【2h】

From photons to big-data applications: terminating terabits

机译:从光子到大数据应用:终止兆伏

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摘要

Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any individual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the capacity for per system data processing. Despite this, the growth in demand in both task variety and task complexity continues unabated. Networked computer systems provide a fertile environment in which new applications develop. As networked computer systems become akin to infrastructure, any limitation upon the growth in capacity and capabilities becomes an important constraint of concern to all computer users. Considering a networked computer system capable of processing terabits per second, as a benchmark for scalability, we critique the state of the art in commodity computing, and propose a wholesale reconsideration in the design of computer architectures and their attendant ecosystem. Our proposal seeks to reduce costs, save power and increase performance in a multi-scale approach that has potential application from nanoscale to data-centre-scale computers.
机译:随着用户应用程序生成的网络数据量超过任何单个计算机终端系统的数据处理能力,计算机体系结构已进入分水岭。在网络数据量与每个系统数据处理能力之间的差距越来越大的情况下,扩展现有计算机系统将变得不可能。尽管如此,任务种类和任务复杂性的需求增长仍然没有减弱。联网的计算机系统提供了一个肥沃的环境,可以在其中开发新的应用程序。随着联网计算机系统变得类似于基础设施,对容量和功能增长的任何限制都成为所有计算机用户关注的重要限制。考虑到每秒可处理TB的网络计算机系统(作为可伸缩性的基准),我们对商品计算的最新技术提出了批评,并提出了对计算机体系结构及其伴随的生态系统设计的全面考虑。我们的建议旨在通过多尺度方法来降低成本,节省功率并提高性能,该方法具有从纳米尺度计算机到数据中心尺度计算机的潜在应用。

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