Parallel program performance analysis plays an important role in exploring parallelism and improving efficiency of parallel programs. To ease the performance analysis for remote programs, this paper presents a remote parallel program performance analysis tool, RPPA (Remote Parallel Performance Analyzer), which is based on dynamic code instrumentation. A hierarchical structure is adopted by RPPA which consists of 3 parts: client, server and computing nodes. Performance analysis tasks are submitted to the server via the graphical user interface of the client, and then actual analysis processes are started on the computing nodes by the server to collect performance data for visualization in the client. The performance information gained by RPPA is comprehensive and intuitive, hence it is quite helpful for users to analyze performance, locate bottlenecks of programs, and optimize programs.
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