DocumentCode :
1169302
Title :
Using visualization tools to understand concurrency
Author :
Zernik, Dror ; Snir, Marc ; Malki, Dalia
Author_Institution :
Dept. of Electr. Eng., Technion, Haifa, Israel
Volume :
9
Issue :
3
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
87
Lastpage :
92
Abstract :
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.<>
Keywords :
computer aided instruction; computer science education; parallel programming; software tools; CAI; abstraction algorithms; causality graph; coarse-grained parallelism; communication; computer aided instruction; concurrency teaching tool; parallel programming; super nodes; synchronization; visualization tool; Artificial intelligence; Clocks; Concurrent computing; Displays; Instruments; Prototypes; Synchronization; Visualization; Workstations;
fLanguage :
English
Journal_Title :
Software, IEEE
Publisher :
ieee
ISSN :
0740-7459
Type :
jour
DOI :
10.1109/52.136185
Filename :
136185
Link To Document :
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