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We propose a simulated annealing algorithm specifically tailored to optimise total retrieval times in a multi-level warehouse under complex pre-batched picking constraints. Experiments on real data from a picker-to-parts order picking…

Artificial Intelligence · Computer Science 2017-04-05 Alexander Eckrot , Carina Geldhauser , Jan Jurczyk

Joining the shortest or least loaded queue among $d$ randomly selected queues are two fundamental load balancing policies. Under both policies the dispatcher does not maintain any information on the queue length or load of the servers. In…

Performance · Computer Science 2021-01-25 Tim Hellemans , Benny Van Houdt

This work deals with error correction for non-volatile memories that are partially defective at some levels. Such memory cells can only store incomplete information since some of their levels cannot be utilized entirely due to, e.g.,…

Information Theory · Computer Science 2022-08-23 Haider Al Kim , Kai Jie Chan

To solve the access-balancing problem in distributed storage systems, we introduce a new combinatorial model, called MinVar model for fractional repetition (FR) codes. Since FR codes are based on graphs or set systems, our MinVar model is…

Information Theory · Computer Science 2020-11-25 Wenjun Yu , Xiande Zhang , Gennian Ge

In this technical note, we present a new theoretical result for resource optimization with non-orthogonal multiple access (NOMA). For multi-cell scenarios, a so-called load-coupling model has been proposed to characterize the presence of…

Information Theory · Computer Science 2020-09-22 Lei You , Di Yuan

In this paper, the scheduling of downlink file transmission in one cell with the assistance of cache nodes with finite cache space is studied. Specifically, requesting users arrive randomly and the base station (BS) reactively multicasts…

Information Theory · Computer Science 2020-01-15 Bojie Lv , Rui Wang , Ying Cui , Yi Gong , Haisheng Tan

The statistical properties of a radiation sources are commonly characterized by second-order-correlation or Mandel parameter. Our research found that the single photons modulation spectrum provides us another optional way which is more…

Quantum Physics · Physics 2017-04-21 Jianyong Hu , Bo Yu , Mingyong Jing , Liantuan Xiao , Suotang Jia

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

The beta-binomial (BBM) channel model was recently proposed to model the overdispersed statistics of empirically observed bit errors in multi-level cell (MLC) flash memories. In this paper, we study the capacity of the BBM channel model for…

Information Theory · Computer Science 2016-09-02 Veeresh Taranalli , Hironori Uchikawa , Paul H. Siegel

In this paper, we investigate the optimum way to allocate redundancy of finite-length nested codes for modern nonvolatile memories suffering from both permanent defects and transient errors (erasures or random errors). A nested coding…

Information Theory · Computer Science 2018-10-30 Yongjune Kim , B. V. K. Vijaya Kumar

Hybrid energy storage systems that combine lithium-ion batteries and supercapacitors are considered as an attractive solution to overcome the drawbacks of battery-only energy storage systems, such as high cost, low power density, and short…

Systems and Control · Computer Science 2020-10-13 Huilong Yu , Francesco Castelli-Dezza , Federico Cheli , Xiaolin Tang , Xiaosong Hu , Xianke Lin

High precision atomic data is indispensable for experiments involving studies of fundamental interactions, astrophysics, atomic clocks, plasma science, and others. We develop new parallel atomic structure codes and explore the difficulties…

Atomic Physics · Physics 2021-03-11 C. Cheung , M. S. Safronova , S. G. Porsev

We study two mixed robust/average-case submodular partitioning problems that we collectively call Submodular Partitioning. These problems generalize both purely robust instances of the problem (namely max-min submodular fair allocation…

Data Structures and Algorithms · Computer Science 2016-08-17 Kai Wei , Rishabh Iyer , Shengjie Wang , Wenruo Bai , Jeff Bilmes

This work considers the combinatorial multi-access coded caching problem introduced in the recent work by Muralidhar \textit{et al.} [P. N. Muralidhar, D. Katyal, and B. S. Rajan, ``Maddah-Ali-Niesen scheme for multi-access coded caching,''…

Information Theory · Computer Science 2024-01-18 K. K. Krishnan Namboodiri , B. Sundar Rajan

We optimize modulation formats for the additive white Gaussian noise channel with nonnegative input, also known as the intensity-modulated direct-detection channel, with and without confining them to a lattice structure. Our optimization…

Information Theory · Computer Science 2015-01-07 Johnny Karout , Erik Agrell , Krzysztof Szczerba , Magnus Karlsson

Recently, coding has been a useful technique to mitigate the effect of stragglers in distributed computing. However, coding in this context has been mainly explored under the assumption of homogeneous workers, although the real-world…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-18 DaeJin Kim , Hyegyeong Park , Junkyun Choi

In video generation models, particularly world models, training large-scale video diffusion Transformers (such as DiT and MMDiT) poses significant computational challenges due to the extreme variance in sequence lengths within mixed-mode…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-19 Yucheng Guo , Yongjian Guo , Zhong Guan , Haoran Sun , Wen Huang , Wanting Xu , Jing Long , Shuai Di , Junwu Xiong

We propose efficient coding schemes for two communication settings: 1. asymmetric channels, and 2. channels with an informed encoder. These settings are important in non-volatile memories, as well as optical and broadcast communication. The…

Information Theory · Computer Science 2015-12-31 Eyal En Gad , Yue Li , Joerg Kliewer , Michael Langberg , Anxiao Jiang , Jehoshua Bruck

Although Large Language Models (LLMs) have demonstrated remarkable capabilities, their massive parameter counts and associated extensive computing make LLMs' deployment the main part of carbon emission from nowadays AI applications.…

Machine Learning · Computer Science 2024-10-24 Jie Peng , Zhang Cao , Huaizhi Qu , Zhengyu Zhang , Chang Guo , Yanyong Zhang , Zhichao Cao , Tianlong Chen

We consider the data shuffling problem in a distributed learning system, in which a master node is connected to a set of worker nodes, via a shared link, in order to communicate a set of files to the worker nodes. The master node has access…

Information Theory · Computer Science 2020-06-24 Adel Elmahdy , Soheil Mohajer
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