Ultra-Low Power Nanomagnet-Based Computing: A System-Level Perspective

MOSFET scaling is facing overwhelming challenges with increased parameter variations, exponentially higher leakage current, and higher power density. Thus, researchers have started looking at alternative switching devices and spintronics-based computing paradigms. Nanomagnet-based computing is one such paradigm with intrinsic switching energy close to thermal limits and scalability down to 5 nm. In this paper, we explore the possibility of nanomagnet-based design using nonmajority gates. The design approach can offer significant area, delay, and energy advantages compared to majority-gate-based designs. Moreover, new clock technologies and architectures are developed to improve computation robustness and power dissipation of nanomagnet systems. We also developed a comprehensive device/circuit/system compatible simulation framework to evaluate the functionality and architecture of a nanomagnet system and conducted a feasibility/comparison study to determine the effectiveness of the technology compared to standard digital electronics. Performance results from a nanomagnet-based 16-point discrete cosine transform (DCT) with enhanced clock architecture, narrow gap cladding of nanomagnets, or embedding nanomagnets in solenoid with steel core, together with near neighbor system architecture, show up to 10 × improvement over subthreshold 15 nm CMOS (Vdd = 90 mV) design, using “energy-delay0.5-area product (ED0.5 A)” as comparison metric. Finally, we explored the scalability of nanomagnets and the effectiveness of field-based switching.

[1]  S. Datta,et al.  Interacting systems for self-correcting low power switching , 2006, cond-mat/0611569.

[2]  G.E. Moore,et al.  Cramming More Components Onto Integrated Circuits , 1998, Proceedings of the IEEE.

[3]  J. W. Brown Thermal Fluctuations of a Single-Domain Particle , 1963 .

[4]  William J. Gallagher,et al.  Two-dimensional magnetic switching of micron-size films in magnetic tunnel junctions , 2000 .

[5]  S. Datta,et al.  Switching Energy of Ferromagnetic Logic Bits , 2009, IEEE Transactions on Nanotechnology.

[6]  Saied N. Tehrani,et al.  A 1-Mbit MRAM based on 1T1MTJ bit cell integrated with copper interconnects , 2003, IEEE J. Solid State Circuits.

[7]  H. Al-Asaad,et al.  On-line built-in self-test for operational faults , 2000, 2000 IEEE Autotestcon Proceedings. IEEE Systems Readiness Technology Conference. Future Sustainment for Military Aerospace (Cat. No.00CH37057).

[8]  Lev Davidovich Landau,et al.  ON THE THEORY OF THE DISPERSION OF MAGNETIC PERMEABILITY IN FERROMAGNETIC BODIES , 1935 .

[9]  Ming-Chang Wu,et al.  A unified systolic array for discrete cosine and sine transforms , 1991, IEEE Trans. Signal Process..

[10]  D. Nikonov,et al.  Research directions in beyond CMOS computing , 2007 .

[11]  William J. Gallagher,et al.  Exchange-biased magnetic tunnel junctions and application to nonvolatile magnetic random access memory (invited) , 1999 .

[12]  J.S. Harris,et al.  Magnetic coupled spin-torque devices and magnetic ring oscillator , 2008, 2008 IEEE International Electron Devices Meeting.

[13]  J. Katine,et al.  Time-resolved reversal of spin-transfer switching in a nanomagnet. , 2004, Physical review letters.

[14]  Kaushik Roy,et al.  Robust subthreshold logic for ultra-low power operation , 2001, IEEE Trans. Very Large Scale Integr. Syst..

[15]  Wolfgang Porod,et al.  Clocking structures and power analysis for nanomagnet-based logic devices , 2007, Proceedings of the 2007 international symposium on Low power electronics and design (ISLPED '07).

[16]  RoyKaushik,et al.  Robust subthreshold logic for ultra-low power operation , 2001 .

[17]  Li Sun,et al.  Tuning the properties of magnetic nanowires , 2006, IBM J. Res. Dev..

[18]  D.A. Antoniadis,et al.  MOSFET Performance Scaling—Part I: Historical Trends , 2008, IEEE Transactions on Electron Devices.

[19]  Kaushik Roy,et al.  A design methodology and device/circuit/architecture compatible simulation framework for low-power Magnetic Quantum Cellular Automata systems , 2009, 2009 Asia and South Pacific Design Automation Conference.

[20]  A Imre,et al.  Majority Logic Gate for Magnetic Quantum-Dot Cellular Automata , 2006, Science.

[21]  C. Coillot,et al.  High magnetic field amplification for improving the sensitivity of Hall sensors , 2006, IEEE Sensors Journal.