更多的摩尔

M. Badaroglu
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引用次数: 0

摘要

基于摩尔定律的系统扩展正日益受到电力和互连带宽等资源稀缺的挑战。在大数据与即时数据无缝交互的要求下,这就更具挑战性了(图MM-1)。即时数据生成需要具有“始终在线”功能的超低功耗设备,同时需要能够即时生成数据的高性能设备。大数据需要大量的计算、通信带宽和内存资源来生成客户端所需的服务和信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
More Moore
System scaling enabled by Moore's scaling is increasingly challenged by the scarcity of resources such as power and interconnect bandwidth. This has become more challenging under the requirements of seamless interaction between big data and instant data (Figure MM-1). Instant data generation requires ultra-low-power devices with an “always-on” feature at the same time with high-performance devices that can generate the data instantly. Big data requires abundant computing, communication bandwidth, and memory resources to generate the service and information that clients need.
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