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Magnetic random-access memory (MRAM) is a promising memory technology due to its high density, non-volatility, and high endurance. However, achieving high memory fidelity incurs significant write-energy costs, which should be reduced for…

Emerging Technologies · Computer Science 2021-12-07 Yongjune Kim , Yoocharn Jeon , Hyeokjin Choi , Cyril Guyot , Yuval Cassuto

Flash memory devices are winning the competition for storage density against magnetic recording devices. This outcome results from advances in physics that allow storage of more than one bit per cell, coupled with advances in signal…

Information Theory · Computer Science 2020-12-09 Ahmed Hareedy , Beyza Dabak , Robert Calderbank

In several fields such as statistics, machine learning, and bioinformatics, categorical variables are frequently represented as one-hot encoded vectors. For example, given 8 distinct values, we map each value to a byte where only a single…

Data Structures and Algorithms · Computer Science 2021-08-19 Marcus D. R. Klarqvist , Wojciech Muła , Daniel Lemire

Memory consistency models define the order in which accesses to shared memory in a concurrent system may be observed to occur. Such models are a necessity since program order is not a reliable indicator of execution order, due to…

Programming Languages · Computer Science 2026-03-16 Roger C. Su , Robert J. Colvin

Efficient spatial reasoning requires world models that remain reliable under tight precision budgets. We study whether low-bit planning behavior is determined mostly by total bitwidth or by where bits are allocated across modules. Using…

Machine Learning · Computer Science 2026-02-13 Suraj Ranganath , Anish Patnaik , Vaishak Menon

World models enable model-based planning through learned latent dynamics, but imagined rollouts become unstable as the planning horizon grows or the dynamics distribution shifts. We argue that this instability reflects two missing…

Artificial Intelligence · Computer Science 2026-05-08 Haoyun Tang , Haodong Cui , Keyao Xu , Kun Wang , Zhandong Mei

Optimal binary labelings, input distributions, and input alphabets are analyzed for the so-called bit-interleaved coded modulation (BICM) capacity, paying special attention to the low signal-to-noise ratio (SNR) regime. For 8-ary pulse…

Information Theory · Computer Science 2011-10-21 Erik Agrell , Alex Alvarado

Optimal binary labelings, input distributions, and input alphabets are analyzed for the so-called bit-interleaved coded modulation (BICM) capacity, paying special attention to the low signal-to-noise ratio (SNR) regime. For 8-ary pulse…

Information Theory · Computer Science 2011-10-21 Erik Agrell , Alex Alvarado

Long-distance quantum communication through optical fibers is currently limited to a few hundreds of kilometres due to fiber losses. Quantum repeaters could extend this limit to continental distances. Most approaches to quantum repeaters…

The increasing capacity of modern computers, driven by Moore's Law, is accompanied by smaller noise margins and higher error rates. In this paper we propose a memory device, consisting of a ring of two identical overdamped bistable…

Adaptation and Self-Organizing Systems · Physics 2009-11-05 S. A. Ibáñez , P. I. Fierens , G. A. Patterson , R. P. J. Perazzo , D. F. Grosz

Emulating atomic read/write shared objects in a message-passing system is a fundamental problem in distributed computing. Considering that network communication is the most expensive resource, efficiency is measured first of all in terms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-17 Theophanis Hadjistasi , Nicolas Nicolaou , Alexander A. Schwarzmann

Memoryless computation is a new technique to compute any function of a set of registers by updating one register at a time while using no memory. Its aim is to emulate how computations are performed in modern cores, since they typically…

Computational Complexity · Computer Science 2013-10-23 Peter J. Cameron , Ben Fairbairn , Maximilien Gadouleau

Computing-in-Memory architectures based on non-volatile emerging memories have demonstrated great potential for deep neural network (DNN) acceleration thanks to their high energy efficiency. However, these emerging devices can suffer from…

Machine Learning · Computer Science 2022-10-10 Zheyu Yan , Xiaobo Sharon Hu , Yiyu Shi

Many performance critical systems today must rely on performance enhancements, such as multi-port memories, to keep up with the increasing demand of memory-access capacity. However, the large area footprints and complexity of existing…

Hardware Architecture · Computer Science 2020-01-28 Hardik Jain , Matthew Edwards , Ethan Elenberg , Ankit Singh Rawat , Sriram Vishwanath

This study details the creation of a Write Once-Read Many (WORM) memory device utilizing cuprous chloride (CuCl) and poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) polymers. Employing an in-plane configuration, a deliberate…

Mesoscale and Nanoscale Physics · Physics 2024-07-31 Shilpi Bose , Aloka Sinha , Santanu Ghosh

In recent years, the energy consumption of computing systems has increased and a large fraction of this energy is consumed in main memory. Towards this, researchers have proposed use of non-volatile memory, such as phase change memory…

Hardware Architecture · Computer Science 2013-09-17 Sparsh Mittal

Classically, coding theory has been concerned with the problem of transmitting a single message in a format which is robust to noise. Recently, researchers have turned their attention to designing coding schemes to make two-way…

Data Structures and Algorithms · Computer Science 2019-07-25 Bernhard Haeupler , Nicolas Resch

Speculative techniques in microarchitectures relax various dependencies in programs, which contributes to the complexity of (weak) memory models. We show using WMM, a new weak memory model, that the model becomes simpler if it includes…

Programming Languages · Computer Science 2016-06-20 Sizhuo Zhang , Arvind , Muralidaran Vijayaraghavan

A construction using the E8 lattice and Reed-Solomon codes for error-correction in flash memory is given. Since E8 lattice decoding errors are bursty, a Reed-Solomon code over GF($2^8$) is well suited. This is a type of coded modulation,…

Information Theory · Computer Science 2011-02-17 Brian M. Kurkoski

In this paper, we consider a multiple-input-multiple-output optical wireless communication (MIMO-OWC) system in the presence of log-normal fading. In this scenario, a general criterion for the design of full-diversity space code (FDSC) with…

Information Theory · Computer Science 2015-09-25 Yan-Yu Zhang , Hong-Yi Yu , Jian-Kang Zhang , Yi-Jun Zhu , Jin-Long Wang , Tao Wang
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