English
Related papers

Related papers: ROBIN: Incremental Oblique Interleaved ECC for Rel…

200 papers

Long-running machine learning models face the issue of concept drift (CD), whereby the data distribution changes over time, compromising prediction performance. Updating the model requires detecting drift by monitoring the data and/or the…

Machine Learning · Computer Science 2024-07-24 Cristiana Lalletti , Stefano Teso

Memory reclamation for lock-based data structures is typically easy. However, it is a significant challenge for lock-free data structures. Automatic techniques such as garbage collection are inefficient or use locks, and non-automatic…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-05 Trevor Brown

The scaling of high density NOR Flash memory devices with multi level cell (MLC) hits the reliability break wall because of relatively high intrinsic bit error rate (IBER). The chip maker companies offer two solutions to meet the output bit…

Information Theory · Computer Science 2013-06-25 Daniel L. Miller

Soft errors are a type of transient digital signal corruption that occurs in digital hardware components such as the internal flip-flops of CPU pipelines, the register file, memory cells, and even internal communication buses. Soft errors…

Software Engineering · Computer Science 2026-05-05 Yousun Ko , Bernd Burgstaller

Traditional Von Neumann computing is falling apart in the era of exploding data volumes as the overhead of data transfer becomes forbidding. Instead, it is more energy-efficient to fuse compute capability with memory where the data reside.…

We proposed and experimentally demonstrated a new hybrid code structure based on the overlapping of two light sources to produce the effect of multi-voltage amplitudes. And we also proposed an efficient polarity reversal threshold (RRT)…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Zihao Zhou , Maolin Li , Weipeng Guan

The rise of cloud computing demands secure memory systems that ensure data confidentiality, integrity, and freshness against replay attacks. Existing schemes such as AES-XTS, AES-GCM, and AES-CTR each trade performance for security, with…

Cryptography and Security · Computer Science 2026-02-13 Haoran Geng , Yuezhi Che , Dazhao Chen , Michael Niemier , Xiaobo Sharon Hu

This paper presents a novel circuit (AID) to improve the accuracy of an energy-efficient in-memory multiplier using a standard 6T-SRAM. The state-of-the-art discharge-based in-SRAM multiplication accelerators suffer from a non-linear…

Hardware Architecture · Computer Science 2022-08-03 Saeed Seyedfaraji , Baset Mesgari , Semeen Rehman

In this work, we study a recently proposed direct shaping code for flash memory. This rate-1 code is designed to reduce the wear for SLC (one bit per cell) flash by minimizing the average fraction of programmed cells when storing structured…

Information Theory · Computer Science 2020-07-14 Yi Liu , Paul H. Siegel

Purpose: To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. Methods: The Cram\'er-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed…

Medical Physics · Physics 2025-10-21 Nikita Vladimirov , Moritz Zaiss , Or Perlman

RRAM-based in-memory computing (IMC) offers high energy efficiency but suffers from conductance drift that severely degrades long-term accuracy. Existing approaches including retraining, noise-aware training, and Batch Normalization…

Hardware Architecture · Computer Science 2026-03-30 Weirong Dong , Kai Zhou , Zhen Kong , Zhengke Yang , Quan Cheng , Haoyuan Li , Junkai Huang , Jun Lan , Yida Li , Masanori Hashimoto , Longyang Lin

Purpose: Scatter artifacts drastically degrade the image quality of cone-beam computed tomography (CBCT) scans. Although deep learning-based methods show promise in estimating scatter from CBCT measurements, their deployment in mobile CBCT…

Signal Processing · Electrical Eng. & Systems 2025-09-12 Harshit Agrawal , Ari Hietanen , Simo Särkkä

Robustness to bit errors is a key requirement for the reliable use of neural networks (NNs) on emerging approximate computing platforms and error-prone memory technologies. A common approach to achieve bit error tolerance in NNs is…

Machine Learning · Computer Science 2026-03-06 Mikail Yayla , Akash Kumar

Synthetic DNA can in principle be used for the archival storage of arbitrary data. Because errors are introduced during DNA synthesis, storage, and sequencing, an error-correcting code (ECC) is necessary for error-free recovery of the data.…

Quantitative Methods · Quantitative Biology 2018-12-05 William H. Press , John A. Hawkins

`In-memory computing' is being widely explored as a novel computing paradigm to mitigate the well known memory bottleneck. This emerging paradigm aims at embedding some aspects of computations inside the memory array, thereby avoiding…

Emerging Technologies · Computer Science 2020-03-30 Mustafa Ali , Akhilesh Jaiswal , Sangamesh Kodge , Amogh Agrawal , Indranil Chakraborty , Kaushik Roy

Bond rating Transition Probability Matrices (TPMs) are built over a one-year time-frame and for many practical purposes, like the assessment of risk in portfolios or the computation of banking Capital Requirements (e.g. the new IFRS 9…

Risk Management · Quantitative Finance 2017-10-17 Greig Smith , Goncalo dos Reis

In recommendation systems, practitioners observed that increase in the number of embedding tables and their sizes often leads to significant improvement in model performances. Given this and the business importance of these models to major…

Machine Learning · Computer Science 2020-10-26 Jie Amy Yang , Jianyu Huang , Jongsoo Park , Ping Tak Peter Tang , Andrew Tulloch

This paper summarizes our work on experimental characterization and analysis of reduced-voltage operation in modern DRAM chips, which was published in SIGMETRICS 2017, and examines the work's significance and future potential. We take a…

Error bound conditions (EBC) are properties that characterize the growth of an objective function when a point is moved away from the optimal set. They have recently received increasing attention in the field of optimization for developing…

Machine Learning · Statistics 2018-05-15 Mingrui Liu , Xiaoxuan Zhang , Lijun Zhang , Rong Jin , Tianbao Yang

Write asymmetry, the significantly different write current for high-to-low and low-to-high resistance switching because of natural stochastic behaviors of magnetization, is a fundamental issue in magnetic random-access memory (MRAM). For…

Applied Physics · Physics 2021-10-26 Baiqing Jiang , Dongyang Wu , Qianwen Zhao , Kaihua Lou , Yuelei Zhao , Yan Zhou , C. Tian , Chong Bi
‹ Prev 1 8 9 10 Next ›