An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms

Suvigya Agrawal, Aishwarya Yadav, Disha Parwani, Veena Mayya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern graphics processors provide high processing power, and furthermore, frameworks like CUDA increase their usability as high-performance co-processors for general-purpose computing. The Graphical Processing Units (GPUs) can be easily programmed using CUDA. This paper presents an efficient parallel implementation of CPU scheduling algorithms on modern The Graphical Processing Units (GPUs). The proposed method achieves high speed by efficiently exploiting the data parallelism computing of the The Graphical Processing Units (GPUs).

Original languageEnglish
Title of host publicationInternational Conference on Advanced Computing Networking and Informatics - ICANI-2018
EditorsRaj Kamal, Pramod S. Nair, Michael Henshaw
PublisherSpringer Verlag
Pages429-438
Number of pages10
ISBN (Print)9789811326721
DOIs
Publication statusPublished - 01-01-2019
Externally publishedYes
EventInternational Conference on Advanced Computing, Networking and Informatics, ICANI 2018 - Indore, India
Duration: 22-02-201824-02-2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume870
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Advanced Computing, Networking and Informatics, ICANI 2018
CountryIndia
CityIndore
Period22-02-1824-02-18

Fingerprint

Scheduling algorithms
Parallel algorithms
Program processors
Processing

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Agrawal, S., Yadav, A., Parwani, D., & Mayya, V. (2019). An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. In R. Kamal, P. S. Nair, & M. Henshaw (Eds.), International Conference on Advanced Computing Networking and Informatics - ICANI-2018 (pp. 429-438). (Advances in Intelligent Systems and Computing; Vol. 870). Springer Verlag. https://doi.org/10.1007/978-981-13-2673-8_45
Agrawal, Suvigya ; Yadav, Aishwarya ; Parwani, Disha ; Mayya, Veena. / An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. International Conference on Advanced Computing Networking and Informatics - ICANI-2018. editor / Raj Kamal ; Pramod S. Nair ; Michael Henshaw. Springer Verlag, 2019. pp. 429-438 (Advances in Intelligent Systems and Computing).
@inproceedings{5833e917e08c427f9a8ba4dbf3b7f92f,
title = "An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms",
abstract = "Modern graphics processors provide high processing power, and furthermore, frameworks like CUDA increase their usability as high-performance co-processors for general-purpose computing. The Graphical Processing Units (GPUs) can be easily programmed using CUDA. This paper presents an efficient parallel implementation of CPU scheduling algorithms on modern The Graphical Processing Units (GPUs). The proposed method achieves high speed by efficiently exploiting the data parallelism computing of the The Graphical Processing Units (GPUs).",
author = "Suvigya Agrawal and Aishwarya Yadav and Disha Parwani and Veena Mayya",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-981-13-2673-8_45",
language = "English",
isbn = "9789811326721",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "429--438",
editor = "Raj Kamal and Nair, {Pramod S.} and Michael Henshaw",
booktitle = "International Conference on Advanced Computing Networking and Informatics - ICANI-2018",
address = "Germany",

}

Agrawal, S, Yadav, A, Parwani, D & Mayya, V 2019, An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. in R Kamal, PS Nair & M Henshaw (eds), International Conference on Advanced Computing Networking and Informatics - ICANI-2018. Advances in Intelligent Systems and Computing, vol. 870, Springer Verlag, pp. 429-438, International Conference on Advanced Computing, Networking and Informatics, ICANI 2018, Indore, India, 22-02-18. https://doi.org/10.1007/978-981-13-2673-8_45

An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. / Agrawal, Suvigya; Yadav, Aishwarya; Parwani, Disha; Mayya, Veena.

International Conference on Advanced Computing Networking and Informatics - ICANI-2018. ed. / Raj Kamal; Pramod S. Nair; Michael Henshaw. Springer Verlag, 2019. p. 429-438 (Advances in Intelligent Systems and Computing; Vol. 870).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms

AU - Agrawal, Suvigya

AU - Yadav, Aishwarya

AU - Parwani, Disha

AU - Mayya, Veena

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Modern graphics processors provide high processing power, and furthermore, frameworks like CUDA increase their usability as high-performance co-processors for general-purpose computing. The Graphical Processing Units (GPUs) can be easily programmed using CUDA. This paper presents an efficient parallel implementation of CPU scheduling algorithms on modern The Graphical Processing Units (GPUs). The proposed method achieves high speed by efficiently exploiting the data parallelism computing of the The Graphical Processing Units (GPUs).

AB - Modern graphics processors provide high processing power, and furthermore, frameworks like CUDA increase their usability as high-performance co-processors for general-purpose computing. The Graphical Processing Units (GPUs) can be easily programmed using CUDA. This paper presents an efficient parallel implementation of CPU scheduling algorithms on modern The Graphical Processing Units (GPUs). The proposed method achieves high speed by efficiently exploiting the data parallelism computing of the The Graphical Processing Units (GPUs).

UR - http://www.scopus.com/inward/record.url?scp=85058297091&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058297091&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-2673-8_45

DO - 10.1007/978-981-13-2673-8_45

M3 - Conference contribution

AN - SCOPUS:85058297091

SN - 9789811326721

T3 - Advances in Intelligent Systems and Computing

SP - 429

EP - 438

BT - International Conference on Advanced Computing Networking and Informatics - ICANI-2018

A2 - Kamal, Raj

A2 - Nair, Pramod S.

A2 - Henshaw, Michael

PB - Springer Verlag

ER -

Agrawal S, Yadav A, Parwani D, Mayya V. An Efficient Parallel Implementation of CPU Scheduling Algorithms Using Data Parallel Algorithms. In Kamal R, Nair PS, Henshaw M, editors, International Conference on Advanced Computing Networking and Informatics - ICANI-2018. Springer Verlag. 2019. p. 429-438. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-2673-8_45