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Abstract Visualization for Effective Debugging of Parallel Programs Based on Multi-threading
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 Title & Authors
Abstract Visualization for Effective Debugging of Parallel Programs Based on Multi-threading
Kim, Young-Joo;
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It is important for effective visualization to summarize not only a large amount of debugging information but also the mental models of abstract ideas. This paper presents an abstract visualization tool which provides effective visualization of thread structure and race information for OpenMP programs with critical sections and nested parallelism, using a partial order execution graph which captures logical concurrency among threads. This tool is supported by an on-the-fly trace-filtering technique to reduce space complexity of visualization information, and a graph abstraction technique to reduce visual complexity of nested parallelism and critical sections in the filtered trace. The graph abstraction of partial-order relation and race information is effective for understanding program execution and detecting to eliminate races, because the user can examine control flow of program and locations of races in a structural fashion.
OpenMP;Parallel Programs;Race condition;Visualization;Abstraction;
 Cited by
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