scholarly journals Parallel Simulation Algorithm of VLSI for Multicore Workstations with Dynamic Faults Grouping

2016 ◽  
Vol 6 (3) ◽  
pp. 166-170
Author(s):  
D. E. Ivanov ◽  
Keyword(s):  
Parallel Simulation ◽  
Simulation Algorithm ◽  
Dynamic Faults

scholarly journals GPU parallel simulation algorithm of Brownian particles with excluded volume using Delaunay triangulations

2018 ◽  
Vol 229 ◽  
pp. 148-161 ◽  
Author(s):  
Francisco Carter ◽  
Nancy Hitschfeld ◽  
Cristóbal A. Navarro ◽  
Rodrigo Soto
Keyword(s):  
Parallel Simulation ◽  
Excluded Volume ◽  
Simulation Algorithm ◽  
Delaunay Triangulations ◽  
Brownian Particles

Derivative estimates parallel simulation algorithm based on performance potentials theory

1999 ◽  
Vol 32 (2) ◽  
pp. 4759-4764
Author(s):  
Chang-Chun Zou ◽  
Hong-Sheng Xi ◽  
Bao-Qun Yin ◽  
Ya-Ping Zhou ◽  
De-Min Sun
Keyword(s):  
Parallel Simulation ◽  
Simulation Algorithm ◽  
Performance Potentials

scholarly journals An evaluation of implementations of the CMB parallel simulation algorithm on distributed memory multicomputers

1998 ◽  
Vol 44 (6-7) ◽  
pp. 519-545 ◽  
Author(s):  
José Miguel Alonso ◽  
Agustín Arruabarrena ◽  
Ramón Beivide ◽  
José A.B. Fortes
Keyword(s):  
Distributed Memory ◽  
Parallel Simulation ◽  
Simulation Algorithm ◽  
Distributed Memory Multicomputers

Autómatas Celulares Aplicados al Comportamiento de Células de Cáncer Cervicouterino

2019 ◽  
Vol 6 (1) ◽  
pp. 44-49
Author(s):  
Tania Muñoz Jiménez ◽  
Aurora Torres Soto ◽  
María Dolores Torres Soto
Keyword(s):  
Cellular Automaton ◽  
Medical Model ◽  
Research Process ◽  
Simulation Algorithm ◽  
Stages Of Development ◽  
Literary Research ◽  
Migration Dynamics ◽  
Three Stages ◽  
And Migration ◽  
Best Parameters

En este documento se describe el desarrollo e implementación de un modelo para simular computacionalmente la dinámica del crecimiento y migración del cáncer cervicouterino, considerando sus principales características: proliferación, migración y necrosis, así como sus etapas de desarrollo. El modelo se desarrolló mediante un autómata celular con enfoques paralelo y secuencial. El autómata celular se basó en el modelo de Gompertz para simular las etapas de desarrollo de este cáncer, el cual se dividió en tres etapas cada una con diferentes comportamientos durante la simulación. Se realizó un diseño experimental con parámetros de entrada que se seleccionaron a partir de la investigación literaria y su discusión con médicos expertos. Al final del proceso de investigación, se logró obtener un algoritmo computacional de simulación muy bueno comparado con el modelo médico de Gompertz y se encontraron los mejores parámetros para su ejecución mediante un diseño factorial soportado estadísticamente. This paper describes the development and implementation of a model to computationally simulate the growth and migration dynamics of cervical cancer, considering its main characteristics: proliferation, migration and necrosis, as well as its stages of development. The model was developed by means of a cellular automaton with parallel and sequential approaches. The cellular automaton was based on the model of Gompertz to simulate the stages of development of this cancer, which was divided into three stages, each with different behaviors during the simulation. An experimental design was carried out with input parameters that were selected from literary research and its discussion with expert physicians. At the end of the research process, a very good simulation algorithm was obtained compared to the Gompertz medical model and the best parameters for its execution were found by means of a statistically supported factorial design.

Restructuring a parallel simulation to improve cache behavior in a shared-memory multiprocessor

1993 ◽  
Vol 23 (1) ◽  
pp. 159-162
Author(s):  
David R. Cheriton ◽  
Hendrik A. Goosen ◽  
Hugh Holbrook ◽  
Philip Machanick
Keyword(s):  
Shared Memory ◽  
Parallel Simulation ◽  
Shared Memory Multiprocessor
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