Cloud service platform for Julia programming on supercomputer

ISCAS OpenIR

	Cloud service platform for Julia programming on supercomputer
	Zhang, Changyou (1); Liu, Renfen (2); Duan, Shufeng (3); Zhu, Xiaomin (4); Liu, Wei (4)
	2014
发表期刊	International Journal of Grid and Distributed Computing
ISSN	20054262
卷号	7 期号:4 页码:177-186
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.; 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
部门归属	(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
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/17010
专题	中国科学院软件研究所
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.