Parallel method of parabolic equation for electromagnetic environment simulation

Shen, Yuewei; Cao, Chen

doi:10.1109/itnec.2016.7560414

Cited by 1 publication

(1 citation statement)

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“…More recently, this problem has been addressed by using hybrid parallel programming paradigms, like those that adopt both a parametrized communication paradigm, such as the message passing interface, MPI [7], and an application programming interface, such as OpenMP [8,9]. Such a hybrid programming approach has been used in several fields, such as computational fluid dynamics [10,11], chemical simulations [12,13], geotechnics [14], high efficiency video coding [15], and electromagnetic simulations [16][17][18], due to its very interesting performance [19]. As pointed out in [19,20], the advantages of using a hybrid OpenMP-MPI programming approach are many, as follows: (i) suitability to the architecture of modern supercomputers, with interconnected shared memory nodes; (ii) improved scalability; (iii) optimization of the total consumed memory; (iv) reduction in the number of MPI processes.…”

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confidence: 99%

Fast and Accurate Solution of Integral Formulations of Large MQS Problems Based on Hybrid OpenMP–MPI Parallelization

et al. 2022

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This paper proposes an optimal strategy to parallelize the solution of large 3D magneto-quasi-static (MQS) problems, by combining the MPI and OpenMP approaches. The studied numerical problem comes from a weak-form integral formulation of a MQS problem and is finally cast in terms of a large linear system to be solved by means of a direct method. For this purpose, two main tasks are identified: the assembly and the inversion of the matrices. The paper focuses on the optimization of the resources required for assembling the matrices, by exploiting the feature of a hybrid OpenMP–MPI approach. Specifically, the job is shared between clusters of nodes in parallel by adopting an OpenMP paradigm at the node level and a MPI one at the process level between nodes. Compared with other solutions, such as pure MPI, this hybrid parallelization optimizes the available resources, with respect to the speed, allocated memory, and the communication between nodes. These advantages are clearly observed in the case studies analyzed in this paper, coming from the study of large plasma fusion machines, such as the fusion reactor ITER. Indeed, the MQS problems associated with such applications are characterized by a huge computational cost that requires parallel computing approaches.

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