DocumentCode :
3498148
Title :
An ultralow-power memory-based big-data computing platform by nonvolatile domain-wall nanowire devices
Author :
Yuhao Wang ; Hao Yu
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
329
Lastpage :
334
Abstract :
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.
Keywords :
MRAM devices; formal verification; low-power electronics; magnetic domain walls; nanotube devices; nanowires; ALU; CMOS based designs; Phoenix benchmark; SPICE-level verifications; XOR-logic; big-data processing; computing capability; data storage; domain-wall nanowire memory; general purpose SPEC2006 benchmark; logic-in-memory architecture; nonvolatile domain-wall nanowire devices; nonvolatile memory device; racetrack memory; ultra low-power memory-based computing platform; Magnetic tunneling; Magnetization; Nanoscale devices; Nonvolatile memory; Random access memory; Switches; Transistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Low Power Electronics and Design (ISLPED), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-1234-6
Type :
conf
DOI :
10.1109/ISLPED.2013.6629318
Filename :
6629318
Link To Document :
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