Institutional Repository
| Cloud service platform for Julia programming on supercomputer | |
| Zhang, Changyou (1); Liu, Renfen (2); Duan, Shufeng (3); Zhu, Xiaomin (4); Liu, Wei (4) | |
| 2014 | |
| Source | International Journal of Grid and Distributed Computing
 |
| ISSN | 20054262 |
| Volume | 7Issue:4Pages:177-186 |
| English Abstract | It is difficult to deeply develop computing ability of supercomputer through programming. There are two approaches to resolve this problem. The first is that programmer masters advanced knowledge about architecture of the supercomputer. The second is to construct a friendly programming environment to ease the difficulties in parallel programming. Julia is a scripting language which supports language-level high performance computing. It is easier to implement parallel algorithm in Julia language. So, we develop a programming supporting environment for Julia to edit and debug source code, and prepare a set of portable function library for heterogeneous supercomputers. These programs are sent to supercomputers through a message system. As job description, these Julia codes are scheduled to proper nodes and executed based on the portable function library. In the computing case of bus-line statistics, the parallel Julia program on 4 nodes achieved a speed up of 3.15x. © 2014 SERSC.; It is difficult to deeply develop computing ability of supercomputer through programming. There are two approaches to resolve this problem. The first is that programmer masters advanced knowledge about architecture of the supercomputer. The second is to construct a friendly programming environment to ease the difficulties in parallel programming. Julia is a scripting language which supports language-level high performance computing. It is easier to implement parallel algorithm in Julia language. So, we develop a programming supporting environment for Julia to edit and debug source code, and prepare a set of portable function library for heterogeneous supercomputers. These programs are sent to supercomputers through a message system. As job description, these Julia codes are scheduled to proper nodes and executed based on the portable function library. In the computing case of bus-line statistics, the parallel Julia program on 4 nodes achieved a speed up of 3.15x. © 2014 SERSC. |
| Indexed Type | EI |
| Department | (1) Institute of Software, Chinese Academy of Science, Beijing 100190, China; (2) Sifang institute, Shijiazhuang Tiedao University, Shijiazhuang 051132, China; (3) Shijiazhuang Tiedao University, Shijiazhuang 050043, China; (4) National Super Computer Center, Jinan 250101, China |
| Language | 英语 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/17010 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Zhang, Changyou ,Liu, Renfen ,Duan, Shufeng ,et al. Cloud service platform for Julia programming on supercomputer[J]. International Journal of Grid and Distributed Computing,2014,7(4):177-186. |
| APA | Zhang, Changyou ,Liu, Renfen ,Duan, Shufeng ,Zhu, Xiaomin ,&Liu, Wei .(2014).Cloud service platform for Julia programming on supercomputer.International Journal of Grid and Distributed Computing,7(4),177-186. |
| MLA | Zhang, Changyou ,et al."Cloud service platform for Julia programming on supercomputer".International Journal of Grid and Distributed Computing 7.4(2014):177-186. |
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