| Visual analysis of inter-process communication for large-scale parallel computing. | |
| | |
MedLine Citation:
|
PMID: 19834181 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
|
In serial computation, program profiling is often helpful for optimization of key sections of code. When moving to parallel computation, not only does the code execution need to be considered but also communication between the different processes which can induce delays that are detrimental to performance. As the number of processes increases, so does the impact of the communication delays on performance. For large-scale parallel applications, it is critical to understand how the communication impacts performance in order to make the code more efficient. There are several tools available for visualizing program execution and communications on parallel systems. These tools generally provide either views which statistically summarize the entire program execution or process-centric views. However, process-centric visualizations do not scale well as the number of processes gets very large. In particular, the most common representation of parallel processes is a Gantt char t with a row for each process. As the number of processes increases, these charts can become difficult to work with and can even exceed screen resolution. We propose a new visualization approach that affords more scalability and then demonstrate it on systems running with up to 16,384 processes. |
| | |
Authors:
|
Chris Muelder; Francois Gygi; Kwan-Liu Ma |
Publication Detail:
|
Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
|
Title: IEEE transactions on visualization and computer graphics Volume: 15 ISSN: 1077-2626 ISO Abbreviation: IEEE Trans Vis Comput Graph Publication Date: 2009 Nov-Dec |
Date Detail:
|
Created Date: 2009-10-16 Completed Date: 2010-01-13 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9891704 Medline TA: IEEE Trans Vis Comput Graph Country: United States |
Other Details:
|
Languages: eng Pagination: 1129-36 Citation Subset: - |
Affiliation:
|
University of California, Davis, CA, USA. muelder@cs.ucdavis.edu |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Protovis: a graphical toolkit for visualization.
Next Document: Participatory visualization with Wordle.