GPU-Based In Situ Visualization for Large-Scale Discrete Element Simulations

Author:

Qin Pengfei12ORCID,Xia Zhaojie12ORCID,Gao Guoxian12,Tao Xiaofang12ORCID,Guo Li123ORCID

Affiliation:

1. State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

2. School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

3. Innovation Academy for Green Manufacture, Chinese Academy of Sciences, Beijing 100190, China

Abstract

The result of discrete element simulations has tens of thousands of time frames and hundreds of billions of interacting particles in each frame, which may lead to very large data sets. The existing postprocessing visualization technology cannot deal with such large-scale data, which will bring a negative impact to the simulation, affect the simulation speed, and make it difficult to realize the runtime steering. In this work, an attempt has been made to optimize visualization methods by directly accessing DEM simulation results, data exchanging straightly between GPUs, and accelerating pixel composition by GPU. The key feature of this work is that the entire process from DEM simulation to graphical rendering and image composition is done inside the same GPU.

Funder

Chinese Academy of Sciences

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. In-Situ Techniques on GPU-Accelerated Data-Intensive Applications;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

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