Parallelization Strategies for Computational Fluid Dynamics Software: State of the Art Review

Afzal, Asif; Ansari, Zahid; Faizabadi, Ahmed Rimaz; Ramis, M.K.

doi:10.1007/s11831-016-9165-4

Cited by 122 publications

(48 citation statements)

References 81 publications

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“…The experimental conclusion is 1) The processing efficiency of MPI parallelization method is Higher than the multi-threaded parallelization method. The parallelization research work is of great significance for the parallelization of other meteorological satellite data processing [13].…”

Section: Discussionmentioning

confidence: 99%

“…The parallelism of the program is characterized by the execution time of the program, the loop part of the program, the data dependency analysis and the execution time and the cycle times ratiop [11], and the parallel point mining in the program is carried out according to the above characteristics. Xu Jinxiu et al [12] proceeded from the numerical simulation program of the Boltzmann model equation for solving the three-dimensional flow problem, and the MPI parallelization and high performance calculation and debugging of the numerical simulation program were carried out by studying the regional decomposition and parallel computing strategy [13]. A large-scale MPI parallel computing test was carried out to study the stability of the developed MPI parallelized region decomposition strategy and program optimization method [14].…”

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confidence: 99%

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A Parallelization Research for FY Satellite Rainfall Estimate Day Knock off Product Algorithm

Lin¹,

Zhao²,

Fan³

et al. 2018

ACS

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With the development of satellite remote sensing technology, more and more requirements are put forward on the timeliness and stability of the satellite weather service system. The FY satellite rainfall estimate day knock off product algorithm runs longer, about 20 minutes, which affects the estimated rainfall product generated timeliness. Research and development of parallel optimization algorithms based on the needs of satellite meteorological services and their effectiveness in practical applications are necessary ways to enhance the high-performance and high-availability capabilities of satellite meteorological services. So aiming at this problem, we started the parallel algorithm research based on the analysis of precipitation estimation algorithm. Firstly, we explained the steps of precipitation estimated date knock off product algorithm; secondly, we analyzed the four main calculation module calculating the amount of algorithms; thirdly, multithreaded parallel algorithm and MPI parallelization was designed. Finally, the multithreaded parallel and MPI parallelization were realized. Experimental results show that the multithreaded parallel and MPI parallelization algorithm could greatly improve the overall degree of computational efficiency. And, MPI parallelization mode has a higher operating efficiency. The performance of parallel processing is closely related to the architecture of the computer. From the perspective of service scheduling and product algorithms, the MPI parallelization approach is adopted to achieve the purpose of improving service quality.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

A Parallelization Research for FY Satellite Rainfall Estimate Day Knock off Product Algorithm

Lin¹,

Zhao²,

Fan³

et al. 2018

ACS

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“…To achieve this, they must rely on high-performance computing (HPC) systems as it is the only environment where these kinds of simulations can be performed [1].…”

Section: Anatomy Of a Supercomputermentioning

confidence: 99%

High-Performance Computing: Dos and Don’ts

Houzeaux¹,

Borrell²,

Fournier³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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Computational fluid dynamics (CFD) is the main field of computational mechanics that has historically benefited from advances in high-performance computing. Highperformance computing involves several techniques to make a simulation efficient and fast, such as distributed memory parallelism, shared memory parallelism, vectorization, memory access optimizations, etc. As an introduction, we present the anatomy of supercomputers, with special emphasis on HPC aspects relevant to CFD. Then, we develop some of the HPC concepts and numerical techniques applied to the complete CFD simulation framework: from preprocess (meshing) to postprocess (visualization) through the simulation itself (assembly and iterative solvers).

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“…Even, though these tools are employed for draw operation, but no work is reported on draw operations of Vee-Cap component due its complexity. Hence we are motivated from this fact and we are using Vee-Cap component for analysis using commercial code ANSYS 16 software package which takes huge time to obtain the results as reported in earlier work [8,9]. …”

Section: Literature Reviewmentioning

confidence: 99%