Volume 4, Issue 2, June 2020, Page: 30-40
Construction and Management of Astronomical Big Data Analysis and Multi-dimensional Information Visualization Platform
Yang Zherui, Information Technology Center, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, China
Gao Na, Information Technology Center, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, China
Liu Liang, Information Technology Center, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, China
Received: Mar. 10, 2020;       Accepted: Apr. 9, 2020;       Published: Apr. 29, 2020
DOI: 10.11648/j.ajist.20200402.12      View  133      Downloads  57
Abstract
The development of modern astronomy is rapidly and astronomical data increases exponentially. The HPC architecture based on GPU provides an efficient way of astronomic big data computing. Based on secure Ipv6 network environment, PMO has constructed the Big Data Analysis and Multi-dimensional Information Visualization Platform, which can reach the peak computing speed of 352Tflops and the totally storage capacity of 288TB. The platform is composed of 25 computing nodes, one management node and 5 storage nodes. The use of user-friendly, centralized cluster management software, the deployment of proprietary environmental control settings and multi-dimensional visualization of safety management systems form a multi-level, tridimensional and efficient management structure. A high-speed, high-capacity, highly reliable, secure and efficient high-performance computing cluster is finally constructed. The platform has a fully redundant, self-healing, highly scalable distributed storage system, a high-performance InfiniBand parallel computing and storage network, a complete job scheduling system, a cuda parallel computing architecture, and a variety of physical software tools for astronomical applications. It offers a great help to astronomical research topics such as astronomical image processing, moving target extraction, space target orbit calculation, numerical cosmology, cosmology simulation, galaxy fluid simulation. Thus it provides an important information support for the research work of 3 major breakthroughs and 5 key cultivation directions in the "One Three Five" plan of Purple Mountain Observatory.
Keywords
HPC, GPU, Cluster, Parallel Storage, Portal Batch System
To cite this article
Yang Zherui, Gao Na, Liu Liang, Construction and Management of Astronomical Big Data Analysis and Multi-dimensional Information Visualization Platform, American Journal of Information Science and Technology. Vol. 4, No. 2, 2020, pp. 30-40. doi: 10.11648/j.ajist.20200402.12
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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