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O. Bystrov, R. Pacevic, A. Kaceniauskas, "Hybrid Parallelization of Discrete Element Software for Heterogeneous Resources", in P. Iványi, F. Magoulès, B.H.V. Topping, (Editors), "Proceedings of the Seventh International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 4, Paper 4.1, 2023, doi:10.4203/ccc.4.4.1

Keywords: hybrid parallelization, discrete element method, resource-aware partitioning, heterogeneous cloud resources, OpenCL, MPI.

Abstract

This paper presents the hybrid parallelization of DEM software developed by using OpenCL for shared-memory architectures and MPI for distributed-memory heterogeneous resources. Resource-aware partitioning based on the weighted RCB method adapts computational workload to heterogeneous Docker containers of the OpenStack cloud. The execution time of benchmark on 7 heterogeneous containers, including the container equipped by GPU, is reduced up to 32.6% of the execution time obtained by using unweighted repartitioning. The speedup of parallel computations up to 6.0 is measured on 8 heterogeneous containers. The replacement of 3 faster containers by 3 slower ones slightly decreases the speedup up to 7.4% of the speedup measured on 5 homogeneous containers.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 4 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GPU AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, F. Magoulès and B.H.V. Topping Paper 4.1 Hybrid Parallelization of Discrete Element Software for Heterogeneous Resources O. Bystrov, R. Pacevic and A. Kaceniauskas Department of Graphical Systems, Vilnius Gediminas Technical University, Lithuania doi:10.4203/ccc.4.4.1 Full Bibliographic Reference for this paper O. Bystrov, R. Pacevic, A. Kaceniauskas, "Hybrid Parallelization of Discrete Element Software for Heterogeneous Resources", in P. Iványi, F. Magoulès, B.H.V. Topping, (Editors), "Proceedings of the Seventh International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 4, Paper 4.1, 2023, doi:10.4203/ccc.4.4.1 Keywords: hybrid parallelization, discrete element method, resource-aware partitioning, heterogeneous cloud resources, OpenCL, MPI. Abstract This paper presents the hybrid parallelization of DEM software developed by using OpenCL for shared-memory architectures and MPI for distributed-memory heterogeneous resources. Resource-aware partitioning based on the weighted RCB method adapts computational workload to heterogeneous Docker containers of the OpenStack cloud. The execution time of benchmark on 7 heterogeneous containers, including the container equipped by GPU, is reduced up to 32.6% of the execution time obtained by using unweighted repartitioning. The speedup of parallel computations up to 6.0 is measured on 8 heterogeneous containers. The replacement of 3 faster containers by 3 slower ones slightly decreases the speedup up to 7.4% of the speedup measured on 5 homogeneous containers. download the full-text of this paper (PDF, 1373 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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