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We consider the local rank-modulation scheme in which a sliding window going over a sequence of real-valued variables induces a sequence of permutations. Local rank-modulation is a generalization of the rank-modulation scheme, which has…

Information Theory · Computer Science 2011-03-03 Eyal En Gad , Michael Langberg , Moshe Schwartz , Jehoshua Bruck

Local rank modulation scheme was suggested recently for representing information in flash memories in order to overcome drawbacks of rank modulation. For $s\leq t\leq n$ with $s|n$, $(s,t,n)$-LRM scheme is a local rank modulation scheme…

Information Theory · Computer Science 2013-11-20 Michal Horovitz

Local rank modulation scheme was suggested recently for representing information in flash memories in order to overcome drawbacks of rank modulation. For $0 < s\leq t\leq n$ with $s$ divides $n$, an $(s,t,n)$-LRM scheme is a local rank…

Information Theory · Computer Science 2014-04-22 Michal Horovitz , Tuvi Etzion

The current flash memory technology focuses on the cost minimization of its static storage capacity. However, the resulting approach supports a relatively small number of program-erase cycles. This technology is effective for consumer…

Information Theory · Computer Science 2015-01-05 Eyal En Gad , Eitan Yaakobi , Anxiao , Jiang , Jehoshua Bruck

Rank modulation has been recently proposed as a scheme for storing information in flash memories. While rank modulation has advantages in improving write speed and endurance, the current encoding approach is based on the "push to the top"…

Information Theory · Computer Science 2011-08-16 Eyal En Gad , Anxiao , Jiang , Jehoshua Bruck

We study error-correcting codes for permutations under the infinity norm, motivated by a novel storage scheme for flash memories call rank modulation. In this scheme, a set of $n$ flash cells are combined to create a single virtual…

Information Theory · Computer Science 2009-08-02 Itzhak Tamo , Moshe Schwartz

We construct Gray codes over permutations for the rank-modulation scheme, which are also capable of correcting errors under the infinity-metric. These errors model limited-magnitude or spike errors, for which only single-error-detecting…

Information Theory · Computer Science 2022-08-30 Yonatan Yehezkeally , Moshe Schwartz

We consider rank modulation codes for flash memories that allow for handling arbitrary charge-drop errors. Unlike classical rank modulation codes used for correcting errors that manifest themselves as swaps of two adjacently ranked…

Information Theory · Computer Science 2013-04-23 Farzad Farnoud , Vitaly Skachek , Olgica Milenkovic

Rank modulation is a way of encoding information to correct errors in flash memory devices as well as impulse noise in transmission lines. Modeling rank modulation involves construction of packings of the space of permutations equipped with…

Information Theory · Computer Science 2011-10-13 Arya Mazumdar , Alexander Barg , Gilles Zémor

The rank-modulation scheme has been recently proposed for efficiently storing data in nonvolatile memories. Error-correcting codes are essential for rank modulation, however, existing results have been limited. In this work we explore a new…

Information Theory · Computer Science 2013-10-28 Hongchao Zhou , Moshe Schwartz , Anxiao Jiang , Jehoshua Bruck

Codes for rank modulation have been recently proposed as a means of protecting flash memory devices from errors. We study basic coding theoretic problems for such codes, representing them as subsets of the set of permutations of $n$…

Information Theory · Computer Science 2010-12-10 Alexander Barg , Arya Mazumdar

In this paper, we consider modulation codes for practical multilevel flash memory storage systems with cell levels. Instead of maximizing the lifetime of the device [Ajiang-isit07-01, Ajiang-isit07-02, Yaakobi_verdy_siegel_wolf_allerton08,…

Information Theory · Computer Science 2009-10-13 Fan Zhang , Henry D. Pfister

Motivated by the rank-modulation scheme with applications to flash memory, we consider Gray codes capable of detecting a single error, also known as snake-in-the-box codes. We study two error metrics: Kendall's $\tau$-metric, which applies…

Information Theory · Computer Science 2020-07-01 Yonatan Yehezkeally , Moshe Schwartz

Reducible codes for the rank metric were introduced for cryptographic purposes. They have fast encoding and decoding algorithms, include maximum rank distance (MRD) codes and can correct many rank errors beyond half of their minimum rank…

Information Theory · Computer Science 2017-08-07 Umberto Martínez-Peñas

Flash memory is well-known for its inherent asymmetry: the flash-cell charge levels are easy to increase but are hard to decrease. In a general rewriting model, the stored data changes its value with certain patterns. The patterns of data…

Information Theory · Computer Science 2016-11-17 Anxiao , Jiang , Michael Langberg , Moshe Schwartz , Jehoshua Bruck

Large Language Models' (LLMs) weight matrices can often be expressed in low-rank form with potential to relax memory and compute resource requirements. Unlike prior efforts that focus on developing novel matrix decompositions, in this work…

Machine Learning · Computer Science 2025-06-10 Ajay Jaiswal , Yifan Wang , Lu Yin , Shiwei Liu , Runjin Chen , Jiawei Zhao , Ananth Grama , Yuandong Tian , Zhangyang Wang

A code is called a locally repairable code (LRC) if any code symbol is a function of a small fraction of other code symbols. When a locally repairable code is employed in a distributed storage systems, an erased symbol can be recovered by…

Information Theory · Computer Science 2021-11-25 Wei Zhao , Kenneth W. Shum , Shenghao Yang

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

A new method to improve the performance of Random weight change (RWC) algorithm based on a simple genetic algorithm, namely, Genetic random weight change (GRWC) is proposed. It is to find the optimal values of global minima via learning. In…

Neural and Evolutionary Computing · Computer Science 2019-06-06 Mohammad Ibraim Sarker , Yali Nie , Hong Yongki , Hyongsuk Kim

Efficient probabilistic inference by variable elimination in graphical models requires an optimal elimination order. However, finding an optimal order is a challenging combinatorial optimisation problem for models with a large number of…

Artificial Intelligence · Computer Science 2025-03-13 Sagad Hamid , Tanya Braun
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