Scaling knowledge based virtual worlds : an efficiency gain through multi-core architectures

Joint Authors

Zia, Kashif
Asrar, Zahrah
Rabi, Ihsan
Farooq, Umar

Source

Journal of Engineering Research

Issue

Vol. 11, Issue 1 A (31 Mar. 2023), pp.94-107, 14 p.

Publisher

Kuwait University Academic Publication Council

Publication Date

2023-03-31

Country of Publication

Kuwait

No. of Pages

14

Main Subjects

Mechanical Engineering

Abstract EN

This paper investigates the impact of sequential content load algorithm on regional transfer in OpenSimulator framework.

It, then, presents an abstract parallel content load algorithm, which is implemented using the basic parallel for and chunk partitioning constructs to exploit the parallelism of multi-core architectures.

This work used a set of five example virtual worlds content to investigate the effectiveness of the proposed work and its impact on the reallocation process of regions in OpenSimulator.

Simulation results revealed that the implementation using parallel for reduced the timings by 47% to 57% while the implementation using chunk partitioning minimized it by 63% to 72%.

Time impact on regional transfer was reduced by 39% to 51% using parallel for while 52% to 66% using chunk partitioning.

American Psychological Association (APA)

Farooq, Umar& Asrar, Zahrah& Rabi, Ihsan& Zia, Kashif. 2023. Scaling knowledge based virtual worlds : an efficiency gain through multi-core architectures. Journal of Engineering Research،Vol. 11, no. 1 A, pp.94-107.
https://search.emarefa.net/detail/BIM-1494583

Modern Language Association (MLA)

Farooq, Umar…[et al.]. Scaling knowledge based virtual worlds : an efficiency gain through multi-core architectures. Journal of Engineering Research Vol. 11, no. 1 A (Mar. 2023), pp.94-107.
https://search.emarefa.net/detail/BIM-1494583

American Medical Association (AMA)

Farooq, Umar& Asrar, Zahrah& Rabi, Ihsan& Zia, Kashif. Scaling knowledge based virtual worlds : an efficiency gain through multi-core architectures. Journal of Engineering Research. 2023. Vol. 11, no. 1 A, pp.94-107.
https://search.emarefa.net/detail/BIM-1494583

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 105-107

Record ID

BIM-1494583