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Data I/O management approach for the post-hoc visualization of big simulation data results

International Journal of Modeling, Simulation, and Scientific Computing 2018年第3期9卷 77-92页

作者： Jorji Nonaka Eduardo C.Inacio kenji Ono Mario A.R.Dantas Yasuhiro kawashima Tomohiro kawanabe Fumiyoshi Shoji RIkEN Advanced Institute for Computational Science kobe Japan kyushu University FukuokaJapan Federal University of Santa Catarina(UFSC)Florian´opolis Brazil Fujitsu NaganoJapan

Leading-edge supercomputer.,such as the k computer.have generated a vast amount of simulation results,and most of these datasets were stored on the file system for the post-hoc analysis such as *** this work,we first investigated the data generation trends of the k computer.by analyzing some operational log data *** verified a tendency of generating large amounts of distributed files as simulation outputs,and in most cases,the number of files has been proportional to the number of utilized computational nodes,that is,each computational node producing one or more *** that the computational cost of visualization tasks is usually much smaller than that required for large-scale numerical simulations,a flexible data input/output(I/O)management mechanism becomes highly useful for the post-hoc visualization and *** this work,we focused on the xDMlib data management library,and its flexible data I/O mechanism in order to enable flexible data loading of big computational climate simulation *** the proposed approach,a pre-processing is executed on the target distributed files for generating a light-weight metadata necessary for the elaboration of the data assignment mapping used in the subsequent data loading *** evaluated the proposed approach by using a 32-node visualization cluster,and the k *** the inevitable performance penalty associated with longer data loading time,when using smaller number of processes,there is a benefit for avoiding any data replication via copy,conversion,or *** addition,users will be able to freely select any number of nodes,without caring about the number of distributed files,for the post-hoc visualization and analysis purposes.

关键词： Scientific visualization distributed data data management k computer.

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