CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
批准号:
1565314
负责人:
Kirk Cameron
金额:
$118.98万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2019-07-31
中文摘要
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英文摘要
The usefulness of the smallest mobile system in a pocket and the largest and fastest supercomputers in datacenters around the world require unrelenting advances in systems software design. These advances make computers faster, more reliable, more secure, better able to analyze large data sets, and ultimately essential to the lives of nearly everyone on the planet.Variability can wreak havoc on the performance of large-scale computer systems that support high-performance computing and e-commerce. In high-performance computing, variability threatens U.S. competitiveness and our ability to achieve exascale performance within the cost and energy constraints of supercomputers. In e-commerce (e.g., Amazon and Wall Street trading), variability threatens profit margins by requiring greater capital expenditures to compensate for potential swings in the performance of datacenters and the cloud. System variability also impairs our capacity to separate malware from normal system activity.This project will develop techniques to increase the ability to identify and manage variability in advanced computing systems. Specifically, this project will focus on developing the VarSys software framework to control aspects of variability and ultimately improve the design and operational efficiencies of both high-performance and cloud systems. Furthermore, to highlight the broader impact of VarSys beyond computer systems design, applying variability identification and management to improve malware detection will be an important component.In addition to publishing the results and creating open source software, the project team will be hosting technical meetings to encourage broad participation in the development of variability metrics and benchmarks for advanced computer systems. The intent is to develop an ecosystem of stakeholders dedicated to progress in the emergent area of computer system software variability. In addition to training graduate students, there will also be hack-a-thons targeting undergraduate students to educate them on the future impact of variability and encourage their involvement in related research.At present, computer system variability is often viewed as noise or an unavoidable consequence of complex designs. This project isolates causes of variability and identifies conditions when variability can be managed. When complete, the resulting VarSys software will enable scientific computer systems research previously impracticable. The usefulness of the techniques to improve the designs of advanced computing systems including high-performance supercomputers, cloud datacenters, and malware detection software will be demonstrated. These advances ultimately impact the lives and livelihood of consumers as well as ensuring U.S. competitiveness in science and e-commerce.
期刊论文(28)
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DOI:
10.1145/3140368.3140371
发表时间:
2017-11
期刊:
Proceedings of the 2017 Workshop on Automated Decision Making for Active Cyber Defense
影响因子:
--
作者:
[Alexander Kedrowitsch;D. Yao;G. Wang;K. Cameron]
通讯作者:
Alexander Kedrowitsch;D. Yao;G. Wang;K. Cameron
DOI:
10.1109/tdsc.2015.2411264
发表时间:
2016-07
期刊:
IEEE Transactions on Dependable and Secure Computing
影响因子:
7.3
作者:
[Hussain M. J. Almohri;L. Watson;D. Yao;Xinming Ou]
通讯作者:
Hussain M. J. Almohri;L. Watson;D. Yao;Xinming Ou
DOI:
10.1109/tcbb.2017.2773083
发表时间:
2019-01-01
期刊:
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
影响因子:
4.5
作者:
[Chen,Minghan, Amos,Brandon D., Kakoti,Gisella]
通讯作者:
Kakoti,Gisella
DOI:
10.1016/j.ress.2019.106618
发表时间:
2020-01-01
期刊:
RELIABILITY ENGINEERING & SYSTEM SAFETY
影响因子:
8.1
作者:
[Fang, Guanqi, Pan, Rong, Hong, Yili]
通讯作者:
Hong, Yili
DOI:
10.1145/3149393.3149402
发表时间:
2017-11
期刊:
Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems
影响因子:
--
作者:
[A. Paul;S. Tuecke;Ryan Chard;A. Butt;K. Chard;Ian T Foster]
通讯作者:
A. Paul;S. Tuecke;Ryan Chard;A. Butt;K. Chard;Ian T Foster
共 27 条
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批准号:1939076
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2019
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负责人:Kirk Cameron
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依托单位:
CSR: Large: VarSys: Managing Variability in High-Performance Computing Systems
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批准号:1838271
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项目类别:Continuing Grant
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资助金额:$118.98万
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CSR: Medium: Collaborative Research: GridPac: A Resource Management System for Energy and Performance Optimization on Computational Grids
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财政年份:2009
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SGER: Metrics And Methodologies for High Performance System Energy Benchmarking
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批准号:0848670
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资助金额:$20.0万
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CRI: MISER: A High-performance, Power-aware Cluster
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CSR-AES: Thermal Conductors: Runtime software support for proactive heat management in advanced execution systems
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批准号:0720750
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项目类别:Continuing Grant
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资助金额:$35.0万
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财政年份:2007
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负责人:Kirk Cameron
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High-Performance Power-aware Computing Workshop (HPPAC)
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批准号:0715533
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资助金额:$0.5万
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依托单位:
Collaborative Research: CSR(SMA): Scalable performance modeling and analysis framework
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资助金额:$2.5万
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财政年份:2005
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依托单位:
CAREER: High-Performance, Power-Aware, Distributed Computing
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批准号:0614705
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财政年份:2005
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依托单位:
CAREER: High-Performance, Power-Aware, Distributed Computing
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批准号:0347683
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项目类别:Continuing Grant
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资助金额:$40.39万
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财政年份:2004
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负责人:Kirk Cameron
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依托单位:
国内基金
海外基金
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