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Volume 351 - International Symposium on Grids & Clouds 2019 (ISGC2019) - Supercomputing, High Throughput Computing, Accelerator Technologies, and their Integration
A Resource-saving Job Monitoring System of High Performance Computing using Parent and Child Process
K. Piyoungkorn,* P. Thaenkaew, C. Vorakulpipat
*corresponding author
Full text: pdf
Published on: 2019 November 21
Abstract
High performance computing has been more important in the past decade. In the present day, data used for processing becomes enormous. Where a high performance computing resource is needed to help process the data. Some scientific experiments involving big data. Which requires high speed data processing cannot be done by an ordinary computer system. Also, there is a need for support of parallel processing. The solution starts by dividing the job into a number of sections to be processed into parts and the processing unit each processing unit of data at the same time. Then, the system sends the calculated result back to the compiled. This mechanism will speed up the processing time to complete the task and generate more output at the same time. Therefore, a solution in this study is to maximize efficiency when using the resources of the computer which involves the processing power of the processor (CPU Cores).When the HPC system has a large number of concurrent users and requests processing resources that do not match the actual usage. Therefore requires a system to detect job requests that use inefficient computing resources to help users and system administrators to work effectively.
DOI: https://doi.org/10.22323/1.351.0034
Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.