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White Paper Exercise

White Paper Exercise. Objective: Develop specific joint projects in areas of mutual interest and based on existing relationships, which could result in sustained longer-term collaborations Results of discussions at SC ’ 11 Initially focused on the “ Extreme-Scale Software ” thrust

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White Paper Exercise

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  1. White Paper Exercise • Objective: Develop specific joint projects in areas of mutual interest and based on existing relationships, which could result in sustained longer-term collaborations • Results of discussions at SC’11 • Initially focused on the “Extreme-Scale Software” thrust • Some key questions to be answered (2-4 pages) • 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

  2. Proposed White Papers • Dynamic Data Management and Energy Efficient Techniques in Support of High Throughput Computing Applications • 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) • I/O Performance Engineering of the Global Regional Assimilation and Prediction System (GRAPES) Code on Supercomputers using the ADIOS Framework • 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 • 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 • 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 Data-Intensive Computing • 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) • HPC: Xuebin Chi, UCSD China US Software Workshop Series - Workshop 2 5 – 7 March, San Diego, California, USA

  3. Breakout - Objectives • Define technical scope • Define specific next steps • Define mechanisms

  4. Breakouts - Groups • Programming (Abani Patra, Yutong Lu, Xiaobin Feng) • Supercomputing Middleware for Predictive Scientific and Engineering Simulations and Analytics • 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) • Data (Miron Livny, Xuebin Chi) • Dynamic Data Management and Energy Efficient Techniques in Support of High Throughput Computing Applications • 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 • Team: Guangwen Yang Tsinghua University (China); Manish Parashar, Rutgers University (USA) ; Depei Qian, Beihang University (China); • HPC Modeling, Algorithms, Applications (Padma Raghavan, Yunquan Zhang) • Research on Migration of Wild Birds and Correlation on Climate Change based on Data-Intensive Computing • 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) • I/O Performance Engineering of the Global Regional Assimilation and Prediction System (GRAPES) Code on Supercomputers using the ADIOS Framework • 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

  5. Share white papers • Web pages • DropBox • Post title and abstract – open the process • Support • 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

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