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Power and energy analysis on intel Single-Chip Cloud Computer system

机译:英特尔单芯片云计算机系统的电源和能量分析

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Improving the computing performance of the multicore and many-core systems is one of the primary interests to computer architecture researchers currently. Message Passing Interface (MPI) and Multi-core techniques are converged to solve this problem. With performance enhancement, the power and energy consumption increase correspondingly. The Single-Chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. This paper proposed an approach to study the power and energy consumption on the 48-core SCC many-core system and realized the message passing on the SCC. First, we profile the execution time, voltage and current on each running set. Later, we calculated the power and energy consumption, and compared them with increasing number of cores, varying voltage and frequency levels. Finally, we reached a conclusion focus on its scalability and relationship between power/energy consumption and system performance in terms of execution time.
机译:当前,提高多核和多核系统的计算性能是计算机体系结构研究人员的主要兴趣之一。消息传递接口(MPI)和多核技术已融合在一起以解决此问题。随着性能的提高,功耗和能耗相应增加。单芯片云计算机(SCC)是英特尔实验室创建的实验处理器。本文提出了一种在48核SCC多核系统上研究功耗和能耗的方法,并实现了消息在SCC上的传递。首先,我们分析每个运行集的执行时间,电压和电流。后来,我们计算了功耗和能耗,并将它们与不断增加的内核数,变化的电压和频率水平进行了比较。最后,我们就其可扩展性以及执行时间方面的功耗/能耗与系统性能之间的关系达成了一个结论。

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