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Improving the Job Success Rate through Analysis of User Logs in HPC
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 Title & Authors
Improving the Job Success Rate through Analysis of User Logs in HPC
Yoon, JunWeon; Hong, TaeYoung; Kong, Ki-Sik; Park, ChanYeol;
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 Abstract
Supercomputers are used for many different areas including new product design of industries as well as state-of-the-art science and technology for large amount of computational needs. Tachyon is a 4th supercomputer built at KISTI that is a high-performance parallel computing system with 3,200 computing nodes and infrastructures. This system is currently about 10,000 users and over 170 organizations are used, the number of jobs they are performing work in batch type form through a scheduler. Also, this system logs lots of job scripts, execution environment, library, job status from the job submit to end. In this paper, we analyzed batch jobs information from Sun Grid Engine, that use as a scheduler in Tachyon system, and job executed information in Tachyon System. In particular, we distinguished the fail jobs from the all tasks that users perform and we analyzed the cause of failure. Among them, we can extracted some of jobs that can be regarded as normal jobs through the improvement in those works logged as all of fail jobs.
 Keywords
HPC;Supercomputer;Scheduler;Batch job;Log Analysis;
 Language
Korean
 Cited by
 References
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