Abstract
CPUs and GPUs have been evolving rapidly over time regarding their capabilities and processing power. This has opened many new possibilities for interactive and real time systems, such as more sophisticated scene realism, more precise and complex artificial intelligence, and better physical simulations. However, these improvements come at a cost: increase of energy consumption. Energy management in interactive and real time architectures have not been receiving much attention over the years, but this issue is likely to become important in the near future due to the increasing energy demand and consumption required by top-notch game applications(especially regarding the mobile and portable consoles). In this paper we introduce the concept of intelligent energy management for games and interactive systems and address the aforementioned issue through these contributions: 1) an investigation of works related to energy management (in general); 2) implementations of feasibility tests for energy management on GPUs; and 3) a novel game architecture with energy management, using multiple GPUs.
Highlights
Computer games have become very sophisticated regarding rendering enhancements, modeling, animations, artificial intelligence, and physics simulations
In order to coordinate the correct execution of all game activities, a game architecture employs at its core a structure known as the game loop
In order to help in filling this gap, in this paper we provide these contributions: 1) an investigation of works related to energy management; 2) implementations of feasibility tests for energy management on GPUs; and 3) a novel parallel game architecture that uses multiple GPUs and applies energy management
Summary
Computer games have become very sophisticated regarding rendering enhancements, modeling, animations, artificial intelligence, and physics simulations. A) Multi-thread Models for CPUs: Rhalibi et al [23] present a different approach for real-time loops by taking into consideration dependencies among game related tasks. The first game loop model that integrated the GPU for GPGPU tasks used GPUs as math co-processors in real-time applications (as games and physics simulations) [24].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
