Full-process supported Simulation Platform Framework based on cloud computing and HPC integration

Simulation technology is widely used in many fields, it usually involves three processes, (i) pre-process, (ii) analysis solver, and (iii) post-process. Simulation calculations require a large amount of computing resources, and users usually need to use cloud and High-Performance Computing (HPC) systems to complete works. Simulation works are increasingly depending on the capacity of HPC or cloud, for cost reasons, people are more willing to use the services than self-built an HPC or Cloud computing cluster. However, that leads to the isolation of calculations and pre- and post-processing work, adding additional time for data transfer. Moreover, simulation engineers also want to use cloud servers in pre-processing and post-processing, since compared with local workstations, cloud servers have significant advantages in saving hardware investment, remote office collaboration, and data integration management. Therefore, we provide a platform framework based on cloud computing and HPC integration that supports the full process of simulation. Then, we implemented it in Tianhe-1A and Tianhe exascale supercomputers and THCloud environments. Through a city area-level explosion simulation experiment, it was verified that the framework can fully support the whole process of simulation, and effectively reduce the time of simulation work, improving the simulation engineer’s work efficiency. The study shows that the platform provides a feasible solution for full-process simulation. Compared with other platforms, it has the characteristics of full-process, high performance and high security.

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Publication Details

Journal
Molecular & cellular biomechanics
Published
2024-11-13
DOI
https://doi.org/10.62617/mcb658
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Full-process supported Simulation Platform Framework based on cloud computing and HPC integration

Hao Wang, Jinghua Feng, Lin Wang
Molecular & cellular biomechanics
Distributed and Parallel Computing Systems
article

Full-process supported Simulation Platform Framework based on cloud computing and HPC integration

Hao Wang, Jinghua Feng, Lin Wang
article en

Abstract

Simulation technology is widely used in many fields, it usually involves three processes, (i) pre-process, (ii) analysis solver, and (iii) post-process. Simulation calculations require a large amount of computing resources, and users usually need to use cloud and High-Performance Computing (HPC) systems to complete works. Simulation works are increasingly depending on the capacity of HPC or cloud, for cost reasons, people are more willing to use the services than self-built an HPC or Cloud computing cluster. However, that leads to the isolation of calculations and pre- and post-processing work, adding additional time for data transfer. Moreover, simulation engineers also want to use cloud servers in pre-processing and post-processing, since compared with local workstations, cloud servers have significant advantages in saving hardware investment, remote office collaboration, and data integration management. Therefore, we provide a platform framework based on cloud computing and HPC integration that supports the full process of simulation. Then, we implemented it in Tianhe-1A and Tianhe exascale supercomputers and THCloud environments. Through a city area-level explosion simulation experiment, it was verified that the framework can fully support the whole process of simulation, and effectively reduce the time of simulation work, improving the simulation engineer’s work efficiency. The study shows that the platform provides a feasible solution for full-process simulation. Compared with other platforms, it has the characteristics of full-process, high performance and high security.

Molecular & cellular biomechanicsVol. 21(3)
Yanshan University (CN), Tianjin Metallurgical Vocational Technical College (CN), National Supercomputing Center of Tianjin (CN)
National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Distributed and Parallel Computing Systems
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Full-process supported Simulation Platform Framework based on cloud computing and HPC integration — Hao Wang, Jinghua Feng, et al. · Molecular & cellular biomechanics (2024) | TGRS Research Map | TGRS