In this article I give a brief overview of power and performance optimization methodology on mobile devices. I hope it will help you better understand the challenges involved. I also provide instructions for how to measure device power consumption from the battery controller on Android.
Why is power and performance optimization so challenging on mobile devices? Let’s quickly review how power and performance optimization is performed in HPC (High Performance Computing).
The important metrics regarding power consumption in HPC are:
Sometimes when technology changes, you can't really see yourself using the new features, especially in a business setting. However, I don't think anyone will have that problem with the move to wire free PCs. (Or why to care about Wi terms: WiDi, WiGig/WiDock, Wireless Charging, )
(Вы можете скачать PDF-версию этой статьи во вложении.)
How about the future? Have we reached the pinnacle of power management?
Unlike a lot of previous recent blogs, this series is about power management in general. At the very end of the series, I’ll write specifically about the Intel® Xeon Phi™ coprocessor.
I have talked incessantly over the years about power states (e.g. P-states and C-states), and how the processor transitions from one state to another. For a list of previous blogs in this series, and well as other related blogs on power and power management, see the article at [List0]. But I have left out an important component of power management, namely the policy.
(For a PDF version of this article, download the attachment.)
下载第四代英特尔酷睿处理器简介（代号：Haswell） PDF [614KB]
英特尔推出第四代英特尔® 酷睿™处理器，代号为 Haswell。 其功能基于第三代英特尔® 酷睿™ 处理器显卡。 该篇文章概括介绍了第四代处理器，并突出介绍了英特尔® 锐炬™ 显卡、性能增强功能、低功耗选项、面部识别功能等。 此外，Microsoft Windows* 8 开发人员还可了解桌面和 Modern UI 环境中可用的功能，以及如何利用第四代处理器的功能。
新处理器基于在第二代英特尔® 酷睿™ 处理器中首次推出的处理器显卡架构。 虽然它们采用了 32 纳米制程而构建，但是第三代和第四代处理器均基于 22 纳米技术。 下列参数描述了第三代和第四代处理器之间的差别。
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