White Paper Exercise
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Objective: Develop specific joint projects in areas of mutual interest and based
on existing relationships, which could result in sustained longer-term
collaborations
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Results of discussions at SC’11
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Initially focused on the “Extreme-Scale Software” thrust
Some key questions to be answered (2-4 pages)
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What is the focus of the research?
What is the importance of the research area to particular Scientific Applications and/or Computer
Science Research?
What the objectives of the specific collaboration?
What research activities (people, labs, projects) in China and US form the basis of the project?
What are the mechanisms to required enable sustained collaborative research?
What is the anticipated impact of the proposed collaboration and its benefits to the
bilateral/global communities?
What is the importance and/or uniqueness of the China-US collaboration for this project?
• Why can’t the research be done only by one country?
• What is the gain from working together?
• What is unique?
– For example, Eliminate redundancy; Costs reduced by each agency
China US Software Workshop Series - Workshop 2
5 – 7 March, San Diego, California, USA
Proposed White Papers
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Dynamic Data Management and Energy Efficient Techniques in Support of High Throughput
Computing Applications
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I/O Performance Engineering of the Global Regional Assimilation and Prediction System
(GRAPES) Code on Supercomputers using the ADIOS Framework
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Team: Zeyao Mo, Institute of Applied Physics and Computational Mathematics (China); Abani K. Patra SUNY at Buffalo
(USA); Manish Parashar, Rutgers University (USA); William Gropp, University of Illinois at Urbana-Champaign (USA)
Addressing Data Challenges in Simulation-based Science
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Team: Zhiyan Jin, Chinese Meteorological Administration (China); Scott Klasky, Oak Ridge National Laboratory (USA);
Xiaosong Ma, North Carolina State University (USA); Manish Parashar, Rutgers University (USA); Wei Xue, Tsinghua
University (China)
Supercomputing Middleware for Predictive Scientific and Engineering Simulations and Analytics
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Team: Miron Livny, University of Wisconsin-Madison (USA); Depei Qian, Beihang University (China); Alain Roy,
University of Wisconsin-Madison (USA); Zhongzhi Luan, Beihang University (China); Hailong Yang, Beihang University
(China)
Team: Guangwen Yang Tsinghua University (China); Manish Parashar, Rutgers University (USA) ; Depei Qian, Beihang
University (China);
Research on Migration of Wild Birds and Correlation on Climate Change based on DataIntensive Computing
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Team: Baoping Yan, Chinese Academy of Sciences (China); Ze Luo Chinese Academy of Sciences (China); Fumin
Lei, Chinese Academy of Sciences (China); John Y. Takekawa, USGS Western Ecological Research Center (USA);
Diann Prosser USGS Patuxent Wildlife Research Center (USA); Xiangming Xiao, University of Oklahoma (USA)
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HPC: Xuebin Chi, UCSD
China US Software Workshop Series - Workshop 2
5 – 7 March, San Diego, California, USA
Breakout - Objectives
• Define technical scope
• Define specific next steps
• Define mechanisms
Breakouts - Groups
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Programming (Abani Patra, Yutong Lu, Xiaobin Feng)
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Supercomputing Middleware for Predictive Scientific and Engineering Simulations and Analytics
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Data (Miron Livny, Xuebin Chi)
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Dynamic Data Management and Energy Efficient Techniques in Support of High Throughput Computing
Applications
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Team: Miron Livny, University of Wisconsin-Madison (USA); Depei Qian, Beihang University (China); Alain Roy,
University of Wisconsin-Madison (USA); Zhongzhi Luan, Beihang University (China); Hailong Yang, Beihang
University (China)
Addressing Data Challenges in Simulation-based Science
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Team: Zeyao Mo, Institute of Applied Physics and Computational Mathematics (China); Abani K. Patra SUNY at
Buffalo (USA); Manish Parashar, Rutgers University (USA); William Gropp, University of Illinois at UrbanaChampaign (USA)
Team: Guangwen Yang Tsinghua University (China); Manish Parashar, Rutgers University (USA) ; Depei Qian,
Beihang University (China);
HPC Modeling, Algorithms, Applications (Padma Raghavan, Yunquan Zhang)
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Research on Migration of Wild Birds and Correlation on Climate Change based on Data-Intensive Computing
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I/O Performance Engineering of the Global Regional Assimilation and Prediction System (GRAPES) Code on
Supercomputers using the ADIOS Framework
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Team: Baoping Yan, Chinese Academy of Sciences (China); Ze Luo Chinese Academy of Sciences (China); Fumin
Lei, Chinese Academy of Sciences (China); John Y. Takekawa, USGS Western Ecological Research Center (USA);
Diann Prosser USGS Patuxent Wildlife Research Center (USA); Xiangming Xiao, University of Oklahoma (USA)
Team: Zhiyan Jin, Chinese Meteorological Administration (China); Scott Klasky, Oak Ridge National Laboratory
(USA); Xiaosong Ma, North Carolina State University (USA); Manish Parashar, Rutgers University (USA); Wei Xue,
Tsinghua University (China)
HPC: Xuebin Chi, UCSD
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Share white papers
– Web pages
– DropBox
– Post title and abstract – open the process
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Support
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China side – travel funding is not an issue
Funding for doing research components of a large US project in China is available
IP/Governance
Open source
Record of best practices
Centralized development/dissemination/distributed support
2 Phases – initial exploratory phase + sustained collaboration
Quick funding mechanism
Jose – use remaining funds for travel
Matchmaking resource (dedicated) – RCN, SAVI
Exchange of prototype software
Student exchange – mechanisms within NSF and NSFC
Sabbatical supplement program – NSF planning/exploratory grant
Demonstration/annual event – help catalyze collaborations