Nontraditional Computation Using Beyond-CMOS Tunneling Devices

Amongst potential post-CMOS technologies, tunnel field-effect transistors (TFETs) are attractive for low-power systems. While TFETs are functionally somewhat similar to MOSFETs, the newly proposed tunneling transistors such as SymFETs and BiSFETs demonstrate more “exotic” characteristics that are significantly different from MOSFETs. We look at the possible applications of TFETs and SymFETs for unconventional signal processing by employing their signature behaviors. We focus on networks of interconnected nonlinear elements which can process data coming from a large number of inputs (e.g., sensors) in an analog fashion. Specifically, we investigate several applications of TFET and SymFET in directional and anisotropic diffusion, estimating Gaussian distance of different patterns in analog associative memories, and estimating minimum/maximum or variance of analog data. We show that such circuits have reduced complexity and/or enhanced power efficiency.