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Performance Evaluation of High Performance Computing Resources and Job Management

Anika Karwal1 , O.P. Gupta2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 142-146, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.142146

Online published on May 31, 2019

Copyright © Anika Karwal, O.P. Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anika Karwal, O.P. Gupta, “Performance Evaluation of High Performance Computing Resources and Job Management,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.142-146, 2019.

MLA Style Citation: Anika Karwal, O.P. Gupta "Performance Evaluation of High Performance Computing Resources and Job Management." International Journal of Computer Sciences and Engineering 7.5 (2019): 142-146.

APA Style Citation: Anika Karwal, O.P. Gupta, (2019). Performance Evaluation of High Performance Computing Resources and Job Management. International Journal of Computer Sciences and Engineering, 7(5), 142-146.

BibTex Style Citation:
@article{Karwal_2019,
author = {Anika Karwal, O.P. Gupta},
title = {Performance Evaluation of High Performance Computing Resources and Job Management},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {142-146},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4212},
doi = {https://doi.org/10.26438/ijcse/v7i5.142146}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.142146}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4212
TI - Performance Evaluation of High Performance Computing Resources and Job Management
T2 - International Journal of Computer Sciences and Engineering
AU - Anika Karwal, O.P. Gupta
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 142-146
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

High Performance Computing (HPC) is a highly emerging concept in the field of computer science and technology. HPC makes the use of parallel computing to solve complex computational problems at a very high speed. Data and compute intensive applications require distinct and different resources, so it becomes utmost important to manage resources and schedule jobs accordingly. HPC is a hard and complex concept to be understood so most of it remains under-utilized. To improve operational functionality and enhance utilization of HPC many systems have been developed. The system used in this research is PBS. Resource management and job scheduling is a major research area in high performance computing. Portable Batch System (PBS) is a scheduling and resource management system. It is used for job accounting and extensible batch job queueing. Three primary goals of PBS are queueing, scheduling and monitoring the jobs. Along these lines, the fundamental objective of this paper is to give novel powerful resource management and job planning and scheduling techniques that is reasonable for all the above purposes and can be coordinated with HPC frameworks.

Key-Words / Index Term

High Performance Computing (HPC), Job Scheduling, Portable Batch System (PBS), Resource Scheduling

References

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