ImageCL: Language and source-to-source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems - Thomas L. Falch; Anne C. Elster (Concurr. Comput. Pract. Exp., 2018)

Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications - Thomas L. Falch; Anne C. Elster (Concurr. Comput. Pract. Exp., 2017)

Efficient control flow restructuring for GPUs - Nico Reissmann; Thomas L. Falch; Benjamin A. Bjørnseth; Helge Bahmann; Jan Christian Meyer; Magnus Jahre (International Conference on High Performance Computing & Simulation, HPCS 2016, Innsbruck, Austria, July 18-22, 2016, 2016)

ImageCL: An image processing language for performance portability on heterogeneous systems - Thomas L. Falch; Anne C. Elster (International Conference on High Performance Computing & Simulation, HPCS 2016, Innsbruck, Austria, July 18-22, 2016, 2016)

ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems - Thomas L. Falch; Anne C. Elster (CoRR, 2016)

Medical image segmentation on GPUs - A comprehensive review - Erik Smistad; Thomas L. Falch; Mohammadmehdi Bozorgi; Anne C. Elster; Frank Lindseth (Medical Image Anal., 2015)

Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability - Thomas L. Falch; Anne C. Elster (2015 IEEE International Parallel and Distributed Processing Symposium Workshop, IPDPS 2015, Hyderabad, India, May 25-29, 2015, 2015)

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability - Thomas L. Falch; Anne C. Elster (CoRR, 2015)

Register Caching for Stencil Computations on GPUs - Thomas L. Falch; Anne C. Elster (16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014, Timisoara, Romania, September 22-25, 2014, 2014)

GPU-Accelerated Visualization of Scattered Point Data - Thomas L. Falch; Jostein B. Fløystad; Dag Werner Breiby; Anne C. Elster (IEEE Access, 2013)