2017/11/12 by Chenyun Pan, Pan, Chenyun, Azad Naeemi +1
Engineering · #Advanced Memory and Neural Computing #Advancements in Semiconductor Devices and Circuit Design #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Semiconductor materials and devices
paper · pdf · doi:10.48550/arxiv.1711.04295
openalex publication_date 2017/11/12 · openalex created_date 2017/12/04 · openalex updated_date 2026/07/28
The latest results of benchmarking research are presented for a variety of beyond-CMOS charge- and spin-based devices. In addition to improving the device-level models, several new device proposals and a few majorly modified devices are investigated. Deep pipelining circuits are employed to boost the throughput of low-power devices. Furthermore, the benchmarking methodology is extended to interconnect-centric analyses and non-Boolean logic applications. In contrast to Boolean circuits, non-Boolean circuits based on the cellular neural network demonstrate that spintronic devices can potentially outperform conventional CMOS devices.