EXECUTION FLOW CONTROL:SIMPLIFIED DESIGN OF PARALLEL APPLICATIONS

摘要：

Google’s MapReduce enables program automatic parallelization by partitioning input data and replicating functions, but it does not directly support complex parallel modes like pipeline. However, many parallel modes are helpful to optimize solution of parallel computing problem. In this paper, we propose EFC (Execution Flow Control), a novel programming model and related implementation. It supports an execution-flow control interface which makes the model more compatible with different parallel modes. It allows user to modify execution flow as needed. The new model enables simple compact design of most parallel modes.

关键词： programming model cloud computing execution-flow control parallel process

作者: Jing Jin Xin Li Shanzhi Chen Yan Wang

作者单位: State Lab of Switching & Networking Technology,Beijing University of Posts and Telecommunications, B China Academy of Telecommunication Technology, Beijing, China Xinyang Power Supply Company of Henan Electronic Power Company, Xinyang Henan, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

会议地点: 北京

会议语种:英文

页码: 274-279

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）