ECOSCALE异构Exascale硬件平台的可扩展运行时

P. Harvey, K. Bakanov, I. Spence, Dimitrios S. Nikolopoulos
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引用次数: 4

摘要

百亿亿次计算是高性能计算的下一个目标。在推动创建百亿亿级计算平台的过程中,考虑到当前硬件平台的功耗、散热和编程模型的限制,简单地增加硬件设备的数量并不是一个可接受的选择。相反,需要新的硬件技术,加上改进的编程抽象和更自主的运行时系统来实现这一目标。本意见书介绍了一种新的运行时的设计,该运行时适用于正在开发的新型异构硬件平台,用于探索节能、高性能计算。通过扩展和增强OpenCL框架,这项工作将简化当前和未来HPC应用程序的编程,并在这个新的硬件平台上自动调度数据和计算。此外,这项工作探讨了使用fpga来实现百亿亿级的功率和性能目标,以及利用运行时自动影响硬件平台的动态配置和重新配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Scalable Runtime for the ECOSCALE Heterogeneous Exascale Hardware Platform
Exascale computation is the next target of high performance computing. In the push to create exascale computing platforms, simply increasing the number of hardware devices is not an acceptable option given the limitations of power consumption, heat dissipation, and programming models which are designed for current hardware platforms. Instead, new hardware technologies, coupled with improved programming abstractions and more autonomous runtime systems, are required to achieve this goal. This position paper presents the design of a new runtime for a new heterogeneous hardware platform being developed to explore energy efficient, high performance computing. By extending and enhancing the OpenCL framework, this work will both simplify the programming of current and future HPC applications, as well as automating the scheduling of data and computation across this new hardware platform. Also, this work explores the use of FPGAs to achieve both the power and performance goals of exascale, as well as utilising the runtime to automatically effect dynamic configuration and reconfiguration of hardware platforms.
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