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2010 – 2019
- 2018
[j4]Thomas L. Falch
, Anne C. Elster:
ImageCL: Language and source-to-source compiler for performance portability, load balancing, and scalability prediction on heterogeneous systems. Concurr. Comput. Pract. Exp. 30(9) (2018)- 2017
- [j3]Thomas L. Falch, Anne C. Elster:
Machine learning-based auto-tuning for enhanced performance portability of OpenCL applications. Concurr. Comput. Pract. Exp. 29(8) (2017) - 2016
- [c4]Nico Reissmann, Thomas L. Falch, Benjamin A. Bjørnseth, Helge Bahmann, Jan Christian Meyer, Magnus Jahre:
Efficient control flow restructuring for GPUs. HPCS 2016: 48-57 - [c3]Thomas L. Falch, Anne C. Elster:
ImageCL: An image processing language for performance portability on heterogeneous systems. HPCS 2016: 562-569 - [i2]Thomas L. Falch, Anne C. Elster:
ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems. CoRR abs/1605.06399 (2016) - 2015
- [j2]Erik Smistad, Thomas L. Falch, Mohammadmehdi Bozorgi, Anne C. Elster, Frank Lindseth:
Medical image segmentation on GPUs - A comprehensive review. Medical Image Anal. 20(1): 1-18 (2015) - [c2]Thomas L. Falch, Anne C. Elster:
Machine Learning Based Auto-Tuning for Enhanced OpenCL Performance Portability. IPDPS Workshops 2015: 1231-1240 - [i1]Thomas L. Falch, Anne C. Elster:
Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability. CoRR abs/1506.00842 (2015) - 2014
- [c1]Thomas L. Falch, Anne C. Elster:
Register Caching for Stencil Computations on GPUs. SYNASC 2014: 479-486 - 2013
- [j1]Thomas L. Falch, Jostein B. Fløystad, Dag Werner Breiby, Anne C. Elster:
GPU-Accelerated Visualization of Scattered Point Data. IEEE Access 1: 564-576 (2013)
Coauthor Index
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