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Richard M. Fujimoto
Researcher at Georgia Institute of Technology
Publications - 290
Citations - 13908
Richard M. Fujimoto is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Discrete event simulation & Network simulation. The author has an hindex of 52, co-authored 290 publications receiving 13584 citations. Previous affiliations of Richard M. Fujimoto include Mitre Corporation & University of Colorado Colorado Springs.
Papers
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Journal ArticleDOI
Parallel discrete event simulation
TL;DR: This article deals with the execution of a simulation program on a parallel computer by decomposing the simulation application into a set of concurrently executing processes and introduces interesting synchronization problems that are at the heart of the PDES problem.
Book
Parallel and Distributed Simulation Systems
TL;DR: The article gives an overview of technologies to distribute the execution of simulation programs over multiple computer systems, with particular emphasis on synchronization (also called time management) algorithms as well as data distribution techniques.
Proceedings ArticleDOI
Parallel Discrete Event Simulation
TL;DR: This tutorial surveys the state of the art in executing discrete event simulation programs on a parallel computer, and focuses attention on asynchronous simulation programs where few events occur at any single point in simulated time.
Book
Parallel and Distribution Simulation Systems
TL;DR: PADS expert Richard M. Fujimoto provides software developers with cutting-edge techniques for speeding up the execution of simulations across multiple processors and dealing with data distribution over wide area networks, including the Internet.
Proceedings ArticleDOI
MDDV: a mobility-centric data dissemination algorithm for vehicular networks
TL;DR: MDDV is designed to exploit vehicle mobility for data dissemination, and combines the idea of opportunistic forwarding, trajectory based forwarding and geographical forwarding, and develops a generic mobile computing approach for designing localized algorithms in vehicular networks.