Quantitative modeling of racetrack memory, a tradeoff among area, performance, and power | IEEE Conference Publication | IEEE Xplore

Quantitative modeling of racetrack memory, a tradeoff among area, performance, and power


Abstract:

Recently, an emerging non-volatile memory called Racetrack Memory (RM) becomes promising to satisfy the requirement of increasing on-chip memory capacity. RM can achieve ...Show More

Abstract:

Recently, an emerging non-volatile memory called Racetrack Memory (RM) becomes promising to satisfy the requirement of increasing on-chip memory capacity. RM can achieve ultra-high storage density by integrating many bits in a tape-like racetrack, and also provide comparable read/write speed with SRAM. However, the lack of circuit-level modeling has limited the design exploration of RM, especially in the system-level. To overcome this limitation, we develop an RM circuit-level model, with careful study of device configurations and circuit layouts. This model introduces Macro Unit (MU) as the building block of RM, and analyzes the interaction of its attributes. Moreover, we integrate the model into NVsim to enable the automatic exploration of its huge design space. Our case study of RM cache demonstrates significant variance under different optimization targets, in respect of area, performance, and energy. In addition, we show that the cross-layer optimization is critical for adoption of RM as on-chip memory.
Date of Conference: 19-22 January 2015
Date Added to IEEE Xplore: 12 March 2015
ISBN Information:

ISSN Information:

Conference Location: Chiba, Japan

Contact IEEE to Subscribe

References

References is not available for this document.