Cloud Service Platform for Julia Programming on Supercomputer
Zhang Changyou, Liu Renfen, Duan Shufeng, Zhu Xiaomin, Wei Liu · International Journal of Grid and Distributed Computing · 2014
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.