Parallel FEM Software for CFD Problems

Kačeniauskas, Arnas; Rutschmann, Peter

doi:10.15388/informatica.2004.066

Cited by 12 publications

(9 citation statements)

References 22 publications

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“…The long computational time of DEM simulations limits the analysis of industrial-scale applications. The selection of an efficient parallel solution algorithm depends on the specific characteristics of the considered problem and the numerical method used [44][45][46][47]. The parallel DEM algorithms differ from the analogous parallel processing in the continuum approach.…”

Section: Parallel Implementationmentioning

confidence: 99%

Performance of Communication- and Computation-Intensive SaaS on the OpenStack Cloud

2021

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The pervasive use of cloud computing has led to many concerns, such as performance challenges in communication- and computation-intensive services on virtual cloud resources. Most evaluations of the infrastructural overhead are based on standard benchmarks. Therefore, the impact of communication issues and infrastructure services on the performance of parallel MPI-based computations remains unclear. This paper presents the performance analysis of communication- and computation-intensive software based on the discrete element method, which is deployed as a service (SaaS) on the OpenStack cloud. The performance measured on KVM-based virtual machines and Docker containers of the OpenStack cloud is compared with that obtained by using native hardware. The improved mapping of computations to multicore resources reduced the internode MPI communication by 34.4% and increased the parallel efficiency from 0.67 to 0.78, which shows the importance of communication issues. Increasing the number of parallel processes, the overhead of the cloud infrastructure increased to 13.7% and 11.2% of the software execution time on native hardware in the case of the Docker containers and KVM-based virtual machines of the OpenStack cloud, respectively. The observed overhead was mainly caused by OpenStack service processes that increased the load imbalance of parallel MPI-based SaaS.

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Section: Parallel Implementationmentioning

confidence: 99%

Performance of Communication- and Computation-Intensive SaaS on the OpenStack Cloud

2021

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“…7 also shows the results of the speed-up study solving the second test case. The unpredictable nature of particles moving between processors makes speed-up curves more chaotic than the curves obtained in parallel FEM computations (Kačeniauskas and Rutschmann, 2004). The plotted curves illustrate the superiority of the speed-up achieved for the first benchmark problem in comparison with that obtained solving the second benchmark.…”

Section: Numerical Results and Discussionmentioning

confidence: 93%

Parallel DEM Software for Simulation of Granular Media

Maknickas¹,

Kačeniauskas²,

Kačianauskas³

et al. 2006

Informatica

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The paper describes the development and performance of parallel algorithms for the discrete element method (DEM) software. Spatial domain decomposition strategy and message passing inter-processor communication have been implemented in the DEMMAT code for simulation of visco-elastic frictional granular media. The novel algorithm combining link-cells for contact detection, the static domain decomposition for parallelization and MPI data transfer for processors exchanging particles has been developed for distributed memory PC clusters. The parallel software DEMMAT_PAR has been applied to model compacting of spherical particles in the rectangular box. Two benchmark problems with different numbers of particles have been solved in order to measure parallel efficiency of the code. The inter-processor communication has been examined in order to improve domain decomposition topology and to achieve better load balancing. The speed-up equal to 11 has been obtained on 16 processors. The parallel performance study has been performed on the PC cluster

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“…The discussed numerical algorithms have been implemented in the code FEMTOOL (Kačeniauskas and Rutschmann, 2004), which allows implementation of any partial differential equation with minor expenses. Time dependent problems are solved using spacetime finite elements.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…The stabilization nature of the formulation prevents numerical oscillation of incompressible flows when equal-order interpolation functions for velocity and pressure are used and preserves the consistency of the standard Galerkin method when adaptive remeshing is performed. The detailed description of variational formulation and stabilization parameters can be found in the work (Kačeniauskas and Rutschmann, 2004).…”

Section: Mathematical Model Of the Flowmentioning

confidence: 99%

Development of Efficient Interface Sharpening Procedure for Viscous Incompressible Flows

Kačeniauskas¹

2008

Informatica

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The paper describes the development of the efficient interface sharpening procedure for viscous incompressible flows governed by the Navier-Stokes equations. The moving interface has been captured by a pseudo-concentration method. The solution domain has been discretised by the space-time finite elements, while numerical schemes have been stabilised by the Galerkin least squares method. The dam break problem including breaking waves has been solved in order to validate the performance of the numerical technique. The computed position of the leading edge of water column has been compared with the experimental measurements. The detailed investigation of numerical parameters governing the sharpness of the front and mass conservation has been presented.

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Parallel FEM Software for CFD Problems

Cited by 12 publications

References 22 publications

Performance of Communication- and Computation-Intensive SaaS on the OpenStack Cloud

Performance of Communication- and Computation-Intensive SaaS on the OpenStack Cloud

Parallel DEM Software for Simulation of Granular Media

Development of Efficient Interface Sharpening Procedure for Viscous Incompressible Flows

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