Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched Mtj Design
Keywords
Low-power computation; magnetic tunnel junction (MTJ); reconfigurable fabric; spin-transfer torque (STT); spintronics
Abstract
Spin-transfer torque (STT) random access memory has been researched as a promising alternative for static random access memory in reconfigurable fabrics, particularly in lookup tables (LUTs), due to its nonvolatility, low standby and static power, and high integration density features. In this brief, we leverage physical characteristics of magnetic tunnel junctions (MTJs) to design a unique reference MTJ which has a calibrated resistance matching the STT-based LUT (STT-LUT) circuit requirements to provide optimal reading operation. Results obtained show 42% and 70% power-delay product (PDP) improvement over previous MTJ-based LUT designs. Moreover, a four-input adaptive STT-based LUT (A-LUT) is proposed based on the developed STT-LUT, which is configurable to function in seven independent modes. An n-input A-LUT exhibits PDP which can be a fraction of n-input STT-LUT PDP, when performing two-input to (n-1)-input Boolean logic functions.
Publication Date
7-1-2016
Publication Title
IEEE Transactions on Circuits and Systems II: Express Briefs
Volume
63
Issue
7
Number of Pages
678-682
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TCSII.2016.2532099
Copyright Status
Unknown
Socpus ID
84977105451 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84977105451
STARS Citation
Zand, Ramtin; Roohi, Arman; Salehi, Soheil; and DeMara, Ronald F., "Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched Mtj Design" (2016). Scopus Export 2015-2019. 3503.
https://stars.library.ucf.edu/scopus2015/3503