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

CNS: CORE: Small: iLORE: Computer Systems Performance Integrated Lineage Repository
CNS:核心:小型:iLORE:计算机系统性能集成谱系存储库
批准号:
1939076
负责人:
Kirk Cameron
金额:
$50.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

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中文摘要
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英文摘要
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.
期刊论文(3)
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科研奖励(0)
会议论文
Energy-efficient localised rollback via data flow analysis and frequency scaling
通过数据流分析和频率缩放实现节能的局部回滚
DOI: 10.1145/3236367.3236379
发表时间: 2018
期刊:
影响因子: --
作者: [Dichev K]
通讯作者: Dichev K
Adventures Beyond Amdahl’s Law: How Power-Performance Measurement and Modeling at Scale Drive Server and Supercomputer Design
超越阿姆达尔定律的冒险:大规模功耗性能测量和建模如何驱动服务器和超级计算机设计
DOI: 10.1007/s11390-022-2950-7
发表时间: 2023
期刊: Journal of Computer Science and Technology
影响因子: 1.9
作者: [Cameron, Kirk W.]
通讯作者: Cameron, Kirk W.
Lightning Talks of EduHPC 2020
EduHPC 2020 闪电演讲
DOI: 10.1109/eduhpc51895.2020.00013
发表时间: 2020
期刊: 2020 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC
影响因子: --
作者: [Adams, Joel C., Back, Godmar, Bala, Piotr, Bane, Michael K., Cameron, Kirk, Casanova, Henri, Ellis, Margaret, Ferreira da Silva, Rafael, Jethwani, Gautam, Koch, William]
通讯作者: Koch, William
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR :Small: Exploiting Slowdowns for Speedup in Power-Scalable HPC Systems.
SHF:Small:Collaborative Research: Application-aware Energy Modeling and Power Management for Parallel and High Performance Computing
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