Exploring Spin-Transfer-Torque Devices for Logic Applications

TL;DR

This paper proposes a systematic methodology for optimizing all spin logic (ASL) circuits and evaluates their viability for various applications, highlighting key challenges like power consumption and switching speed.

Contribution

It introduces a comprehensive synthesis methodology for ASL circuits and assesses their performance across diverse benchmarks, identifying critical limitations.

Findings

Large current requirements hinder high-speed switching.

Static power dissipation is significant in metallic devices.

Interconnect spin flip length limits device performance.

Abstract

As CMOS nears the end of the projected scaling roadmap, significant effort has been devoted to the search for new materials and devices that can realize memory and logic. Spintronics, is one of the promising directions for the Post-CMOS era. While the potential of spintronic memories is relatively well known, realizing logic remains an open and critical challenge. All Spin Logic (ASL) is a recently proposed logic style that realizes Boolean logic using spin-transfer-torque (STT) devices based on the principle of non-local spin torque. ASL has advantages such as density, non-volatility, and low operating voltage. However, it also suffers from drawbacks such as low speed and static power dissipation. Recent work has shown that, in the context of simple arithmetic circuits (adders, multipliers), the efficiency of ASL can be greatly improved using techniques that utilize its unique characteristics. An evaluation of ASL across a broad range of circuits, considering the known optimization techniques, is an important next step in determining its viability. In this work, we propose a systematic methodology for the synthesis of ASL circuits. Our methodology performs various optimizations that benefit ASL, such as intra-cycle power gating, stacking of ASL nanomagnets, and fine-grained logic pipelining. We utilize the proposed methodology to evaluate the suitability of ASL implementations for a wide range of benchmarks viz. random combinational and sequential logic, digital signal processing circuits, and the Leon SPARC3 general-purpose processor. Based on our evaluation, we identify (i) the large current requirement of nanomagnets at fast switching speeds, (ii) the static power dissipation in the all-metallic devices, and (iii) the short spin flip length in interconnects as key bottlenecks that limit the competitiveness of ASL.