Computing accelerators must significantly improve at least one metric such as: cost, speed, or efficiency for customers to find them useful. They must do this for at least one application that large numbers of users care about to become a commercial success. Furthermore, accelerators must improve the metric that customers care most about for a given application. We show that it is trivial to build an embedded sensor system that improves temperature sampling speed by 38,142 times and energy efficiency by 2 times compared to the state of the art in an application where these metrics do not matter. We then explain that this computing accelerator is not likely to displace the bimetallic kettle switch in the market because consumers are optimizing for cost, not temperature measurement sampling speed and efficiency when they buy a kettle.

翻译：计算加速器必须至少在成本、速度或效率等指标上显著提升，才能对用户产生实用价值。同时，它们还需在大量用户关注的至少一个应用中实现这一提升，才能取得商业成功。此外，加速器必须针对特定应用，优化用户最关心的指标。我们证明，构建一个嵌入式传感器系统是轻而易举的——在温度采样速度上可提升38,142倍，能效提升2倍，远超现有技术水平，但这一应用场景中这些指标毫无意义。随后我们解释，这款计算加速器不太可能取代市场上的双金属片水壶开关，因为消费者购买水壶时，优化的是成本，而非温度测量采样速度与效率。