Clouds, clusters and ManyCore: The revolution ahead

D. Reed
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引用次数: 3

Abstract

Without doubt, scientific discovery, business practice and social interactions are moving rapidly from a world of homogeneous and local systems to a world of distributed software, virtual organizations and cloud computing infrastructure, all powered by multicore processors and large-scale infrastructure. In science, a tsunami of new experimental and computational data and a suite of increasingly ubiquitous sensors pose vexing problems in data analysis, transport, visualization and collaboration. In society and business, software as a service and cloud computing are empowering distributed groups. Letpsilas step back and think about the longer term future. Where is the technology going and what are the implications? What architectures are appropriate? How to we manage power and scale? What are the right size building blocks? How do we come to grips with the fact that our clusters and data centers are now bigger than the Internet was just a few years ago? How do we develop and support malleable software? What is the ecosystem of components in which distributed, data rich applications will operate? How do we optimize performance and reliability? How do we program these systems?
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云、集群和多核心:未来的革命
毫无疑问,科学发现、商业实践和社会互动正在迅速从同质和本地系统的世界转变为分布式软件、虚拟组织和云计算基础设施的世界,所有这些都由多核处理器和大规模基础设施提供支持。在科学领域,新实验和计算数据的海啸,以及一套越来越无处不在的传感器,在数据分析、传输、可视化和协作方面带来了令人烦恼的问题。在社会和商业中,软件即服务和云计算正在增强分布式群体的能力。先退后一步,想想更长远的未来。这项技术的发展方向和影响是什么?什么样的架构是合适的?我们如何管理权力和规模?什么是合适大小的积木?我们如何面对这样一个事实:我们的集群和数据中心现在比几年前的互联网还要大?我们如何开发和支持可延展性软件?分布式、数据丰富的应用程序将运行的组件生态系统是什么?我们如何优化性能和可靠性?我们如何对这些系统进行编程?
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