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arXiv 2402.06346cs.SE
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广泛使用的Unreal与Unity视频游戏引擎能耗对比分析

A Comparative Analysis of Energy Consumption Between The Widespread Unreal and Unity Video Game Engines

Carlos Pérez, Javier Verón, Francisca Pérez, M Ángeles Moraga, Coral Calero, Carlos Cetina

AI总结:

本研究对比Unity与Unreal Engine在物理、静态网格和动态网格场景下的能耗,发现显著差异,并指出每年可节省至少51太瓦时能源,为节能游戏引擎研究开辟新方向。

摘要:

计算活动的总能源成本正在稳步上升,预测表明,在未来几十年内,它将成为全球主要的能源消耗者之一。然而,或许由于其相对年轻,视频游戏行业尚未形成与其他计算技术同等的环保意识,尽管全球估计有三十亿定期游戏玩家。本研究评估了最广泛使用的行业级视频游戏引擎:Unity和Unreal Engine的能耗。具体而言,我们的工作使用代表视频游戏相关方面的三个场景(物理、静态网格和动态网格)来比较这些引擎的能耗。目的是确定使用这两个引擎中的每一个对能耗的影响。我们的研究已确认视频游戏引擎在能耗上存在显著差异:物理场景中Unity优势达351%,静态网格场景中Unity优势达17%,而动态网格场景中Unreal Engine优势达26%。这些结果代表了全球每年至少51太瓦时的潜在节省机会,相当于近1300万欧洲家庭的年消费量,这可能鼓励对节能视频游戏引擎的新研究方向。

英文摘要:

The total energy cost of computing activities is steadily increasing and projections indicate that it will be one of the dominant global energy consumers in the coming decades. However, perhaps due to its relative youth, the video game sector has not yet developed the same level of environmental awareness as other computing technologies despite the estimated three billion regular video game players in the world. This work evaluates the energy consumption of the most widely used industry-scale video game engines: Unity and Unreal Engine. Specifically, our work uses three scenarios representing relevant aspects of video games (Physics, Statics Meshes, and Dynamic Meshes) to compare the energy consumption of the engines. The aim is to determine the influence of using each of the two engines on energy consumption. Our research has confirmed significant differences in the energy consumption of video game engines: 351% in Physics in favor of Unity, 17% in Statics Meshes in favor of Unity, and 26% in Dynamic Meshes in favor of Unreal Engine. These results represent an opportunity for worldwide potential savings of at least 51 TWh per year, equivalent to the annual consumption of nearly 13 million European households, that might encourage a new branch of research on energy-efficient video game engines.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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