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Identifying and forecasting the reverse salient in video game consoles: A performance gap ratio comparative analysis

机译:识别和预测视频游戏机中的反向显着性:性能差距比比较分析

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摘要

This study uses the reverse salient methodology to contrast subsystems in video game consoles in order to discover, characterize, and forecast the most significant technology gap. We build on the current methodologies (Performance Gap and Time Gap) for measuring the magnitude of Reverse Salience, by showing the effectiveness of Performance Gap Ratio (PGR). The three subject subsystems in this analysis are the CPU Score, GPU core frequency, and video memory bandwidth. CPU Score is a metric developed for this project, which is the product of the core frequency, number of parallel cores, and instruction size. We measure the Performance Gap of each subsystem against concurrently available PC hardware on the market. Using PGR. we normalize the evolution of these technologies for comparative analysis. The results indicate that while CPU performance has historically been the Reverse Salient, video memory bandwidth has taken over as the quickest growing technology gap in the current generation. Finally, we create a technology forecasting model that shows how much the video RAM bandwidth gap will grow through 2019 should the current trend continue. This analysis can assist console developers in assigning resources to the next generation of platforms, which will ultimately result in longer hardware life cycles.
机译:这项研究使用反向显着方法来对比视频游戏机中的子系统,以便发现,表征和预测最重大的技术差距。通过显示性能差距比(PGR)的有效性,我们以当前的方法(性能差距和时间差距)为基础来衡量反显着性的大小。此分析中的三个主题子系统是CPU得分,GPU核心频率和视频内存带宽。 CPU分数是为此项目开发的度量标准,它是核心频率,并行核心数和指令大小的乘积。我们根据市场上同时可用的PC硬件来衡量每个子系统的性能差距。使用PGR。我们将这些技术的发展归一化以进行比较分析。结果表明,尽管CPU性能历来是反向显着的,但视频内存带宽已成为当前一代中增长最快的技术差距。最后,我们创建了一个技术预测模型,该模型显示了如果当前的趋势持续到2019年,视频RAM带宽差距将增长多少。该分析可以帮助控制台开发人员将资源分配给下一代平台,最终将导致更长的硬件生命周期。

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