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TU Berlin

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Dr.-Ing. Lars Alvincz (formerly Gesellensetter)



Lars Alvincz (2009). Breaking the Curse of Static Analyses: Making Compilers Intelligent via Machine Learning. 3rd Workshop on Statistical and Machine learning approaches to Architectures and compilation (SMART'09)

Lars Alvincz (2009). A General Framework for Intelligent Speculative Compiler Optimization or: How to Face the Memory Gap. Invited Talk at the Institute of Computer Languages, Vienna University of Technology, Austria


Lars Gesellensetter (2008). Making Compilers Intelligent or: Facing The Memory Gap. 3rd CoSy Community Gathering (CCG3)

Lars Gesellensetter (2008). Scalable Analyses via Machine Learning: Predicting Memory Dependencies Precisely. Dagstuhl-Seminar 08161 "Scalable Program Analysis"


Lars Gesellensetter (2007). A Framework for Intelligent Speculative Optimizations. Invited Talk at the Compiler and Architecture Design Group (CArD), University of Edinburgh


Lars Gesellensetter and Sabine Glesner (2006). Only the Best Can Make It: Optimal Component Selection. Proceedings of the First International Workshop on Formal Foundations of Embedded Software and Component-based Software Architectures (FESCA 2006), 100–121.

Lars Gesellensetter (2006). Construction of Optimal Component Systems by Term Rewriting. Invited Talk at the Distributed Systems Research Group of Prof. Plasil, Charles University Prague

Elke Salecker and Lars Gesellensetter (2006). Verification of compiler optimizations. 2nd CoSy Community Gathering (CCG2)


Jan Olaf Blech and Lars Gesellensetter (2005). Verifikation von Softwaresystemen. FoMSESS 2005

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