Power Analysis of Computer Game Algorithms for Handheld Embedded System

Handheld PDAs are rapidly gaining in popularity and the capabilities of such devices are increasing at an accelerated pace. Computer game is one of the software applied in most mobile embedded devices that be requested to handle more and more functions in recent year. Most researches of computer games focus on AI performance, computer vision, even social sciences. On the other hand, a large and increasing number of embedded systems are subject to tight power constraints, but strangely no one pays attention to the games on mobile embedded device at present. Our work recognizes the need to provide embedded software designers with feedback about the effect of different algorithms of computer games on energy consumption early in the design cycle. The ability to efficiently analyze battery life under different design choices of games is an important aid in designing battery-efficient systems. In this paper, we present a comprehensive analysis of energy requirements in a wide range of the most used algorithms in different computer game types. Based on our results, we conclude and discuss various opportunities for realizing energy-efficient implementations of game algorithms. We believe that such investigations will be an important first step towards addressing the challenges of energy efficient algorithms for battery-constrained systems