HPC software capability landscape in China
文献类型：期刊论文
| 作者 | Chen, Daobi2; Yuan, Liang1; Zhang, Yunquan1; Yan, Jingfu2; Kahaner, David3 |
| 刊名 | INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
 |
| 出版日期 | 2020 |
| 卷号 | 34期号:1页码:115-153 |
| 关键词 | Advanced materials artificial intelligence AI biotechnology biotech earth sciences education energy power natural resources engineering environmental pollution government S&T policy funding high-performance computing (HPC) hw sw apps information technology IT manufacturing mathematics meteorology modeling simulation physics space satellite aerospace |
| ISSN号 | 1094-3420 |
| DOI | 10.1177/1094342018760614 |
| 英文摘要 | Hardware, applications, and software are equally important to the comprehensive strength of a country in the high-performance computing (HPC) arena. China has made significant progress in developing HPC systems in recent years. The nation's first win of the Gordon Bell Prize at Supercomputing 2016 (SC16) also represents an accomplishment in HPC applications. China's subsequent win in 2017 shows that the 2016 accomplishment was no accident. However, lacking adequately reliable and scalable application software remains the biggest challenge for China. Scientists and engineers who can develop algorithms and software to effectively use supercomputers are in short supply. The present report describes the current HPC software development landscape in China, including government projects and leading universities/research organizations/companies in terms of developing application software and programming frameworks (middleware), as well as examples of self-developed software in the application areas of energy and physics, aerospace, manufacturing, weather and climate, biotechnology (biotech), material science, artificial intelligence (AI), and data analytics. In addition, China's demand and supply of HPC experts are analyzed. Data for this report were generated during the first half of 2017. Some modifications to the text have been added to account for new information through the end of 2017. |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000503082100010 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/14988]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Kahaner, David |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China 2.Asian Technol Informat Program, Beijing, Peoples R China 3.Asian Technol Informat Program, 6565 Americas Pkwy NE,Suite 200, Albuquerque, NM 87110 USA |
| 推荐引用方式 GB/T 7714 | Chen, Daobi,Yuan, Liang,Zhang, Yunquan,et al. HPC software capability landscape in China[J]. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS,2020,34(1):115-153. |
| APA | Chen, Daobi,Yuan, Liang,Zhang, Yunquan,Yan, Jingfu,&Kahaner, David.(2020).HPC software capability landscape in China.INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS,34(1),115-153. |
| MLA | Chen, Daobi,et al."HPC software capability landscape in China".INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 34.1(2020):115-153. |
入库方式： OAI收割
来源：计算技术研究所
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