Collaborative Research: PRObE - The NSF Parallel Reconfigurable Observational Environment for Data Intensive Super-Computing and High End Computing

并行可重构观测环境（PRObE）支持未来超级计算体系结构的研究。PRObE为底层系统研究社区提供了一个必要的独特基础设施，以研究扩展（每个节点的线程，节点和处理器数量）以及未来超级计算架构面临的其他挑战。这一基础设施填补了一个众所周知的重大长期存在的研究设施的差距，在国家？通过为系统和底层研究创建一个非常大的共享资源，允许故障注入、电源控制、控制整个资源直至硬件，并提供对资源的直接控制，从而增强了系统的能力。PRObE的独特能力为研究和动手实验开辟了新的机会，这在以前的学术界是不可行的。使用PRObE，低级别系统研究社区正在开发对高端计算的系统级挑战的更好理解，并创建有效的技术来解决这些问题。 PRObE为学术界创造了新的研究机会，具有对未来超级计算架构产生变革性影响的巨大潜力。 PRObE提供实习计划和年度暑期学校，为访问学生提供使用Probe测试平台的HEC系统的实践培训。 拟议的努力包括特别关注来自代表性不足群体的学生，将当地人口纳入新墨西哥州的位置。拟议的基础设施有潜力促进美国保持其在计算系统，数据密集型云计算和数据中心自动化方面的领导地位所需的基础知识的发展。

A Parallel Reconfigurable Observational Environment (PRObE) supports research on future supercomputing architectures. PRObE provides a needed and unique infrastructure to the low-level systems research community to study scaling (number of threads, nodes, and processors per node) and other challenges facing future supercomputing architectures. This infrastructure fills a well known significant long standing research facilities gap in the nation?s capabilities by creating a very large shared resource for systems and low-level research that allows fault injection, power control, controlling the entire resource down to the hardware, and providing direct hands on control of the resource. The unique capabilities of PRObE open up new opportunities for research and hands-on experimentation that is was previously not feasible in the academic community. Using PRObE the low level systems research community is developing an improved understanding of the systems-level challenges for high-end computing, and the creating effective techniques to address them. PRObE creates new research opportunities for the academic community that has the significant potential to have a transformative impact on future supercomputing architectures. PRObE provides an internship program and an annual summer school for hands-on training for visiting students on HEC systems using the Probe testbed. The proposed effort includes special attention to students from underrepresented groups, incorporating populations local to the New Mexico location.The proposed infrastructure has the potential to facilitate the development of advances in basic knowledge required for the US to maintain its leadership positions in computing systems, data-intensive cloud computing, and data center automation.