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By locally encoding raw data into intermediate features, collaborative inference enables end users to leverage powerful deep learning models without exposure of sensitive raw data to cloud servers. However, recent studies have revealed that…

Machine Learning · Computer Science 2025-04-04 Song Xia , Yi Yu , Wenhan Yang , Meiwen Ding , Zhuo Chen , Ling-Yu Duan , Alex C. Kot , Xudong Jiang

DRAM is the primary technology used for main memory in modern systems. Unfortunately, as DRAM scales down to smaller technology nodes, it faces key challenges in both data integrity and latency, which strongly affect overall system…

Hardware Architecture · Computer Science 2023-03-15 Hasan Hassan

The memory system of a modern embedded processor consumes a large fraction of total system energy. We explore a range of different configuration options and show that a reconfigurable design can make better use of the resources available to…

Hardware Architecture · Computer Science 2016-01-08 Daniel Bates , Alex Chadwick , Robert Mullins

Error correction code (ECC) is an integral part of the physical communication layer, ensuring reliable data transfer over noisy channels. Recently, neural decoders have demonstrated their advantage over classical decoding techniques.…

Information Theory · Computer Science 2022-09-28 Yoni Choukroun , Lior Wolf

Broad applications of quantum computers will require error correction (EC). However, quantum hardware roadmaps indicate that physical qubit numbers will remain limited in the foreseeable future, leading to residual logical errors that limit…

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

Due to the globalization in the semiconductor supply chain, counterfeit dynamic random-access memory (DRAM) chips/modules have been spreading worldwide at an alarming rate. Deploying counterfeit DRAM modules into an electronic system can…

Cryptography and Security · Computer Science 2021-06-29 B. M. S. Bahar Talukder , Vineetha Menon , Biswajit Ray , Tempestt Neal , Md Tauhidur Rahman

The emergence of resistive non-volatile memories opens the way to highly energy-efficient computation near- or in-memory. However, this type of computation is not compatible with conventional ECC, and has to deal with device unreliability.…

Emerging Technologies · Computer Science 2020-07-14 Marc Bocquet , Tifenn Hirtzlin , Jacques-Olivier Klein , Etienne Nowak , Elisa Vianello , Jean-Michel Portal , Damien Querlioz

Power dissipation and energy consumption have become one of the most important problems in the design of processors today. This is especially true in power-constrained environments, such as embedded and mobile computing. While lowering the…

Hardware Architecture · Computer Science 2011-11-22 Sourya Roy , Tyler Clemons , S M Faisal , Ke Liu , Nikos Hardavellas , Srinivasan Parthasarathy

Graphics processing units (GPUs) are gaining widespread use in computational chemistry and other scientific simulation contexts because of their huge performance advantages relative to conventional CPUs. However, the reliability of GPUs in…

Hardware Architecture · Computer Science 2009-11-14 Imran S. Haque , Vijay S. Pande

Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-term quantum advantage. However, recent studies have shown that noise can severely limit the trainability of VQAs, e.g., by exponentially flattening the cost…

Quantum Physics · Physics 2024-03-14 Samson Wang , Piotr Czarnik , Andrew Arrasmith , M. Cerezo , Lukasz Cincio , Patrick J. Coles

Modern computing systems are limited in performance by the memory bandwidth available to processors, a problem known as the memory wall. Processing-in-Memory (PIM) promises to substantially improve this problem by moving processing closer…

Cryptography and Security · Computer Science 2025-04-24 Sahar Ghoflsaz Ghinani , Jingyao Zhang , Elaheh Sadredini

Emerging applications, such as big data analytics and machine learning, require increasingly large amounts of main memory, often exceeding the capacity of current commodity processors built on DRAM technology. To address this, recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-27 Manel Lurbe , Miguel Avargues , Salvador Petit , Maria E. Gomez , Rui Yang , Guanhao Wang , Julio Sahuquillo

Our ISCA 2013 paper provides a fundamental empirical understanding of two major factors that make it very difficult to determine the minimum data retention time of a DRAM cell, based on the first comprehensive experimental characterization…

Hardware Architecture · Computer Science 2023-06-29 Onur Mutlu

Spin-Transfer Torque Magnetic RAM (STT-MRAM) as one of the most promising replacements for SRAMs in on-chip cache memories benefits from higher density and scalability, near-zero leakage power, and non-volatility, but its reliability is…

Hardware Architecture · Computer Science 2026-01-05 Elham Cheshmikhani , Hamed Farbeh , Hossein Asadi

This paper summarizes our work on characterizing application memory error vulnerability to optimize datacenter cost via Heterogeneous-Reliability Memory (HRM), which was published in DSN 2014, and examines the work's significance and future…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-11 Yixin Luo , Sriram Govindan , Bikash Sharma , Mark Santaniello , Justin Meza , Aman Kansal , Jie Liu , Badriddine Khessib , Kushagra Vaid , Onur Mutlu

Write disturbance error (WDE) appears as a serious reliability problem preventing phase-change memory (PCM) from general commercialization, and therefore several studies have been proposed to mitigate WDEs. Verify-and-correction (VnC)…

Hardware Architecture · Computer Science 2022-08-10 Hyokeun Lee , Seungyong Lee , Byeongki Song , Moonsoo Kim , Seokbo Shim , Hyuk-Jae Lee , Hyun Kim

The error correcting performance of multi-level-cell (MLC) NAND flash memory is closely related to the block length of error correcting codes (ECCs) and log-likelihood-ratios (LLRs) of the read-voltage thresholds. Driven by this issue, this…

Information Theory · Computer Science 2020-04-14 Cheng Wang , Kang Wei , Lingjun Kong , Long Shi , Zhen Mei , Jun Li , Kui Cai

Trusted processors provide a way to perform joint computations while preserving data privacy. To overcome the performance degradation caused by data-oblivious algorithms to prevent information leakage, we explore the benefits of oblivious…

Cryptography and Security · Computer Science 2026-01-01 Jiping Yu , Xiaowei Zhu , Kun Chen , Guanyu Feng , Yunyi Chen , Xiaoyu Fan , Wenguang Chen

Variation has been shown to exist across the cells within a modern DRAM chip. We empirically demonstrate a new form of variation that exists within a real DRAM chip, induced by the design and placement of different components in the DRAM…

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