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Conventional low-power static random access memories (SRAMs) reduce read energy by decreasing the bit-line voltage swings uniformly across the bit-line columns. This is because the read energy is proportional to the bit-line swings. On the…

Information Theory · Computer Science 2018-05-31 Yongjune Kim , Mingu Kang , Lav R. Varshney , Naresh R. Shanbhag

Modern DRAM is vulnerable to read disturbance (e.g., RowHammer and RowPress) that significantly undermines the robust operation of the system. Repeatedly opening and closing a DRAM row (RowHammer) or keeping a DRAM row open for a long…

Hardware Architecture · Computer Science 2025-04-28 Haocong Luo , İsmail Emir Yüksel , Ataberk Olgun , A. Giray Yağlıkçı , Onur Mutlu

As massive multiple-input multiple-output (MIMO) becomes popular, direction of arrival (DOA) measurement has been made a real renaissance due to the high-resolution achieved. Thus, there is no doubt about DOA estimation using massive MIMO.…

Information Theory · Computer Science 2023-07-18 Jiangzhou Wang , Baihua Shi , Feng Shu , Qi Zhang , Di Wu , Qijuan Jie , Zhihong Zhuang , Siling Feng , Yijin Zhang

We experimentally demonstrate the effects of read disturbance (RowHammer and RowPress) and uncover the inner workings of undocumented read disturbance defense mechanisms in High Bandwidth Memory (HBM). Detailed characterization of six real…

Micro DC brushed motors are widely deployed in battery-powered biomedical systems, where limited energy budgets and variable physiological loading impose stringent efficiency and safety constraints. However, conventional actuation…

Systems and Control · Electrical Eng. & Systems 2026-04-30 Tzu-Hsiang Huang , Haojian Lu , Hen-Wei Huang , Tan Rong

Stochastic behaviors of resistive random access memory (RRAM) play an important role in the design of cross-point memory arrays. A Monte Carlo compact model of oxide RRAM is developed and calibrated with experiments on various device stack…

Emerging Technologies · Computer Science 2019-07-19 Haitong Li , Peng Huang , Bin Gao , Xiaoyan Liu , Jinfeng Kang , H. -S. Philip Wong

Equalizer parameter optimization for signal integrity in high-speed Dynamic Random Access Memory systems is crucial but often computationally demanding or model-reliant. This paper introduces a data-driven framework employing learned latent…

Machine Learning · Computer Science 2025-07-04 Muhammad Usama , Dong Eui Chang

Quantum computers have shown promise in improving algorithms in a variety of fields. The realization of these advancements is limited by the presence of noise and high error rates, which become prominent especially with increasing system…

Quantum Physics · Physics 2025-06-05 Melody Lee

Interest in derivative-free optimization (DFO) and "evolutionary strategies" (ES) has recently surged in the Reinforcement Learning (RL) community, with growing evidence that they can match state of the art methods for policy optimization…

Realizing high-throughput aberration-corrected Scanning Transmission Electron Microscopy (STEM) exploration of atomic structures requires rapid tuning of multipole probe correctors while compensating for the inevitable drift of the optical…

Machine Learning · Computer Science 2026-01-28 Utkarsh Pratiush , Austin Houston , Richard Liu , Gerd Duscher , Sergei Kalinin

We consider a multiple-access channel where the users are powered from batteries having non-negligible internal resistance. When power is drawn from the battery, a variable fraction of the power, which is a function of the power drawn from…

Information Theory · Computer Science 2018-01-16 Rajshekhar Vishweshwar Bhat , Mehul Motani , Teng Joon Lim

Resistive random-access memory (RRAM) is gaining popularity due to its ability to offer computing within the memory and its non-volatile nature. The unique properties of RRAM, such as binary switching, multi-state switching, and device…

Emerging Technologies · Computer Science 2024-07-08 Simranjeet Singh , Farhad Merchant , Sachin Patkar

The energy consumption of DRAM is a critical concern in modern computing systems. Improvements in manufacturing process technology have allowed DRAM vendors to lower the DRAM supply voltage conservatively, which reduces some of the DRAM…

The use of directly modulated lasers (DMLs) is attractive in low-power, cost-constrained short-reach optical links. However, their limited modulation bandwidth can induce waveform distortion, undermining their data throughput. Traditional…

Signal Processing · Electrical Eng. & Systems 2024-06-21 Sergio Hernandez F. , Christophe Peucheret , Francesco Da Ros , Darko Zibar

Model Predictive Control (MPC)-based Reinforcement Learning (RL) offers a structured and interpretable alternative to Deep Neural Network (DNN)-based RL methods, with lower computational complexity and greater transparency. However,…

Systems and Control · Electrical Eng. & Systems 2025-07-15 Hossein Nejatbakhsh Esfahani , Javad Mohammadpour Velni

Reference-free preference optimization has emerged as an efficient alternative to reinforcement learning from human feedback, with Simple Preference Optimization(SimPO) demonstrating strong performance by eliminating the explicit reference…

Machine Learning · Computer Science 2026-05-13 Zhengyuan Fan , Zhonghua Wu , Yuxuan Du , Qun Chen

Sub/Near-threshold static random-access memory (SRAM) design is crucial for addressing the memory bottleneck in energy-constrained applications. However, the high integration density and reliability under process variations demand an…

Hardware Architecture · Computer Science 2022-02-25 Shan Shen , Peng Cao , Ming Ling , Longxing Shi

Multiple reads of the same Flash memory cell with distinct word-line voltages provide enhanced precision for LDPC decoding. In this paper, the word-line voltages are optimized by maximizing the mutual information (MI) of the quantized…

Information Theory · Computer Science 2014-02-20 Jiadong Wang , Kasra Vakilinia , Tsung-Yi Chen , Thomas Courtade , Guiqiang Dong , Tong Zhang , Hari Shankar , Richard Wesel

Despite the impressive search rate of one key per clock cycle, the update stage of a random-access-memory-based content-addressable-memory (RAM-based CAM) always suffers high latency. Two primary causes of such latency include: (1) the…

Hardware Architecture · Computer Science 2018-06-28 Xuan-Thuan Nguyen , Trong-Thuc Hoang , Hong-Thu Nguyen , Katsumi Inoue , Cong-Kha Pham

In this paper, we present a new 9T SRAM cell that has good write-ability and improves read stability at the same time. Simulation results show that the proposed design increases Read SNM (RSNM) and Ion/Ioff of read path by 219% and 113%,…

Hardware Architecture · Computer Science 2019-01-07 Ghasem Pasandi , Sied Mehdi Fakhraei