Wave Pipelining for Majority-based Beyond-CMOS Technologies

The performance of some emerging nanotechnolo- gies benefits from wave pipelining. The design of such circuits re- quires new models and algorithms. Thus we show how Majority- Inverter Graphs (MIG) can be used for this purpose and we extend the related optimization algorithms. The resulting designs have increased throughput, something that has traditionally been a weak point for the majority of non-charge-based technologies. We benchmark the algorithm on MIG netlists with three different technologies, Spin Wave Devices (SWD), Quantum-dot Cellular Automata (QCA), and NanoMagnetic Logic (NML). We find that the wave pipelined version of the netlists have an improvement in throughput over power of 23×, 13×, and 5× for SWD, QCA, and NML, respectively. In terms of throughput over area ratio, the improvement is 5×, 8×, and 3×, respectively.

Published in:
Proceedings of the Design, Automation & Test in Europe (DATE), 1306-1311
Presented at:
Design, Automation & Test in Europe (DATE), Lausanne, Switzerland, March 27-31, 2017
Mar 31 2017
ERC Cybercare 669354 / SNF MAJesty 200021-169084 / ICT COST Action IC1405

Note: The status of this file is: Anyone

 Record created 2017-01-10, last modified 2020-04-20

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