Concurrent simulation for ordinal comparison

1997 ◽  
Author(s):  
Liyi Dai
Keyword(s):  
Ordinal Comparison ◽  
Concurrent Simulation

PARALLEL AGENT-BASED SIMULATION ON A CLUSTER OF WORKSTATIONS

2003 ◽  
Vol 13 (04) ◽  
pp. 629-641 ◽  
Author(s):  
Konstantin Popov ◽  
Mahmoud Rafea ◽  
Fredrik Holmgren ◽  
Per Brand ◽  
Vladimir Vlassov ◽  
...  
Keyword(s):  
Web Sites ◽  
Large Scale ◽  
Parallel Implementation ◽  
Simulation Models ◽  
Agent Based Simulation ◽  
Time Step ◽  
Agent Based ◽  
Simulation Step ◽  
Cluster Of Workstations ◽  
Concurrent Simulation

We discuss a parallel implementation of an agent-based simulation. Our approach allows to adapt a sequential simulator for large-scale simulation on a cluster of workstations. We target discrete-time simulation models that capture the behavior of Web users and Web sites. Web users are connected with each other in a graph resembling the social network. Web sites are also connected in a similar graph. Users are stateful entities. At each time step, they exhibit certain behaviour such as visiting bookmarked sites, exchanging information about Web sites in the "word-of-mouth" style, and updating bookmarks. The real-world phenomena of emerged aggregated behavior of the Internet population is studied. The system distributes data among workstations, which allows large-scale simulations infeasible on a stand-alone computer. The model properties cause traffic between workstations proportional to partition sizes. Network latency is hidden by concurrent simulation of multiple users. The system is implemented in Mozart that provides multithreading, dataflow variables, component-based software development, and network-transparency. Currently we can simulate up to 106 Web users on 104 Web sites using a cluster of 16 computers, which takes few seconds per simulation step, and for a problem of the same size, parallel simulation offers speedups between 11 and 14.

Ferromagnetic Shape Memory Thin Film In-Plane Actuators: Assessment of Mechanical Output

2007 ◽  
Author(s):  
Vesselin Stoilov
Keyword(s):  
Thin Film ◽  
Shape Memory ◽  
Control Systems ◽  
Multiscale Model ◽  
Servo Control ◽  
Ferromagnetic Shape Memory Alloy ◽  
Shape Memory Actuators ◽  
Micro Actuators ◽  
Concurrent Simulation ◽  
Ferromagnetic Shape Memory

Ferromagnetic shape memory alloy micro actuators and motors are promising for applications in various servo control systems, with the potential to provide ultra(sub-nano)-precision positioning and compensation. This article shows that in an in-plane configuration, thin film ferromagnetic shape memory actuators open the possibility to reach more powerful actuators keeping the same geometric dimensions by simply stacking these films. The assessment of mechanical output for the FSMA thin film actuators have been done with a multiscale model, which allowed for concurrent simulation of the phenomena at atomic and mesoscale.

Concurrent simulation of nearly identical digital networks

Computer ◽  
1974 ◽  
Vol 7 (4) ◽  
pp. 39-44 ◽  
Author(s):  
E. G. Ulrich ◽  
T. Baker
Keyword(s):  
Digital Networks ◽  
Concurrent Simulation

Concurrent simulation of multibody systems coupled with stress–strain and heat transfer solvers

2012 ◽  
Vol 3 (6) ◽  
pp. 492-497 ◽  
Author(s):  
Victor V. Getmanskiy ◽  
Alexander S. Gorobtsov ◽  
Efim S. Sergeev ◽  
Timur D. Ismailov ◽  
Oleg V. Shapovalov
Keyword(s):  
Heat Transfer ◽  
Multibody Systems ◽  
Stress Strain ◽  
Concurrent Simulation

scholarly journals Concurrent simulation and optimization models for mining planning

2008 ◽  
Author(s):  
Marcelo Moretti Fioroni ◽  
Luiz Augusto G. Franzese ◽  
Tales Jefferson Bianchi ◽  
Luiz Ezawa ◽  
Luiz Ricardo Pinto ◽  
...  
Keyword(s):  
Optimization Models ◽  
Simulation And Optimization ◽  
Concurrent Simulation
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