An ultralow-power memory-based big-data computing platform by nonvolatile domain-wall nanowire devices

• Main Authors: Wang, Yuhao, Yu, Hao
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/100920; http://hdl.handle.net/10220/18215; http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6629318&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6629318
• Institution: Nanyang Technological University

As one recently introduced non-volatile memory (NVM) device, domain-wall nanowire (or race-track) has shown potential for main memory storage but also computing capability. In this paper, the domain-wall nanowire is studied for a memory-based computing platform towards ultra-low-power big-data processing. One domain-wall nanowire based logic-in-memory architecture is proposed for big-data processing, where the domain-wall nanowire memory is deployed as main memory for data storage as well as XOR-logic for comparison and addition operations. The domain-wall nanowire based logic-in-memory circuits are evaluated by SPICE-level verifications. Further evaluated by applications of general-purpose SPEC2006 benchmark and also web-searching oriented Phoenix benchmark, the proposed computing platform can exhibit a significant power saving on both main memory and ALU under the similar performance when compared to CMOS based designs.