Cloud service platform for Julia programming on supercomputer
文献类型：期刊论文
| 作者 | Zhang, Changyou (1) ; Liu, Renfen (2) ; Duan, Shufeng (3) ; Zhu, Xiaomin (4) ; Liu, Wei (4) |
| 刊名 | International Journal of Grid and Distributed Computing
 |
| 出版日期 | 2014 |
| 卷号 | 7期号:4页码:177-186 |
| ISSN号 | 20054262 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 语种 | 英语 |
| 公开日期 | 2014-12-16 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17010]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。