Title :
Visualizing distributed data structures
Author :
Srinivas, Suresh
Author_Institution :
Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA
Abstract :
A new programming style for large-scale parallel programs centered around distributed data structures has emerged. The current parallel program visualization tools were intended for the old style and do not deal with distributed data structures. We show, with several examples of visualizations and animations developed for large scale pC++ programs, that visualizing and animating distributed data structures is an important part of debugging and performance tuning for the new style parallel programs. Our approach is based on a new methodology for recording execution behavior that uses I/O abstractions and compile time source analysis and instrumentation
Keywords :
computer animation; data structures; data visualisation; parallel programming; program debugging; I/O abstractions; animations; compile time source analysis; debugging; distributed data structures visualisation; execution behavior; large scale pC++ programs; large-scale parallel programs; performance tuning; programming style; Animation; Color; Data structures; Data visualization; Debugging; Instruments; Large-scale systems; Message passing; Parallel algorithms; Parallel machines;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1995. Proceedings. Frontiers '95., Fifth Symposium on the
Conference_Location :
McLean, VA
Print_ISBN :
0-8186-6965-9
DOI :
10.1109/FMPC.1995.380477