编程完全分解系统

Christoph Anneser, Lukas Vogel, F. Gruber, Maximilian Bandle, Jana Giceva
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引用次数: 0

摘要

随着全面的资源分解即将到来,目前还不清楚什么是最合适的编程模型,它使数据流开发人员能够充分利用最近硬件开发提供的潜力。在我们的设想中,我们建议提高抽象层次,以允许开发人员以声明的方式主要推断他们的数据流和需要由底层系统满足的需求。在底层,系统处理类型化内存区域,并使用所有权的概念,允许跨不同计算设备和映射到它们上的任务进行更灵活的内存管理。这需要一个整体的方法,跨越多个层次的系统堆栈,打开令人兴奋的系统研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Programming Fully Disaggregated Systems
With full resource disaggregation on the horizon, it is unclear what the most suitable programming model is that enables dataflow developers to fully harvest the potential that recent hardware developments offer. In our vision, we propose to raise the abstraction level to allow developers to primarily reason about their dataflow and the requirements that need to be met by the underlying system in a declarative fashion. Underneath, the system works with typed memory regions and uses the notion of ownership that allows for more flexible memory management across the different compute devices and the tasks mapped onto them. This requires a holistic approach that crosses multiple layers of the system stack, opening exciting systems research questions.
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