中文
相关论文

相关论文: The Life in 1-Consensus

200 篇论文

A natural way to measure the power of a distributed-computing model is to characterize the set of tasks that can be solved in it. %the model. In general, however, the question of whether a given task can be solved in a given model is…

分布式、并行与集群计算 · 计算机科学 2016-11-23 Carole Delporte-Gallet , Hugues Fauconnier , Eli Gafni , Petr Kuznetsov

Shared Memory is a mechanism that allows several processes to communicate with each other by accessing -- writing or reading -- a set of variables that they have in common. A Consistency Model defines how each process observes the state of…

分布式、并行与集群计算 · 计算机科学 2021-01-26 Jordi Bataller Mascarell

Relaxing the sequential specification of a shared object is a way to obtain an implementation with better performance compared to implementing the original specification. We apply this approach to the Counter object, under the assumption…

分布式、并行与集群计算 · 计算机科学 2024-02-23 Colette Johnen , Adnane Khattabi , Alessia Milani , Jennifer L. Welch

Deep neural networks have achieved remarkable success in various challenging tasks. However, the black-box nature of such networks is not acceptable to critical applications, such as healthcare. In particular, the existence of adversarial…

机器学习 · 计算机科学 2019-09-12 Shaeke Salman , Seyedeh Neelufar Payrovnaziri , Xiuwen Liu , Pablo Rengifo-Moreno , Zhe He

We prove that in asynchronous message-passing systems where at most one process may crash, there is no lock-free strongly linearizable implementation of a weak object that we call Test-or-Set (ToS). This object allows a single distinguished…

分布式、并行与集群计算 · 计算机科学 2021-08-10 David Yu Cheng Chan , Vassos Hadzilacos , Xing Hu , Sam Toueg

The implementation of registers from (potentially) weaker registers is a classical problem in the theory of distributed computing. Since Lamport's pioneering work [13], this problem has been extensively studied in the context of…

分布式、并行与集群计算 · 计算机科学 2023-02-21 Xing Hu , Sam Toueg

We propose a novel memory network model named Read-Write Memory Network (RWMN) to perform question and answering tasks for large-scale, multimodal movie story understanding. The key focus of our RWMN model is to design the read network and…

计算机视觉与模式识别 · 计算机科学 2018-03-19 Seil Na , Sangho Lee , Jisung Kim , Gunhee Kim

The consensus number of a w-bit register supporting logical left shift and right shift operations is exactly w, giving an example of a class of types, widely implemented in practice, that populates all levels of the consensus hierarchy.…

分布式、并行与集群计算 · 计算机科学 2025-05-06 James Aspnes

We extend the results of Part I by considering a new class of agreement tasks, the so-called k-Threshold Agreement tasks (previously introduced by Charron-Bost and Le Fessant). These tasks naturally interpolate between Atomic Commitment and…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Bernadette Charron-Bost

Coherent causal memory (CCM) is causal memory in which prefixes of an execution can be mapped to global memory states in a consistent way. While CCM requires conflicting pairs of writes to be globally ordered, it allows writes to remain…

分布式、并行与集群计算 · 计算机科学 2014-04-09 Ernie Cohen

We study fault-tolerant consensus in a variant of the synchronous message passing model, where, in each round, every node can choose to be awake or asleep. This is known as the sleeping model (Chatterjee, Gmyr, Pandurangan PODC 2020) and…

分布式、并行与集群计算 · 计算机科学 2025-10-31 Shachar Meir , Hugo Mirault , David Peleg , Peter Robinson

Quantum reservoir computing (QRC) harnesses driven quantum dynamics for time-series processing, yet the mechanisms behind the differing performance levels across its many implementations remain unclear. We show that apparently unrelated…

量子物理 · 物理学 2026-03-24 Saud Čindrak , Lara Giebeler , Niclas Götting , Christopher Gies , Kathy Lüdge

An object type characterizes the domain space and the operations that can be invoked on an object of that type. In this paper we introduce a new property for concurrent objects, we call coverability, that aims to provide precise guarantees…

分布式、并行与集群计算 · 计算机科学 2016-03-14 Nicolas Nicolaou , Antonio Fernández Anta , Chryssis Georgiou

We show that Naming-- the existence of distinct IDs known to all-- is a hidden but necessary assumption of Herlihy's universality result for Consensus. We then show in a very precise sense that Naming is harder than Consensus and bring to…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Harry Buhrman , Alessandro Panconesi , Riccardo Silvestri , Paul Vitanyi

We introduce several notions of reduction in distributed computing, and investigate reduction properties of two fundamental agreement tasks, namely Consensus and Atomic Commitment. We first propose the notion of reduction "a la Karp'', an…

分布式、并行与集群计算 · 计算机科学 2007-05-23 Bernadette Charron-Bost

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…

分布式、并行与集群计算 · 计算机科学 2020-11-17 Theophanis Hadjistasi , Nicolas Nicolaou , Alexander A. Schwarzmann

In the naming game, individuals or agents exchange pairwise local information in order to communicate about objects in their common environment. The goal of the game is to reach a consensus about naming these objects. Originally used to…

多智能体系统 · 计算机科学 2009-12-24 Reginaldo J. da Silva Filho , Matthias R. Brust , Carlos H. C. Ribeiro

Nearly thirty years ago, it was shown that $\Omega(\sqrt{n})$ registers are needed to solve obstruction-free consensus among $n$ processes. This lower bound was improved to $n$ registers in 2018, which exactly matches the best upper bound.…

分布式、并行与集群计算 · 计算机科学 2023-08-04 Sean Ovens

It is well known that the consensus problem cannot be solved deterministically in an asynchronous environment, but that randomized solutions are possible. We propose a new model, called noisy scheduling, in which an adversarial schedule is…

数据结构与算法 · 计算机科学 2007-05-23 James Aspnes

Associative memory plays an important role in human intelligence and its mechanisms have been linked to attention in machine learning. While the machine learning community's interest in associative memories has recently been rekindled, most…

机器学习 · 计算机科学 2022-11-15 Jason Yoo , Frank Wood