Abstract
The use of visualization in parallel program development is manifold. It is applied from data and control flow over debugging, performance analysis and performance prediction until data distribution on distributed memory architectures. Most of these visualizations do not care about the physical topology of the underlying hardware although this can be of importance in the fields of performance analysis or error debugging.
We have developed a class library called MUCH (MUltiprocessor Class Hierarchy), which helps a user to model different multiprocessor architectures. These so derived multiprocessors can be used for visualization of multiprocessor topologies with different number of nodes and for the presentation of various aspects in different areas of parallelism in cooperation with other tools. In this paper we describe the structure of MUCH as well as its implementation in C++. We further present a few examples of cooperation with tools in the areas of performance analysis, trace driven simulation for error debugging, and data distribution for distributed memory machines.
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© 1996 Springer-Verlag Berlin Heidelberg
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Kranzlmüller, D., Koppler, R., Grabner, S., Holzner, C., Volkert, J. (1996). Parallel program visualization with MUCH. In: Böszörményi, L. (eds) Parallel Computation. ACPC 1996. Lecture Notes in Computer Science, vol 1127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61695-0_13
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DOI: https://doi.org/10.1007/3-540-61695-0_13
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