兆级性能在未来网络中的关键作用:红杉与多核兆级浮点运算芯片

Samreen Amir, M. Asif, M. Mustafa
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引用次数: 2

摘要

随着对高数据速率和最大带宽利用率的需求日益增长,近十年来技术的改进和增强呈指数级增长。研究人员希望大规模并行处理(MPP)计算设备能够提供每秒10万亿或千万亿次浮点运算的处理速率。它将使科学家能够建立以前从未被模仿过的现象模型。许多厂商正忙于研究和开发这种高速机器。本文将从速度、应用程序大小、架构和可负担性等方面对未来的高计算机器进行比较分析。在这种比较的基础上,还将得出关于一种对另一种的优势的预测性结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Pivotal Role of Tera-scale Performance in Future Networks: Sequoia vs Multi-core Teraflop Chip
With the increasing greed for the high data rates and maximum bandwidth utilization, the technology improvement and enhancement is been exponential in the current decade. Researchers hope that massive parallel processing (MPP) computing equipment will provide processing rates of 10 trillion or quadrillion floating-point operations per second. It would allow scientists to build models of phenomena that have never before been imitated. Many vendors are busy in the research and development of such speedy machines. This paper will provide a comparative analysis of the future high computing machines in terms of speed, size applications, architecture and affordability. A predictive conclusion regarding the dominance of one on the other will also be drawn on the basis of this comparison.
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