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，这意味着实验是通过计算机进行的，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获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。该项目的目标是制造一种新型的处理单元——现场可编程门阵列（FPGA）——可用于研究界，以提供新的有效的计算和数据通信方式。该合作项目汇集了来自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网络附加fpga中使用P4编程语言，这些fpga可用于由NSF支持的FABRIC、Chameleon、CloudLab和Open Cloud Testbed测试平台。网络连接的fpga支持内存、网络和处理等资源的分解，并且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，该项目提供的工具将使以下方面的创新研究成为可能：1)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)网内遥测；Iii)网内处理；以及提案者尚未设想到的领域。在过去的十年中，科学计算支持了许多发现（例如，引力波，黑洞，蛋白质折叠），并将在未来导致更多的发现，其中许多将具有广泛的社会影响。该项目将产生工具，使网络和计算资源的使用更有效，以更好地支持科学应用。P4研究项目将作为样本开发，供更广泛的社区使用。此外，该项目将支持两名研究生，他们将在数据中心分解和高级网络方面发展重要技能。作为这个项目的一部分开发的工具和教程将在主要研究者教授的数据中心和网络课程中使用。所有开发的工具都将是开源的，以便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Open Cloud Testbed网站（https://octestbed.org/）上。这些信息将在项目结束后至少保存三年。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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.