Circuits

Benchmarking of FERAM-Based Memory System by Optimizing Ferroelectric Device Model

Benchmarking of FERAM-Based Memory System by Optimizing Ferroelectric Device Model 150 150

Abstract:

We present a framework for design technology co-optimization (DTCO) of the main memory system with one transistor-one capacitor (1T1C) ferroelectric random access memory (FERAM) as an alternative to dynamic random access memory (DRAM). We start with the ferroelectric capacitor device model and perform array-level memory circuit simulation. Then, we …

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A Bit-Cell Failure Analysis Framework for Ferroelectric Field-Effect Transistor-Based Memories

A Bit-Cell Failure Analysis Framework for Ferroelectric Field-Effect Transistor-Based Memories 150 150

Abstract:

The ferroelectric field-effect transistor (FeFET) is a promising memory device technology due to desirable attributes, such as fast access times, high memory cell density, good endurance, compatibility with CMOS process, and impressive scalability. While previous research has explored the impact of process variations at the device level, their effects on …

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3-D Stacked HBM and Compute Accelerators for LLM: Optimizing Thermal Management and Power Delivery Efficiency

3-D Stacked HBM and Compute Accelerators for LLM: Optimizing Thermal Management and Power Delivery Efficiency 150 150

Abstract:

Advanced packaging is becoming essential for designing hardware accelerators for large language models (LLMs). Different architectures, such as 2.5-D integration of memory with logic, have been proposed; however, the bandwidth limits the throughput of the complete system. Recent works have proposed memory on logic systems, where high bandwidth memory (HBM) …

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A 28-nm Computing-in-Memory Processor With Zig-Zag Backbone-Systolic CIM and Block-/Self-Gating CAM for NN/Recommendation Applications

A 28-nm Computing-in-Memory Processor With Zig-Zag Backbone-Systolic CIM and Block-/Self-Gating CAM for NN/Recommendation Applications 150 150

Abstract:

Computing-in-memory (CIM) chips have demonstrated promising energy efficiency for artificial intelligence (AI) applications such as neural networks (NNs), Transformer, and recommendation system (RecSys). However, several challenges still exist. First, a large gap between the macro and system-level CIM energy efficiency is observed. Second, several memory-dominate operations, such as embedding in …

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A Fully-Dynamic Capacitive Touch Sensor With Tri-level Energy Recycling and Compressive Sensing Technique

A Fully-Dynamic Capacitive Touch Sensor With Tri-level Energy Recycling and Compressive Sensing Technique 150 150

Abstract:

Capacitive touch screens have become the dominant user interface over the past decade. Achieving high framerates with low power consumption remains a critical design goal for touch systems. The conventional charge-recycling technique reduces driving power by 64%, but it relies on off-chip capacitors. To address this issue, we propose a tri-level …

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Reference-Load Sharing Scheme: An Area- and Energy-Efficient Nonvolatile Register Design Using MTJ Devices

Reference-Load Sharing Scheme: An Area- and Energy-Efficient Nonvolatile Register Design Using MTJ Devices 150 150

Abstract:

This article proposes a circuit configuration for an area- and energy-efficient nonvolatile register using magnetic tunnel junction (MTJ) devices, suitable for persistent computation in intermittent computing environments. The proposed configuration, named the reference-load sharing scheme (RLSS), stores 1 bit of information using the resistance of a dedicated MTJ device and a …

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SLiMDO: A Single-Link Multi-Domain-Output Isolated DC–DC Converter With Passive Magnetic Flux Sharing for Local Energy Distribution and Rx Behavior Sensing-Based Global Power Modulation

SLiMDO: A Single-Link Multi-Domain-Output Isolated DC–DC Converter With Passive Magnetic Flux Sharing for Local Energy Distribution and Rx Behavior Sensing-Based Global Power Modulation 150 150

Abstract:

This article introduces a small form-factor single-link multi-domain-output (SLiMDO) isolated dc–dc converter design. The proposed design provides two regulated outputs in separate domains in the receiver (Rx) side with a single micro-transformer. These isolated Rxes achieve local voltage regulation and automatic energy distribution across domains through passive magnetic flux …

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24.86 Gb/s Full-Digital Chaos Random Number 1.53 GSamples/s Noise Generator in 40nm CMOS

24.86 Gb/s Full-Digital Chaos Random Number 1.53 GSamples/s Noise Generator in 40nm CMOS 150 150

Abstract:

This letter presents a fully digital true random number generator (TRNG) and noise generator (NG) based on a chaos system. We design the chaos random number generator (CRNG) using the proposed Euler-based modified Lorenz system with periodic perturbation and modified modulo unit. The chaos NG (CNG) processor integrates the CRNG …

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FIMA: A Scalable Ferroelectric Compute-in-Memory Annealer for Accelerating Boolean Satisfiability

FIMA: A Scalable Ferroelectric Compute-in-Memory Annealer for Accelerating Boolean Satisfiability 150 150

Abstract:

In-memory compute kernels present a promising approach for addressing data-centric workloads. However, their scalability—particularly for computationally intensive tasks solving combinatorial optimization problems such as Boolean satisfiability (SAT), which are inherently difficult to decompose—remains a significant challenge. In this work, we propose a ferroelectric nonvolatile memory (NVM)-based compute-in-memory …

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