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@INCOLLECTION{wylie:2007:transnationalaccessreport, author = {Wylie, Brian J. N.}, editor = {Alberigo, Paola and Erbacci, Giovanni and Garofalo, Francesca and Monfardini, Silvia}, month = apr, title = {Scalable performance analysis of large-scale parallel applications on {MareNostrum}}, booktitle = {Science and Supercomputing in Europe}, series = {HPC-Europa Transnational Access Report}, year = {2007}, pages = {453-461}, publisher = {CINECA Consorzio Interuniversitario}, address = {Casalecchio di Reno (Bologna), Italy}, note = {Also available as SSCinEurope 2007 CD}, isbn = {978-88-86037-21-1}, url = {http://www.hpc-europa.eu/files/SSCinEurope/CD2007/contents/087-com-science-Whylie.pdf}, abstract = {The {\sf scalasca} toolset was readily ported to Mare Nostrum and its measurement and automated analysis scalability verified to 1024 processes with the {\sc smg2000} benchmark and {\sc wrf} numerical weather prediction application. It was subsequently compared with the local Paraver/MPItrace tools, albeit with difficulty due to their quite different modes of operation, and found to be complementary: {\sf scalasca} is able to rapidly generate automated analysis summaries from the largest configurations, which can be used to direct much more extensive Paraver trace analyses to particularly significant performance issues. A previously unexpected problem with exiting MPI communication collectives was identified and codified in a new {\sf scalasca} ``{\sl N x N Completion}'' property, allowing its significance to be investigated and instances to be examined with Paraver.} }
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