Abstract
Parallel programs usually have complex execution behavior which can be studied by visualizing their execution. The run-time visualization captures the dynamic behavior of the program which is otherwise hidden by postmortem visualization. The visualization effort for hierarchical systems such as Cedar requires parallelism to be detected at cluster and processor level simultaneously. We examine the real-time visualization methodology for shared memory multiprocessors. Two applications, visualizing the concurrent processes and matrix-related computations, are used to highlight the importance of visualization in understanding parallel program execution on shared memory multiprocessors.
Center for Supercomputing Research and Development, University of Illinois at Urbana-Champaign, 305 Talbot Laboratory, 104 South Wright St., Urbana, IL, 61801-2932. This work was supported by the National Science Foundation under Grant No NSF MIP-88-07775 and NASA Ames Research Center under Grant No. NASA NCC 2-559
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Sharma, S. (1990). Real-time visualization of concurrent processes. In: Burkhart, H. (eds) CONPAR 90 — VAPP IV. VAPP CONPAR 1990 1990. Lecture Notes in Computer Science, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-53065-7_160
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DOI: https://doi.org/10.1007/3-540-53065-7_160
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