Please use this identifier to cite or link to this item: http://dspace.azjhpc.org/xmlui/handle/123456789/163
Title: OPTIMIZING PARALLELISM IN UNITY WITH JOB SYSTEM TOOL
Authors: Eyniyev, Rustam
Keywords: Game development;Unity;Multithreading;Entity Component System;Job System;High Performance Computing;Cloud Technologies
Issue Date: Dec-2022
Publisher: Azerbaijan Journal of High Performance Computing
Abstract: Every day the gaming industry is developing faster and faster. Especially the popularity of games increased during the pandemic, as many people were forced to stay at home for a long time and play games in their free time. With the increasing popularity of games, the requirements for the games themselves also increase. As a result, modern games require large computer resources. However, not all people can afford to buy computers with the most expensive video cards, many expensive CPUs, and many RAMs and other components. In order to make games accessible to users with weaker devices, developers have few options. At the moment, there are two main ways to solve this problem. The first is to host games on the cloud, and the second is to optimize games for weaker devices. To optimize games, you can use various methods, including a package Job System for Unity. The Job System is one of the main components for working with threads in an Entity Component System (ECS). Also, in the future, in games with the Unity engine, parallelization between weak devices and High-Performance Computing (HPC) technologies will be combined and implemented using cloud technologies. In the future, when this happens, it will help developers, gamers, and even companies providing cloud services.
URI: http://dspace.azjhpc.org/xmlui/handle/123456789/163
ISSN: 2616-6127
2617-4383
DOI: https://doi.org/10.32010/26166127.2022.5.2.183.192
Journal Title: Azerbaijan Journal of High Performance Computing
Volume: 5
Issue: 2
First page number: 183
Last page number: 192
Number of pages: 10
Appears in Collections:Azerbaijan Journal of High Performance Computing

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