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<p>A visualization tool that provides an aggregate view of execution through a graph of events called the causality graph, which is suitable for systems with hundreds or thousands of processors, coarse-grained parallelism, and for a language that makes communication and synchronization explicit, is discussed. The methods for computing causality graphs and stepping through an execution with causality graphs are described. The properties of the abstraction algorithms and super nodes, the subgraphs in causality graphs, are also discussed.</p>
parallel programming; computer aided instruction; concurrency teaching tool; CAI; visualization tool; causality graph; coarse-grained parallelism; communication; synchronization; abstraction algorithms; super nodes; computer aided instruction; computer science education; parallel programming; software tools

D. Malki, D. Zernick and M. Snir, "Using Visualization Tools to Understand Concurrency," in IEEE Software, vol. 9, no. , pp. 87-92, 1992.
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