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The celebrated \emph{asynchronous computability theorem} provides a characterization of the class of decision tasks that can be solved in a wait-free manner by asynchronous processes that communicate by writing and taking atomic snapshots…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-12-18 Fernando Benavides , Sergio Rajsbaum

We study the design of storage-efficient algorithms for emulating atomic shared memory over an asynchronous, distributed message-passing system. Our first algorithm is an atomic single-writer multi-reader algorithm based on a novel…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-27 Marwen Zorgui , Robert Mateescu , Filip Blagojevic , Cyril Guyot , Zhiying Wang

Designing protocols and formulating convenient programming units of abstraction for sensor networks is challenging due to communication errors and platform constraints. This paper investigates properties and implementation reliability for a…

Operating Systems · Computer Science 2008-06-12 Ted Herman , Morten Mjelde

It has been proved that to implement a linearizable shared memory in synchronous message-passing systems it is necessary to wait for a time proportional to the uncertainty in the latency of the network for both read and write operations,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-01 Matthieu Perrin , Matoula Petrolia , Achour Mostefaoui , Claude Jard

To implement a linearizable shared memory in synchronous message-passing systems it is necessary to wait for a time linear to the uncertainty in the latency of the network for both read and write operations. Waiting only for one of them…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-28 Matthieu Perrin , Matoula Petrolia , Achour Mostefaoui , Claude Jard

An immediate snapshot object is a high level communication object, built on top of a read/write distributed system in which all except one processes may crash. It allows a process to write a value and obtain a set of values that represent a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-02 Carole Delporte , Hugues Fauconnier , Sergio Rajsbaum , Michel Raynal

Recent advances in non-volatile main memory (NVRAM) technology have spurred research on designing algorithms that are resilient to process crashes. This paper is a fuller version of our conference paper \cite{jayanti:rmeabort}, which…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-08 Prasad Jayanti , Anup Joshi

The well known snapshot primitive in concurrent programming allows for n-asynchronous processes to write values to an array of single-writer registers and, for each process, to take a snapshot of these registers. In this paper we provide a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-02-11 Gal Amram , Lior Mizrahi , Gera Weiss

The wait-free read-write memory model has been characterized as an iterated \emph{Immediate Snapshot} (IS) task. The IS task is \emph{affine}---it can be defined as a (sub)set of simplices of the standard chromatic subdivision. It is known…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-06 Eli Gafni , Yuan He , Petr Kuznetsov , Thibault Rieutord

In the topological study of distributed systems, the immediate snapshot is the fundamental computation block for the topological characterization of wait-free solvable tasks. However, in reality, the immediate snapshot is not available as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-21 Susumu Nishimura

Work-stealing is a popular technique to implement dynamic load balancing in a distributed manner. In this approach, each process owns a set of tasks that have to be executed. The owner of the set can put tasks in it and can take tasks from…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-23 Armando Castañeda , Miguel Piña

Recoverable algorithms tolerate failures and recoveries of processes by using non-volatile memory. Of particular interest are self-implementations of key operations, in which a recoverable operation is implemented from its non-recoverable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-08 Tomer Lev Lehman , Hagit Attiya , Danny Hendler

Reliable storage emulations from fault-prone components have established themselves as an algorithmic foundation of modern storage services and applications. Most existing reliable storage emulations are built from storage services…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-18 Gregory Chockler , Dan Dobre , Alexander Shraer , Alexander Spiegelman

Motivated by recent distributed systems technology, Aguilera et al. introduced a hybrid model of distributed computing, called message-and-memory model or m&m model for short [1]. In this model, processes can communicate by message passing…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-15 Vassos Hadzilacos , Xing Hu , Sam Toueg

As dynamic random access memory (DRAM) and other current transistor-based memories approach their scalability limits, the search for alternative storage methods becomes increasingly urgent. Phase-change memory (PCM) emerges as a promising…

Hardware Architecture · Computer Science 2025-11-10 Mahek Desai , Rowena Quinn , Marjan Asadinia

In this work, we propose the $\lambda$-scanner snapshot, a variation of the snapshot object, which supports any fixed amount of $0 < \lambda \leq n$ different $SCAN$ operations being active at any given time. Whenever $\lambda$ is equal to…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-12 Nikolaos D. Kallimanis , Eleni Kanellou , Charidimos Kiosterakis

Data structures for efficient sampling from a set of weighted items are an important building block of many applications. However, few parallel solutions are known. We close many of these gaps both for shared-memory and distributed-memory…

Data Structures and Algorithms · Computer Science 2021-07-20 Lorenz Hübschle-Schneider , Peter Sanders

In-memory databases (IMDBs) are gaining increasing popularity in big data applications, where clients commit updates intensively. Specifically, it is necessary for IMDBs to have efficient snapshot performance to support certain special…

Databases · Computer Science 2018-10-12 Liang Li , Guoren Wang , Gang Wu , Ye Yuan , Lei Chen , Xiang Lian

Emerging applications of control, estimation, and machine learning, ranging from target tracking to decentralized model fitting, pose resource constraints that limit which of the available sensors, actuators, or data can be simultaneously…

Optimization and Control · Mathematics 2020-12-15 Vasileios Tzoumas , Ali Jadbabaie , George J. Pappas

We show that for one-shot problems - problems where a processor executes a single operation-execution - timing constraints can be captured by conditions on the relation between original outputs and supplementary snapshots. In addition to…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-18 Eli Gafni
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