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Cross-layer racetrack memory design for ultra high density and low power consumption

Publication ,  Conference
Sun, Z; Wu, W; Li, H
Published in: Proceedings - Design Automation Conference
July 12, 2013

The racetrack memory technology utilizes magnetic domains along a nanoscopic wire to obtain ultra-high data storage density. The recent success in the planar racetrack nanowire promised its fabrication feasibility and future scalability, bringing more design challenges and opportunities. In this paper, we initialize the optimization of racetrack memory embracing design considerations across multiple layers, including cell design, array structure, architecture organization, and data management. Our evaluation shows that racetrack memory based cache can achieve 6.4× area reduction, 25% performance enhancement, and 62% energy saving, compared to STT-RAM cache design. The benefit over SRAM technology is even more significant. Copyright © 2013 ACM.

Duke Scholars

Published In

Proceedings - Design Automation Conference

DOI

ISSN

0738-100X

ISBN

9781450320719

Publication Date

July 12, 2013
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sun, Z., Wu, W., & Li, H. (2013). Cross-layer racetrack memory design for ultra high density and low power consumption. In Proceedings - Design Automation Conference. https://doi.org/10.1145/2463209.2488799
Sun, Z., W. Wu, and H. Li. “Cross-layer racetrack memory design for ultra high density and low power consumption.” In Proceedings - Design Automation Conference, 2013. https://doi.org/10.1145/2463209.2488799.
Sun Z, Wu W, Li H. Cross-layer racetrack memory design for ultra high density and low power consumption. In: Proceedings - Design Automation Conference. 2013.
Sun, Z., et al. “Cross-layer racetrack memory design for ultra high density and low power consumption.” Proceedings - Design Automation Conference, 2013. Scopus, doi:10.1145/2463209.2488799.
Sun Z, Wu W, Li H. Cross-layer racetrack memory design for ultra high density and low power consumption. Proceedings - Design Automation Conference. 2013.

Published In

Proceedings - Design Automation Conference

DOI

ISSN

0738-100X

ISBN

9781450320719

Publication Date

July 12, 2013