원문정보
초록
영어
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.
목차
1. Introduction
2. Architecture of Julia Cloud Platform
2.1. User Programming Environment (UPE)
2.2. Message Passing System (MPS)
2.3. Julia Running Environment (JRE)
2.4. Supercomputer
3. System Design
3.1. User Programming Environment
3.2 Message Passing System
3.3. Julia Running Environment
4. Use Case of Bus-line Statistics in Beijing
4.1. Use Case Description
4.2. Computing Model
4.3. Computing Model
4.4. Experimental Results
5. Process of Cloud Computing
6. Conclusion and Further Research
Acknowledgments
References