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