Device lending in PCI express networks

Lars Bjørlykke Kristiansen, Jonas Markussen, H. Stensland, M. Riegler, H. Kohmann, Friedrich Seifert, R. Nordstrøm, C. Griwodz, P. Halvorsen
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引用次数: 10

Abstract

The challenge of scaling IO performance of multimedia systems to demands of their users has attracted much research. A lot of effort has gone into development of distributed systems that add little latency and computing overhead. For machines in PCI Express (PCIe) clusters, we propose Device Lending as a novel solution which works at a system level. Device Lending achieves low latency and extremely low computing overhead without requiring any application-specific distribution mechanisms. For applications, the remote IO resource appears local. In fact, even the drivers of the operating system remain unaware that hardware resources are located in remote machines. By enabling machines in a PCIe cluster to lend a wide variety of hardware, cluster machines can get temporary access to a pool of IO resources. Network cards, FPGAs, SSDs, and even GPUs can easily be shared among computers. Our proposed solution, Device Lending, works transparently without requiring any modifications to drivers, operating systems or software applications.
PCI快速网络中的设备借用
多媒体系统的IO性能如何根据用户的需求进行调整已经引起了人们的广泛关注。分布式系统的开发投入了大量的精力,这些系统增加了很少的延迟和计算开销。对于PCI Express (PCIe)集群中的机器,我们提出设备借贷作为一种新颖的解决方案,它在系统级别上工作。设备借贷实现了低延迟和极低的计算开销,而不需要任何特定于应用程序的分发机制。对于应用程序,远程IO资源显示为本地。实际上,即使是操作系统的驱动程序也不知道硬件资源位于远程机器中。通过使PCIe集群中的机器能够借出各种各样的硬件,集群机器可以获得对IO资源池的临时访问。网卡、fpga、ssd甚至gpu都可以很容易地在计算机之间共享。我们提出的解决方案Device Lending透明地工作,无需对驱动程序、操作系统或软件应用程序进行任何修改。
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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