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| Contribution to a conference proceedings/Contribution to a book | FZJ-2019-03901 |
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2008
IEEE
Piscataway, NJ
ISBN: 978-0-7695-3472-5, 0769534724, 9780769534725, 9781424440917 (print)
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Please use a persistent id in citations: doi:10.1109/ISPDC.2008.40
Abstract: Computers perform different applications in different ways. To characterize an application performance into a machine, the usual method is a throughout execution of it. This work is a step into a synthetic probe able to characterize a master-worker application’s performance in a fraction of the time required to run it entirely. This is specially important for CPU-intensive scientific applications, who runs for very long, as it makes sense that it runs as efficiently (and fast) as possible. To know how, and for how long a master-worker application is going to run can guide the decision to use this machine or not. Our software probe takes into account only the performance-relevant parts of the application, discovering a program’s relevant phases. Running solely these significant phases is a powerful way to quickly characterize the application’s performance on a machine. It can help to select the best computing nodes in a grid or in a multi-cluster to run this application, and even quickly predict the total execution time for this application/data set in the machine analyzed. We also present ongoing work on a fully synthetic probe generated from programs’ phases.
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