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Journal ArticleDOI

80-kb Logic Embedded High-K Charge Trap Transistor-Based Multi-Time-Programmable Memory With No Added Process Complexity

TLDR
The design and implementation of an 80-kb logic-embedded non-volatile multi-time programmable memory (MTPM) with no added process complexity is described and high-temperature stress results show a projected data retention of 10 years at 125 °C.
Abstract
This paper describes the design and implementation of an 80-kb logic-embedded non-volatile multi-time programmable memory (MTPM) with no added process complexity. Charge trap transistors (CTTs) that exploit charge trapping and de-trapping behavior in high-K dielectric of 32-/22-nm Logic FETs are used as storage elements with logic-compatible programming voltages. A high-gain slew-sense amplifier (SA) is used to efficiently detect the threshold voltage difference ( $\Delta V_{\textrm {DIF}}$ ) between the true and complement FETs in the twin cell. Design-assist techniques including multi-step programming with over-write protection and block write algorithm are used to enhance the programming efficiency without causing a dielectric breakdown. High-temperature stress results show a projected data retention of 10 years at 125 °C with a signal loss of <30% that is margined in while programming, by employing a sense margining logic in the SA. Scalability of CTT has been established by the first demonstration of CTT-based MTPM in 14-nm bulk FinFET technology with read cycle time of 40 ns at 0.7-V VDD.

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Citations
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Journal ArticleDOI

Total Ionizing Dose Responses of 22-nm FDSOI and 14-nm Bulk FinFET Charge-Trap Transistors

TL;DR: In this paper, total ionizing-dose (TID) effects for 22-nm fully-depleted silicon-on-insulator (FDSOI) and 14-nm bulk FinFET charge-trap memory transistors were investigated.
Journal ArticleDOI

Fully-CMOS Multi-Level Embedded Non-Volatile Memory Devices With Reliable Long-Term Retention for Efficient Storage of Neural Network Weights

TL;DR: A fully CMOS-compatible multi-level non-volatile memory technology, especially suitable for storing the weights of artificial neural networks on chip with low cost, high density, and high power-efficiency is presented.
Journal ArticleDOI

CTT-Based Scalable Neuromorphic Architecture

TL;DR: In this paper , a novel spiking neuromorphic architecture is presented based on charge-trap transistors (CTTs) which are experimentally verified compute-in-memory devices.
Proceedings ArticleDOI

Design of a Delta Threshold Voltage Difference based fully Embedded Read Only Memory along with a Skew Sense Amplifier

TL;DR: A fast, on-chip solution is proposed in this technical paper wherein logic transistors are used to design a read only memory with completely zero added process complexity.
References
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Proceedings ArticleDOI

A Comparative Study of NBTI and PBTI (Charge Trapping) in SiO2/HfO2 Stacks with FUSI, TiN, Re Gates

TL;DR: In this paper, the authors present a comparative study of NBTI and PBTI for a variety of FETs with different dielectric stacks and gate materials, including SiO 2/NiSi and SiO2/HfO2 devices with TiN and Re as gates.
Proceedings ArticleDOI

Electrically Programmable Fuse (eFUSE): From Memory Redundancy to Autonomic Chips

TL;DR: The evolution and applications of electrical fuse solutions for 180 nm to 45 nm technologies at IBM are reviewed, and some insight into future uses in 32 nm technology and beyond with the eFUSE as a building block for the autonomic chip of the future is provided.
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