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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
Offloading Data Distribution Management to Network Processors in HLA-Based Distributed Simulations
A. Santoro,Richard M. Fujimoto +1 more
TL;DR: This work describes an approach to DDM that delegates a portion of the DDM computation to a processor on the network card in order to provide more CPU time for other federate and Runtime Infrastructure computations while still being able to exploit the benefits of a complex DDM implementation to reduce the amount of information exchange.
Book ChapterDOI
Future Trends in Distributed Simulation and Distributed Virtual Environments
TL;DR: The observation is that as research areas, both distributed simulation and distributed virtual environments are attributed a high future practical relevance and a high economic potential and the study shows that the current adoption of these technologies in the industrial sector is rather low.
Proceedings ArticleDOI
Optimistic Parallel Simulation over Public Resource-Computing Infrastructures and Desktop Grids
A. Park,Richard M. Fujimoto +1 more
TL;DR: The impact of various key parallel discrete event simulation (PDES) application properties on performance of an optimistic MW implementation is evaluated using Aurora, a framework supporting PDES over desktop grids.
MetaTeD --- A Meta Language for Modeling Telecommunication Networks
TL;DR: The meta language, called MetaTeD, is described in this document and is concerned with the high{level description of the structural and behavioral interfaces of various network elements.
Journal ArticleDOI
Optimistic Simulations of Physical Systems Using Reverse Computation
Yarong Tang,Kalyan S. Perumalla,Richard M. Fujimoto,Homa Karimabadi,Jonathan Driscoll,Yuri Omelchenko +5 more
TL;DR: It is shown that reverse computation-based optimistic parallel execution can significantly reduce the execution time of an example plasma simulation without requiring a significant amount of additional memory compared to conservative execution techniques.