; VLSI CIRCUITS; WSI CIRCUITS;

COMPUTATION ERRORS; DIGITAL IMPLEMENTATION; DOT PRODUCT COMPUTATIONS; INDIVIDUAL DEVICES; NEUROMORPHIC COMPUTING; PRODUCT OPERATIONS; SPICE SIMULATIONS; TWO DIMENSIONAL (2 D);

SIGNAL TO NOISE RATIO;

EID: 84990967283     PISSN: 07431562     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VLSIT.2016.7573377     Document Type: Conference Paper

References (4)

1. R. Grassi, et al., Solid. State. Electron. 100, pp. 54-60 (2014).
2. I. Nahlus, E. Kim, N. Shanbhag, D. Blaauw, ISLPED 2014.
3. S. Rakheja, et al., IEEE Trans. Nano. 13, pp. 1-23 (2014).
4. E. Carrion, et al., IEEE TED, 61, pp. 1583-1589 (2014).