2012
DOI: 10.1007/978-3-642-33350-7_32
|View full text |Cite
|
Sign up to set email alerts
|

Coupling Method for Building a Network of Irrigation Canals on a Distributed Computing Environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(8 citation statements)
references
References 11 publications
0
8
0
Order By: Relevance
“…The overheads incurred by distributed multiscale computing have been discussed in the literature [ 19 , 23 ]. In this study, we highlight the benefits, which clearly depend on the details of the application.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The overheads incurred by distributed multiscale computing have been discussed in the literature [ 19 , 23 ]. In this study, we highlight the benefits, which clearly depend on the details of the application.…”
Section: Discussionmentioning
confidence: 99%
“…The 3DFS model requires supercomputer capabilities contrary to the one-dimensional model, which can be executed on clusters or desktop machines. Coupling 3DFS and one-dimensional models results in a multiscale model and simulation [ 19 ]. In addition, using 3DFS with high resolution to get more accurate results cannot be afforded by what a local centre can provide in terms of computing power.…”
mentioning
confidence: 99%
“…and usage of various scientific software packages (LAMMPS and MUSCLE). However, the presented solution is used in many other applications, results are presented in separate papers: biomedical simulation [26], Irrigation Canals Simulation [30,31], Nanomaterials simulation [32].…”
Section: Test Application Case Studymentioning
confidence: 97%
“…One example is the physiology application described in [26]. The usage of tools for simulation of irrigation canals [30,31] was used as a basis for a tutorial used during first seasonal MAPPER school in London. 26 Tools were also applied in the simulation of clay-polymer nanocomposites (Nano-material science) [32], reverse engineering of gene-regulatory networks (Computational Biology), equilibrium-stability and in transport turbulence equilibrium workflows (Fusion modeling).…”
Section: Tools With Real-world Applicationsmentioning
confidence: 99%
“…So far MUSCLE 2 is being used in a number of multiscale models, for instance a collection of parallel Fortran codes of the Fusion community [18], a gene regulatory network simulation [38], a hydrology application [5], and in a multiscale model of in-stent restenosis [10,6,20].…”
Section: Introductionmentioning
confidence: 99%