EAGER: Collaborative Research: CNS: PRATE: P4 Research enabled by Accelerators in national TestbEds

科学研究越来越多地在计算机中进行，这意味着实验由计算机进行，而不是使用传统的实验室。化学、生物学和物理学只是严重依赖科学计算来取得新发现的科学领域的一小部分例子。这些发现所基于的许多计算模型需要大量的计算、网络和存储资源。这个项目的目标是使一种新型的处理单元--现场可编程门阵列(FPGA)--可供研究社区使用，以提供新的高效的计算和数据通信方式。这个合作项目汇集了东北大学和马萨诸塞大学阿默斯特分校的研究人员，将提供工具和教程，允许网络研究人员在Fabric、Chameleon、CloudLab和由NSF支持的开放云测试床试验台中使用P4编程语言。网络连接的现场可编程门阵列支持内存、网络和处理等资源的分解，并将研究新的工具来支持这种更通用的云处理模型。一旦建立，这个项目提供的工具将使创新研究得以进行：i)网络安全，以确保用户可以产生任意网络流量的系统的安全性；ii)网络内遥测；iii)网络内处理；以及提议者尚未设想的领域。科学计算在过去十年中支持了许多发现(例如引力波、黑洞、蛋白质折叠)，并将在未来带来更多，其中许多具有广泛的社会影响。该项目将生成工具，使网络和计算资源的使用更加高效，从而更好地支持科学应用。P4研究项目将被开发为样本，供更广泛的社区使用。此外，该项目将支持两名研究生，他们将发展数据中心分解和高级网络方面的重要技能。作为该项目的一部分开发的工具和教程将用于原理调查人员教授的数据中心和网络课程。所有开发的工具都将是开源的，因此任何研究人员都可以使用和扩展它们。将开发和共享文档和教程，以帮助广泛采用。一个包含代码、教程和结果链接的网站将托管在开放云测试平台网站(https://octestbed.org/).这些信息将在项目结束后保留至少三年。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Scientific research is increasingly performed "in silico", which means experimentation is performed by a computer instead of using traditional laboratories. Chemistry, Biology, and Physics are only a small set of examples of the science domains that heavily rely on scientific computing to make new discoveries. Many of the computational models these discoveries are based on need massive amounts of computational, networking, and storage resources. The goal of this project is to make a new type of processing unit --Field Programmable Gate Array (FPGA)-- available to the research community to offer new and efficient ways of computation and data communication.This collaborative project, which brings together researchers from Northeastern University and the University of Massachusetts Amherst, will provide tools and tutorials to allow network researchers to use the P4 programming language in network-attached FPGAs that are available in the FABRIC, Chameleon, CloudLab, and Open Cloud Testbed testbeds supported by NSF. Network-attached FPGAs support the disaggregation of resources such as memory, network and processing, and novel tools will be investigated to support this more general cloud processing model. Once established the tools provided by this project will enable innovative research into i) network security to ensure the security of systems where a user can generate arbitrary networking traffic; ii) in-network telemetry; iii) in-network processing; and areas not yet envisioned by the proposers.Scientific computing has supported many discoveries in the past decade (e.g., gravitational waves, black holes, protein folding) and will lead to many more in the future, with many of them having broad societal impacts. This project will generate tools that will make the use of network and compute resources more efficient to better support scientific applications. P4 research projects will be developed as samples to be used by the broader community. In addition, the project will support two graduate students who will develop important skills in data center disaggregation and advanced networking. Tools and tutorials developed as part of this project will be used in data center and networking classes the principle investigators teach.All tools developed will be open sourced so that any researcher can use and expand on them. Documentation and tutorials will be developed and shared to aid widespread adoption. A website with links to code, tutorials, and results will be hosted on the Open Cloud Testbed website (https://octestbed.org/). This information will be maintained for a minimum of three years after the end of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.