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The memristor is promising to be the basic cell of next-generation computation systems. Compared to the traditional MOSFET device, the memristor is efficient over energy and area. But one of the biggest challenges faced with researchers is…

Emerging Technologies · Computer Science 2016-11-22 Junyi Li , Fulin Peng , Fan Yang , Xuan Zeng

Write-Once-Memory (WOM) is a model for many modern non-volatile memories, such as flash memories. Recently, several capacity-achieving WOM coding schemes have been proposed based on polar coding. Due to the fact that practical computer…

Information Theory · Computer Science 2014-11-18 Xudong Ma

In two-player games on graph, the players construct an infinite path through the game graph and get a reward computed by a payoff function over infinite paths. Over weighted graphs, the typical and most studied payoff functions compute the…

Computer Science and Game Theory · Computer Science 2011-04-19 Krishnendu Chatterjee , Laurent Doyen , Rohit Singh

Consider a linear programming problem with n primal and m dual variables paired with n dual and m primal slack variables respectively, and aggregately denote these variables and slack variables as a vector z of length 2(n+m). Unlike…

Optimization and Control · Mathematics 2026-05-20 Wei Jing-Yuan

Non-Volatile Random Access Memory (NVRAM) is a novel type of hardware that combines the benefits of traditional persistent memory (persistency of data over hardware failures) and DRAM (fast random access). In this work, we describe an…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-26 Vitaly Aksenov , Ohad Ben-Baruch , Danny Hendler , Ilya Kokorin , Matan Rusanovsky

Modern computing systems suffer from the dichotomy between computation on one side, which is performed only in the processor (and accelerators), and data storage/movement on the other, which all other parts of the system are dedicated to.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-14 Onur Mutlu , Saugata Ghose , Juan Gómez-Luna , Rachata Ausavarungnirun

Artificial Neural Networks are uniquely adroit at machine learning by processing data through a network of artificial neurons. The inter-neuronal connection weights represent the learnt Neural Program that instructs the network on how to…

Machine Learning · Computer Science 2020-09-25 Hung Le , Svetha Venkatesh

We propose an efficient protocol for secure comparison of integers when both integers are shared between two parties. Such protocols are useful for implementing secure auctions. The proposed protocol's computational complexity is roughly…

Cryptography and Security · Computer Science 2012-04-16 Rajendra S. Katti , Cristinel Ababei

Current computers operate at enormous speeds of ~10^13 bits/s, but their principle of sequential logic operation has remained unchanged since the 1950s. Though our brain is much slower on a per-neuron base (~10^3 firings/s), it is capable…

Emerging Technologies · Computer Science 2015-05-30 Anirban Bandyopadhyay , Ranjit Pati , Satyajit Sahu , Ferdinand Peper , Daisuke Fujita

With the emergence of Non-Volatile Memories (NVMs) and their shortcomings such as limited endurance and high power consumption in write requests, several studies have suggested hybrid memory architecture employing both Dynamic Random Access…

Operating Systems · Computer Science 2018-05-08 Reza Salkhordeh , Hossein Asadi

This paper introduces the Modular Neural Computer (MNC), a memory-augmented neural architecture for exact algorithmic computation on variable-length inputs. The model combines an external associative memory of scalar cells, explicit read…

Machine Learning · Computer Science 2026-03-17 Florin Leon

Software developed helps world a better place ranging from system software, open source, application software and so on. Software engineering does have neural network models applied to code suggestion, bug report summarizing and so on to…

Software Engineering · Computer Science 2021-10-27 Mahendran N

CXL (Compute Express Link) is an emerging open industry-standard interconnect between processing and memory devices that is expected to revolutionize the way systems are designed. It enables cache-coherent, shared memory pools in a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-27 Gal Assa , Moritz Lumme , Lucas Bürgi , Michal Friedman , Ori Lahav

Shor's algorithm for integer factorization offers an exponential speedup over classical methods but remains impractical on Noisy Intermediate Scale Quantum (NISQ) hardware due to the need for many coherent qubits and very deep circuits.…

Quantum Physics · Physics 2025-12-09 Alok Shukla , Prakash Vedula

Non-volatile memory (NVM) promises persistent main memory that remains correct despite loss of power. This has sparked a line of research into algorithms that can recover from a system crash. Since caches are expected to remain volatile,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-22 Naama Ben-David , Guy E. Blelloch , Michal Friedman , Yuanhao Wei

Boolean matrix factorization (BMF) approximates a given binary input matrix as the product of two smaller binary factors. Unlike binary matrix factorization based on standard arithmetic, BMF employs the Boolean OR and AND operations for the…

Information Retrieval · Computer Science 2025-12-05 Christos Kolomvakis , Thomas Bobille , Arnaud Vandaele , Nicolas Gillis

We address the problem of verifying safety properties of concurrent programs running over the Total Store Order (TSO) memory model. Known decision procedures for this model are based on complex encodings of store buffers as lossy channels.…

Formal Languages and Automata Theory · Computer Science 2023-06-22 Parosh Aziz Abdulla , Mohamed Faouzi Atig , Ahmed Bouajjani , Tuan Phong Ngo

Memoisation, or tabling, is a well-known technique that yields large improvements in the performance of some recursive computations. Tabled resolution in Prologs such as XSB and B-Prolog can transform so called left-recursive predicates…

Logic in Computer Science · Computer Science 2017-07-18 Samer Abdallah

Algorithms are developed for calculating dealiased linear convolution sums without the expense of conventional zero-padding or phase-shift techniques. For one-dimensional in-place convolutions, the memory requirements are identical with the…

Computational Engineering, Finance, and Science · Computer Science 2011-02-14 John C. Bowman , Malcolm Roberts

This paper describes a sufficiently simple modular multiplication algorithm, which uses only carry-save addition with bit inspection Boolean logic and without number comparison or carry propagation.

Data Structures and Algorithms · Computer Science 2022-08-01 Oleg Mazonka
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