CNS: CORE: Small: iLORE: Computer Systems Performance Integrated Lineage Repository

自从计算机诞生以来，世界就一直在跟踪系统性能。然而，计算机系统性能数据仍然主要由基准、系统或系统组件孤立。这项工作的论点是，大多数现代计算系统（及其相应的性能）都有一个共同的祖先。此外，该项目标志着第一个科学努力，以编目的谱系计算机系统性能随着时间的推移，即iLORE。iLORE将使知识发现和进一步了解计算创新对变革性技术，知识经济和社会变革的影响。iLORE是一个在线的公共知识库，使任何人都能研究计算机系统进化与社会和科学学科中其他变革性变化之间的相关性。在这个项目中，iLORE被用于：1）确定历史上的，变革性的计算机系统性能设计对当前技术的影响; 2）确定导致知识经济创建的计算机系统性能创新的汇合点（例如，诸如云计算服务的新产业）;以及3）探索计算机系统性能演进和社会现象的并置（例如，该项目涉及教师、研究生和十几名本科生，其中50%为女性，20%来自代表性不足的群体。调查人员全年指导本科生和研究生，以创造一个包容性的体验式学习环境，鼓励冒险和奖励贡献者。所有学生都有机会参加并在高度选择性的国际会议上展示他们的研究成果。该奖项反映了NSF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。

Since the dawn of computing, the world has tracked system performance. Yet, computer system performance data is still primarily siloed by benchmark, system, or system component. The thesis of this work is that most modern computing systems (and their corresponding performance) share a common ancestry. Moreover, this project marks the first scientific effort to catalog the lineage of computer system performance over time, namely, iLORE. iLORE will enable knowledge discovery and further understanding of the impact of computing innovations on transformative technologies, the knowledge-based economy, and societal change.iLORE is an online, public repository enabling anyone to study correlations between computer system evolution and other transformative changes in the social and scientific disciplines. In this project, iLORE is being used to: 1) determine the influence of historical, transformative computer system performance designs on current technologies; 2) identify the confluence of innovation in computer system performance that led to the creation of knowledge-based economies (e.g., new industries such as cloud computing services); and 3) explore the juxtaposition of computer system performance evolution and societal phenomenon (e.g., decreases of women in computing since the 1970's, events surrounding the Arab spring since 2010).The project involves faculty, graduate students, and more than a dozen undergraduates including 50% women and 20% from underrepresented groups. The investigators are mentoring undergraduate and graduate students year-round to create an inclusive, experiential learning environment that encourages risk taking and rewards contributors. All students are given opportunities to attend and present their research findings at highly selective international conferences. Research findings are also integrated in coursework taught by the researchers.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.