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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

Deep Learning-Based Average Consensus

TL;DR: A data-driven approach to tuning the weights of temporal networks using deep learning techniques, which can achieve a significantly smaller consensus error compared to baseline strategies and can be extended for infinite-time window problems.
Book ChapterDOI

Dynamic diffusion load balancing

TL;DR: This paper considers the problem of dynamic load balancing in arbitrary (connected) networks on n nodes such that during each round, n tasks are generated on arbitrary nodes, and then one task is deleted from every non-empty node.

Evaluation of Load Balancing Strategies

Haroon Rashid, +1 more
TL;DR: In this article, the authors have studied behaviors of a few such algorithms, i.e., fixed granularity, variable granularity (guided self scheduling), and global centralized task migration (4) algorithms.
Posted Content

Push sum with transmission failures

TL;DR: The push-sum algorithm allows distributed computing of the average on a directed graph, and is particularly relevant when one is restricted to one-way and/or asynchronous communications.
Journal ArticleDOI

A Novel Collaborative Task Offloading Scheme for Secure and Sustainable Mobile Cloudlet Networks

TL;DR: The proposed CTOM, a novel collaborative task offloading scheme based on the balls-and-bins theory, outperforms the conventional random and proportional allocation schemes in reducing the task gaps between maximum load and minimum load among mobile cloudlets by 65% and 55%, respectively.
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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