Ultra-low-energy computing paradigm using giant spin Hall devices

TL;DR

This paper explores an energy-efficient computing paradigm using giant spin Hall devices, demonstrating reduced energy dissipation and faster switching by optimizing device geometry and magnetization dynamics.

Contribution

It introduces a methodology to minimize energy, delay, and variability in spin Hall devices through device scaling and dynamic control of magnetization.

Findings

Reduced energy dissipation in scaled devices

Faster switching with lower delay and variance

Effective control of magnetization dynamics

Abstract

Spin Hall effect converts charge current to spin current, which can exert spin-torque to switch the magnetization of a nanomagnet. Recently, it is shown that the ratio of spin current to charge current using spin Hall effect can be made more than unity by using the areal geometry judiciously, unlike the case of conventional spin-transfer-torque switching of nanomagnets. This can enable energy-efficient means to write a bit of information in nanomagnets. Here, we study the energy dissipation in such spin Hall devices. By solving stochastic Landau-Lifshitz-Gilbert equation of magnetization dynamics in the presence of room temperature thermal fluctuations, we show a methodology to simultaneously reduce switching delay, its variance and energy dissipation, while lateral dimensions of the spin Hall devices are scaled down.