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Journal ArticleDOI

Dynamic load balancing for distributed memory multiprocessors

George Cybenko
- 01 Oct 1989 - 
- Vol. 7, Iss: 2, pp 279-301
TLDR
This paper completely analyze the hypercube network by explicitly computing the eigenstructure of its node adjacency matrix and shows that a diffusion approach to load balancing on a hypercube multiprocessor is inferior to another approach which is called the dimension exchange method.
About
This article is published in Journal of Parallel and Distributed Computing.The article was published on 1989-10-01. It has received 1074 citations till now. The article focuses on the topics: Hypercube & Load balancing (computing).

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Citations
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Journal ArticleDOI

Gossip Algorithms for Distributed Signal Processing

TL;DR: An overview of recent gossip algorithms work, including convergence rate results, which are related to the number of transmitted messages and thus the amount of energy consumed in the network for gossiping, and the use of gossip algorithms for canonical signal processing tasks including distributed estimation, source localization, and compression.

Distributed Control of Robotic Networks

TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
Journal ArticleDOI

Quantized consensus

TL;DR: This work describes simple randomized distributed algorithms which achieve consensus to the extent that the discrete nature of the problem permits.
Journal ArticleDOI

Strategies for dynamic load balancing on highly parallel computers

TL;DR: Five DLB strategies are presented which illustrate the tradeoff between knowledge - the accuracy of each balancing decision, and overhead - the amount of added processing and communication incurred by the balancing process.
Journal ArticleDOI

Convergence Speed in Distributed Consensus and Averaging

TL;DR: It is shown that a simple adaptation of a consensus algorithm leads to an averaging algorithm, and lower bounds on the worst-case convergence time for various classes of linear, time-invariant, distributed consensus methods are proved.
References
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Book

Computers and Intractability: A Guide to the Theory of NP-Completeness

TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Journal ArticleDOI

Matrix Iterative Analysis

Book

Matrix iterative analysis

TL;DR: In this article, the authors propose Matrix Methods for Parabolic Partial Differential Equations (PPDE) and estimate of Acceleration Parameters, and derive the solution of Elliptic Difference Equations.
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