This brief proposes the first concept and analysis of CD-CiM using nonvolatile memory (NVM) devices. The design implementation and performance evaluation are based on a proposed 2-transistor-1-capacitor (2T1C) CiM macro using ferroelectric field-effect-transistors (FeFETs), which is free from ...
which allows for high memory density and a streamlined fabrication process. They embody the essence of traditional capacitors, mitigating DC current and reducing static power consumption, obviating the need for selector devices. In addition to the aforementioned benefits, FeFETs offer...
Computing-in-memory with emerging non-volatile memory (nvCiM) is shown to be a promising candidate for accelerating deep neural networks (DNNs) with high energy efficiency. However, most non-volatile memory (NVM) devices suffer from reliability issues, resulting in a difference between actual data...
voltage had an amplitude of 100 mV with a frequency of 1 kHz. c, CV curve shifting due to the injection of charges. The device had a memory in this case. d–f, Analogue value writing with pulse number modulation (constant write height) (d), pulse height modulation (the voltage ...
In this section, we provide an essential introduction toneuromorphic,in-memory,reservoir,andhyperdimensionalcomputing. This tutorial section is intended for readers from different backgrounds to get familiar with the main ideas in each approach. Furthermore, several literature reviews and surveys have alr...
In the semiconductor/systems world, in-memory computing has the same basic principle with a different twist—you bring memory closer or inside the processing functions in various systems. In the past, this this technology was sometimes referred to as “processing in memory.” For years, vendors ...
2. Hf-based ferroelectric in logic 3. Hf-based ferroelectric in memory 4. Hf-based ferroelectric in neuromorphic computing 5. Perspectives Declaration of competing interest Acknowledgments Data availability References VitaeShow full outline Figures (13) Show 7 more figures Tables (1) Table 1Solid...
The growing computational demand in artificial intelligence calls for hardware solutions that are capable of in situ machine learning, where both training and inference are performed by edge computation. This not only requires extremely energy-efficient architecture (such as in-memory computing) but ...
Large arrays integration of FeFETs in the same platform as logic CMOS have been successfully demonstrated24. HfO2-based FeFETs have been investigated in a wide range of applications including logic25, nonvolatile memory array24, ternary content-addressable memory26, and computing-in-memory27,28,29...
17. A system comprising: a memory; a processor circuitry to execute one or more instructions; and a communication interface to allow the processor circuitry to communicate with another device, wherein the processor circuitry includes: a node; a first capacitor having a first terminal to receive ...