Heterogeneous Energy-Sparing Reconfigurable Logic: Spin-Based Storage And Cnfet-Based Multiplexing
Abstract
Field programmable gate array (FPGA) attributes of logic configurability, bitstream storage, and dynamic signal routing can be realised by leveraging the complementary benefits of emerging devices with complementary metal oxide semiconductor (CMOS)-based devices. A novel carbon/magnet lookup table (CM-LUT) is developed and evaluated by trading off a range of mixed heterogeneous technologies to balance energy, delay, and reliability attributes. Herein, magnetic spintronic devices are employed in the configuration memory to contribute non-volatility and high scalability. Meanwhile, carbon nanotube field-effect transistors (CNFETs) provide desirable conductivity, low delay, and low power consumption. The proposed CM-LUT offers ultra-low power and high-speed operation while maintaining high endurance re-programmability with increased radiation-induced soft-error immunity. The proposed four-input one-output CM-LUT utilises 41 CNFETs and 20 magnetic tunnel junctions for read operations and 35 CNFET to perform write operations. Results indicate that CM-LUT achieves an average four-fold energy reduction, eight-fold faster circuit operation and 9.3% reconfiguration power delay product improvement in comparison with spin-based look-up tables. Finally, additional hybrid technology designs are considered to balance performance with the demands of energy consumption for near-threshold operation.
Publication Date
5-1-2017
Publication Title
IET Circuits, Devices and Systems
Volume
11
Issue
3
Number of Pages
274-279
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1049/iet-cds.2016.0216
Copyright Status
Unknown
Socpus ID
85020258079 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85020258079
STARS Citation
Gopi Krishna, Mohan Krishna; Roohi, Arman; Zand, Ramtin; and DeMara, Ronald F., "Heterogeneous Energy-Sparing Reconfigurable Logic: Spin-Based Storage And Cnfet-Based Multiplexing" (2017). Scopus Export 2015-2019. 5632.
https://stars.library.ucf.edu/scopus2015/5632