“Architecting the future through heterogeneous computing”

Lisa T. Su
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引用次数: 16

Abstract

Anyone wishing to drive advances in computing technology must carefully negotiate key trade-offs. First, reducing power consumption is increasingly critical. Consumers want improved battery life, size, and weight for their laptops, tablets, and smartphones. Likewise, data-center power demands and cooling costs continue to rise. Concurrent is the demand for improved performance that enables compelling new user experiences. Users want to access devices through more natural interfaces (speech and gesture); they also want devices to manage ever-expanding volumes of data (home movies, pictures, and a world of content available in the cloud). An essential part of making these new user experiences available is programmer productivity; software developers must easily be able to tap into new capabilities by using familiar, powerful programming models. Finally, it is increasingly important that software be supported across a broad spectrum of devices; developers cannot sustain today's trend of re-writing code for an ever expanding number of different platforms.
“通过异构计算构建未来”
任何希望推动计算技术进步的人都必须仔细权衡关键的取舍。首先,降低能耗变得越来越重要。消费者希望提高笔记本电脑、平板电脑和智能手机的电池寿命、尺寸和重量。同样,数据中心的电力需求和冷却成本也在不断上升。并发是对改进性能的需求,以实现引人注目的新用户体验。用户希望通过更自然的界面(语音和手势)访问设备;他们还希望设备能够管理不断扩大的数据量(家庭电影、图片和云上的海量内容)。让这些新用户体验可用的一个重要部分是程序员的生产力;软件开发人员必须能够通过使用熟悉的、强大的编程模型轻松地开发新的功能。最后,软件在广泛的设备上得到支持变得越来越重要;开发人员无法维持为不断增加的不同平台重新编写代码的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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