Dr.-Ing. Dirk Tetzlaff

Tetzlaff, D. (2014). A Framework for Machine Learning based Mapping of Concurrent Applications to Parallel Architectures. Technische Universität Berlin, Fakultät IV - Elektrotechnik und Informatik

Tetzlaff, D. and Glesner, S. (2013). Static Prediction of Loop Iteration Counts Using Machine Learning to Enable Hot Spot Optimizations. Proceedings of the 39th Euromicro Conference on Software Engineering and Advanced Applications (SEAA'13). IEEE Computer Society.

Tetzlaff, D. and Glesner, S. (2013). Intelligent Prediction of Execution Times. Proceedings of the Second International Conference on Informatics & Applications (ICIA2013). IEEE Computer Society, 234–239.

Tetzlaff, D. and Glesner, S. (2012). Making MPI Intelligent. Software Engineering (Workshops) 2012. Köllen Druck+Verlag GmbH, Bonn, 75 - 88.

Tetzlaff, D. and Glesner, S. (2012). Static Prediction of Recursion Frequency Using Machine Learning to Enable Hot Spot Optimizations. Proceedings of the 10th IEEE Symposium on Embedded Systems for Real-time Multimedia (ESTIMedia), 42-51.

Tetzlaff, D. and Glesner, S. (2010). Intelligent Task Mapping using Machine Learning. Proceedings of the 2010 International Conference on Computational Intelligence and Software Engineering (CiSE 2010). IEEE Computer Society.

Tetzlaff, D. (2008). Erweitertes Hyperblock-Scheduling für VLIW-Prozessoren. GI Informatiktage 2008

Tetzlaff, D. (2008). Erweitertes Hyperblock-Scheduling für VLIW-Prozessoren. GI Informatiktage 2008. Köllen Druck+Verlag GmbH, 111-114.

Tetzlaff, D. (2007). Erweitertes Hyperblock-Scheduling für VLIW-Prozessoren.