Computation and visualization of discrete particle systems on gLite-based grid

Kačeniauskas, Arnas; Kačianauskas, Rimantas; Maknickas, Algirdas; Markauskas, Darius

doi:10.1016/j.advengsoft.2011.02.007

Cited by 18 publications

(10 citation statements)

References 22 publications

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“…Moreover, the considered model is convenient for the investigation of communication issues because the size of the transferred data does not depend on the variable number of contacts. The details of the applied DEM model can be found in [43,44].…”

Section: Considered Model Of Demmentioning

confidence: 99%

“…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%

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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: Considered Model Of Demmentioning

confidence: 99%

Section: Parallel Implementationmentioning

confidence: 99%

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

2021

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show abstract

“…The analysis of tri-axial compaction with nearly 1.0 Â 10 5 heterogeneous particles showed a speed-up of 8.81 for 10 processors. Parallel DEM computations on gLite grid infrastructure revealed similar speed-up [20]. A bubbling fluidized bed with 2.5 Â 10 5 particles was simulated by the open source code MFIX based on the static domain decomposition [21].…”

Section: The Related Workmentioning

confidence: 99%

The comparison of two domain repartitioning methods used for parallel discrete element computations of the hopper discharge

Markauskas

Kačeniauskas

2015

Advances in Engineering Software

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“…In the lattice-based DEM methods, cracks and the related phenomena are often visualized in the most straightforward way. The particles are often colored depending on particular scalar attributes, such as the initial high altitude or radii [20][21][22][23]. The propagation of large cracks is illustrated by using the rendered geometry of particles [24].…”

Section: The Related Workmentioning

confidence: 99%

Visualization of cracks by using the local Voronoi decompositions and distributed software

Pacevič

Kačeniauskas

Markauskas

2015

Advances in Engineering Software

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Computation and visualization of discrete particle systems on gLite-based grid

Cited by 18 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

The comparison of two domain repartitioning methods used for parallel discrete element computations of the hopper discharge

Visualization of cracks by using the local Voronoi decompositions and distributed software

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