PD Dr. Ronald Veldema



Organisation


Technische Fakultät
Lehrstuhl für Informatik 2 (Programmiersysteme)


Publications (Download BibTeX)

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Blaß, T., Philippsen, M., & Veldema, R. (2017). Efficient Inspected Critical Sections in data-parallel GPU codes. In Rauchwerger, Lawrence (Eds.), Proceedings of the 30th International Workshop on Languages and Compilers for Parallel Computing (LCPC 2017) (pp. -). College Station, TX, US: Berlin: Springer-Verlag Berlin Heidelberg.
Schönwetter, D., Veldema, R., & Fey, D. (2015). FREACSIM - A Framework for Creating and Simulating Real-Time Capable Network on Chip Systems and Applications. In Theodoropoulos, Georgios ; Tan Soon Huat, Gary ; Szabo, Claudia (Eds.), Proceedings of the 8th EAI International Conference on Simulation Tools and Techniques (SIMUTOOLS'16). Athens, Greece, GR: European Union Digital Library: ACM.
Brinkers, D., Philippsen, M., & Veldema, R. (2015). Simultaneous inspection: Hiding the overhead of inspector-executor style dynamic parallelization. In James Brodman, Peng Tu (Eds.), Languages and Compilers for Parallel Computing, 27th International Workshop, LCPC 2014 (pp. 101-115). Hillsboro, OR, USA, US: Berlin Heidelberg: Springer-verlag.
Kempf, S., Veldema, R., & Philippsen, M. (2014). Combining Lock Inference with Lock-Based Software Transactional Memory. In Călin Cașcaval, Pablo Montesinos (Eds.), Languages and Compilers for Parallel Computing, 26th International Workshop, LCPC 2013 (pp. 325-341). San Jose, California, USA, US: Berlin Heidelberg: Springer.
Kempf, S., Veldema, R., & Philippsen, M. (2013). Compiler-Guided Identification of Critical Sections in Parallel Code. In Ranjit Jhala, Koen De Bosschere (Eds.), Compiler Construction, 22nd International Conference, CC 2013 (pp. 204-223). Rome, Italy, IT: Berlin Heidelberg: Springer-verlag.
Veldema, R., & Philippsen, M. (2013). Language and Runtime Techniques for better Model Checking Efficiency of Parallel Programs. In Călin Cașcaval, Pablo Montesinos (Eds.), Proceedings of the 26th International Workshop on Languages and Compilers for Parallel Computing (LCPC 2013) (pp. Poster). San Jose, California, USA, US: Berlin Heidelberg: Springer.
Wolf, C., Dotzler, G.H., Veldema, R., & Philippsen, M. (2013). Object Support for OpenMP-style Programming of GPU Clusters in Java. In Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA 2013) (pp. 1405-1410). Barcelona, Spain, ES.
Kempf, S., Veldema, R., & Philippsen, M. (2013). Reduktion von False-Sharing in Software-Transactional-Memory. In Parallel-Algorithmen und Rechnerstrukturen (PARS 2013) (pp. 70-79). Erlangen, Germany, DE.
Kempf, D., Veldema, R., & Philippsen, M. (2013). Source Code Transformations to Increase the Performance of Software Transactional Memory. In Sanjay Rajopadhye, Michelle Mills Strout (Eds.), Languages and Compilers for Parallel Computing, 24th International Workshop, LCPC 2011 (pp. Poster). Fort Collins, Colorado, USA, US: Berlin Heidelberg: Springer.
Dotzler, G.H., Veldema, R., & Philippsen, M. (2012). Annotation Support for Generic Patches. In Proceedings of the Third International Workshop on Recommendation Systems for Software Engineering (RSSE 12) (pp. 6-10). Zurich, Switzerland, CH: IEEE.

Last updated on 2016-06-06 at 05:06