Scalasca  (Scalasca 2.3.1, revision 14987)
Scalable Performance Analysis of Large-Scale Applications
Bibliography
[1]

Daniel Becker, Rolf Rabenseifner, Felix Wolf, and John Linford. Scalable timestamp synchronization for event traces of message-passing applications. Parallel Computing, 35(12):595–607, December 2009.

[2]

David Böhme, Markus Geimer, Felix Wolf, and Lukas Arnold. Identifying the root causes of wait states in large-scale parallel applications. In Proc. of the 39th International Conference on Parallel Processing (ICPP), San Diego, CA, USA, pages 90–100. IEEE Computer Society, September 2010.

[3]

David Böhme, Bronis R. de Supinski, Markus Geimer, Martin Schulz, and Felix Wolf. Scalable critical-path based performance analysis. In Proc. of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Shanghai, China, pages 1330–1340. IEEE Computer Society, May 2012.

[4]

Cube User Guide. Available as part of the Cube installation or online at http://www.scalasca.org/software/cube-4.x/documentation.html.

[5]

Dominic Eschweiler, Michael Wagner, Markus Geimer, Andreas Knüpfer, Wolfgang E. Nagel, and Felix Wolf. Open Trace Format 2 - The next generation of scalable trace formats and support libraries. In Applications, Tools and Techniques on the Road to Exascale Computing (Proc. of Intl. Conference on Parallel Computing, ParCo, Aug./Sept. 2011, Ghent, Belgium), volume 22 of Advances in Parallel Computing, pages 481–490. IOS Press, May 2012.

[6]

Markus Geimer, Felix Wolf, Brian J. N. Wylie, and Bernd Mohr. A scalable tool architecture for diagnosing wait states in massively parallel applications. Parallel Computing, 35(7):375–388, July 2009.

[7]

Andreas Knüpfer, Holger Brunst, Jens Doleschal, Matthias Jurenz, Matthias Lieber, Holger Mickler, Matthias S. Müller, and Wolfgang E. Nagel. The Vampir performance analysis toolset. In Tools for High Performance Computing (Proc. of the 2nd Parallel Tools Workshop, July 2008, Stuttgart, Germany), pages 139–155. Springer, July 2008.

[8]

Andreas Knüpfer, Christian Rössel, Dieter an Mey, Scott Biersdorff, Kai Diethelm, Dominic Eschweiler, Markus Geimer, Michael Gerndt, Daniel Lorenz, Allen Malony, Wolfgang E. Nagel, Yury Oleynik, Peter Philippen, Pavel Saviankou, Dirk Schmidl, Sameer Shende, Ronny Tschüter, Michael Wagner, Bert Wesarg, and Felix Wolf. Score-P – A joint performance measurement run-time infrastructure for Periscope, Scalasca, TAU, and Vampir. In Tools for High Performance Computing 2011 (Proc. of 5th Parallel Tools Workshop, Sept. 2011, Dresden, Germany), pages 79–91. Springer, September 2012.

[9]

Message Passing Interface Forum. MPI: A message-passing interface standard, Version 3.0. http://www.mpi-forum.org, September 2012.

[10]

NASA Advanced Supercomputing Division. NAS Parallel Benchmarks website. https://www.nas.nasa.gov/publications/npb.html.

[11]

OpenMP Architecture Review Board. OpenMP application program interface, Version 4.0. http://www.openmp.org, July 2013.

[12]

Scalasca 2.x series documentation web page. http://www.scalasca.org/software/scalasca-2.x/documentation.html.

[13]

Score-P User Manual. Available as part of the Score-P installation or online at http://www.score-p.org.

[14]

Sameer S. Shende and Allen D. Malony. The TAU parallel performance system. International Journal of High Performance Computing Applications, 20(2):287–311, May 2006.


Scalasca    Copyright © 1998–2016 Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre
Copyright © 2009–2015 German Research School for Simulation Sciences GmbH, Laboratory for Parallel Programming