Multiscale Off-Road Mobility Simulation With Computational Load Balancing for Lower-Scale Discrete-Element Models

2021 ◽  
Author(s):  
Guanchu Chen ◽  
Hiroki Yamashita ◽  
Yeefeng Ruan ◽  
Paramsothy Jayakumar ◽  
Hiroyuki Sugiyama
Keyword(s):  
Load Balancing ◽  
Discrete Element ◽  
Computational Load

Multiscale Off-Road Mobility Simulation With Computational Load Balancing for Lower-Scale Discrete-Element Models

2020 ◽  
Author(s):  
Guanchu Chen ◽  
Hiroki Yamashita ◽  
Yeefeng Ruan ◽  
Paramsothy Jayakumar ◽  
Hiroyuki Sugiyama
Keyword(s):  
Parallel Computing ◽  
Load Balancing ◽  
Discrete Element ◽  
Special Focus ◽  
Multiscale Simulations ◽  
Soil Behavior ◽  
Computational Load ◽  
Terrain Models ◽  
Computing Framework ◽  
Hierarchical Multiscale

Abstract Scalable parallel computing schemes play an important role in physics-based off-road mobility simulations due to complexities in modeling soil behavior for vehicle-terrain interaction. With the hierarchical multiscale off-road mobility simulation capability, limitations of existing computational deformable terrain models can be eliminated, including the use of phenomenological constitutive assumptions in finite element (FE) approaches as well as high computational intensity of discrete element (DE) models. However, parallel computing algorithms for multiscale simulations need to be carefully developed due to possible unbalanced computational loads occurring in lower-scale RVE simulations, which prevents desirable computational speedup. Therefore, this study aims to develop a scalable hybrid MPI-OpenMP parallel computing framework for hierarchical FE-DE multiscale off-road mobility simulations with a special focus on computational load balancing for the lower-scale DE models.

scholarly journals An Optimized Load Balancing Using Firefly Algorithm in Flying Ad-Hoc Network

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 252
Author(s):  
Manjit Kaur ◽  
Deepak Prashar ◽  
Mamoon Rashid ◽  
Zeba Khanam ◽  
Sultan S. Alshamrani ◽  
...  
Keyword(s):  
Load Balancing ◽  
Congestion Control ◽  
Traffic Congestion ◽  
Control Algorithm ◽  
Firefly Algorithm ◽  
Ad Hoc ◽  
Suggested Approach ◽  
Computational Load ◽  
Congestion Control Algorithm ◽  
Traffic Congestion Control

In flying ad hoc networks (FANETs), load balancing is a vital issue. Numerous conventional routing protocols that have been created are ineffective at load balancing. The different scope of its applications has given it wide applicability, as well as the necessity for location assessment accuracy. Subsequently, implementing traffic congestion control based on the current connection status is difficult. To successfully tackle the above problem, we frame the traffic congestion control algorithm as a network utility optimization problem that takes different parameters of the network into account. For the location calculation of unknown nodes, the suggested approach distributes the computational load among flying nodes. Furthermore, the technique has been optimized in a FANET utilizing the firefly algorithm along with the traffic congestion control algorithm. The unknown nodes are located using the optimized backbone. Because the computational load is divided efficiently among the flying nodes, the simulation results show that our technique considerably enhances the network longevity and balanced traffic.

Measuring and Analyzing Migration Delay for the Computational Load Balancing of Distributed Virtual Simulations

2012 ◽  
Vol 61 (12) ◽  
pp. 3158-3174 ◽  
Author(s):  
Robson Eduardo De Grande ◽  
Mohammed A. Almulla ◽  
Azzedine Boukerche
Keyword(s):  
Load Balancing ◽  
Computational Load ◽  
Virtual Simulations

scholarly journals Computational Load Balancing Algorithm for Parallel Knapsack Packing Tree Traversal

2016 ◽  
Vol 88 ◽  
pp. 330-335 ◽  
Author(s):  
Mikhail A. Kupriyashin ◽  
Georgii I. Borzunov
Keyword(s):  
Load Balancing ◽  
Computational Load ◽  
Tree Traversal ◽  
Load Balancing Algorithm

scholarly journals Computational load balancing methods for algorithms parallel implementation on shared memory

2018 ◽  
Author(s):  
Kirill Nikolaevich Efimkin ◽  
◽  
Mikhail Aleksandrovich Solovev ◽  
Alexander Borisovich Bugerya ◽  
Ekaterina Nikolaevna Gladkova ◽  
...  
Keyword(s):  
Load Balancing ◽  
Shared Memory ◽  
Parallel Implementation ◽  
Computational Load

scholarly journals Computational Load Balancing on the Edge in Absence of Cloud and Fog

2019 ◽  
Vol 18 (7) ◽  
pp. 1499-1512 ◽  
Author(s):  
Saurav Sthapit ◽  
John Thompson ◽  
Neil M. Robertson ◽  
James R. Hopgood
Keyword(s):  
Load Balancing ◽  
Computational Load

scholarly journals Automatic computational load balancing between CPU and accelerator

2020 ◽  
Author(s):  
Alexander Nikolaevich Andrianov ◽  
Tat'yana Petrovna Baranova ◽  
Alexander Borisovich Bugerya ◽  
Ekaterina Nikolaevna Gladkova ◽  
Kirill Nikolaevich Efimkin ◽  
...  
Keyword(s):  
Load Balancing ◽  
Computational Load
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