Content

• Research Interests
  
• Current Projects
  
• Teachings
  
• All Publications

 

Dipl. Inf. Andreas Simbürger

University of Passau

Department of Informatics and Mathematics

Programming Group

Parcel address:	Universität Passau, Innstraße 33, 94032 Passau
Letter address:	Universität Passau, 94030 Passau

Phone:	+49(0)851/509-3074
Fax:	+49(0)851/509-3092
E-mail:	andreas.simbuerger@uni-passau.de

Research Interests:

• Loop parallelization in the polyhedron model and in more general models
• Just-in-time compilation and profile guided optimization

Current Projects:

• PolyJIT, applying the polyhedron model just-in-time.
  • pprof, empirical study on the potential of polyhedral compilation.
• LooPo, a polyhedral loop parallelizer.
• Polly Polyhedral optimization framework for LLVM
• GRAPHITE Polyhedral optimization framework for GCC

Teaching (in German):

• 5100UE Grundlagen der Informatik (2014)
• jRobots - Informatik Sommercamp 2014
• 5616UE Schleifenparallelisierung (2014)
• 5100UE Grundlagen der Informatik (2013/14)
• jRobots - Informatik Sommercamp 2013
• 5614UE Datenabhängigkeitsanalyse (2013)
• 5100UE Grundlagen der Informatik (2012/13)
• jRobots - Informatik Sommercamp 2012
• 5616UE Schleifenparallelisierung (2012)
• 5100UE Grundlagen der Informatik (2011/12)
• jRobots - Informatik Sommercamp 2011
• 5100UE Grundlagen der Informatik (2011)
• Details: Stud.IP

All Publications:

• Andreas Simbürger, Sven Apel, Armin Größlinger, and Christian Lengauer. PolyJIT: Polyhedral Optimization Just in Time. International Journal of Parallel Programming (IJPP), 47(5–6):874–906, December 2019.
   
• Andreas Simbürger, Florian Sattler, Armin Größlinger, and Christian Lengauer. BenchBuild: A Large-Scale Empirical-Research Toolkit. Technical Report MIP-1602, Faculty of Computer Science and Mathematics, University of Passau, June 2016. 6 pages.
   
• Andreas Simbürger and Armin Größlinger. On the Variety of Static Control Parts in Real-World Programs: from Affine via Multi-dimensional to Polynomial and Just-in-Time. In Sanjay Rajopadhye and Sven Verdoolaege, editors, Proceedings of the 4th International Workshop on Polyhedral Compilation Techniques (IMPACT), Vienna, Austria, January 2014. 10 pages.
   
• Andreas Simbürger, Sven Apel, Armin Größlinger, and Christian Lengauer. The Potential of Polyhedral Optimization: An Empirical Study. In Proceedings of the IEEE/ACM International Conference on Automated Software Engineering (ASE), pages 508–518. IEEE Computer Society, November 2013. Acceptance rate (full papers): 16% (51 / 317).
   
• Andreas Simbürger, Sven Apel, Armin Größlinger, and Christian Lengauer. The Potential of Polyhedral Optimization. Technical Report MIP-1301, Department of Informatics and Mathematics, University of Passau, March 2013. 10 pages.
   
• Tobias Grosser, Hongbin Zheng, Ragesh Aloor, Andreas Simbürger, Armin Größlinger, and Louis-Noël Pouchet. Polly – Polyhedral Optimization in LLVM. In Christophe Alias and Cédric Bastoul, editors, Proceedings of the First International Workshop on Polyhedral Compilation Techniques (IMPACT). INRIA Grenoble Rhône-Alpes, April 2011. 6 pages.