| 6.4 Optimization of ML on Modern Multicore Systems H Kotthaus, P Marwedel Also of interest, 285, 2022 | | 2022 |
| 7.1 Efficient Memory Footprint Reduction H Kotthaus, P Marwedel Also of interest, 306, 2022 | | 2022 |
| A JVM-based Compiler Strategy for the R Language H Kotthaus, S Plazar, P Marwedel Technical report for Collaborative Research Center SFB 876 Providing …, 2012 | 3 | 2012 |
| Automatic model selection for high-dimensional survival analysis M Lang, H Kotthaus, P Marwedel, C Weihs, J Rahnenführer, B Bischl Journal of Statistical Computation and Simulation 85 (1), 62-76, 2015 | 55 | 2015 |
| Bottleneck Analysis for Machine Learning R Programs H Kotthaus Technical report for Collaborative Research Center SFB 876 Providing …, 2013 | | 2013 |
| Cache-bewusste Code-Positionierung zur Reduktion der maximalen Programmlaufzeit (WCET) H Kotthaus | | 2011 |
| Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently? H Kotthaus, L Schönberger, A Lang, JJ Chen, P Marwedel Proceedings of the 22nd International Workshop on Software and Compilers for …, 2019 | 7 | 2019 |
| Dynamic page sharing optimization for the R language H Kotthaus, I Korb, M Engel, P Marwedel Proceedings of the 10th ACM Symposium on Dynamic languages, 79-90, 2014 | 18 | 2014 |
| Explainability-aware one point attack for point cloud neural networks H Tan, H Kotthaus Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
| Faster model-based optimization through resource-aware scheduling strategies J Richter, H Kotthaus, B Bischl, P Marwedel, J Rahnenführer, M Lang Learning and Intelligent Optimization: 10th International Conference, LION …, 2016 | 20 | 2016 |
| Memory Awareness H Kotthaus, P Marwedel, M Yayla, S Buschjäger, H Amrouch, KH Chen Machine Learning under Resource Constraints: Fundamentals, 305-358, 2022 | | 2022 |
| Memory Optimization for the R H Kotthaus Technical report for Collaborative Research Center SFB 876 Providing …, 2014 | | 2014 |
| Methods for efficient resource utilization in statistical machine learning algorithms H Kotthaus | 8 | 2018 |
| Methods for Efficient Resource Utilization in Statistical Machine Learning Algorithms HV Kotthaus | | |
| mmapcopy: efficient memory footprint reduction using application knowledge I Korb, H Kotthaus, P Marwedel Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1832-1837, 2016 | 4 | 2016 |
| NextWii: Multimodale Interaktion mit Computerspielen: Endbericht der Projektgruppe 539 J Dittrich, P Gerloff, J Hölscher, H Kotthaus, M Mülle, A Nimtz, O Opalinski, ... Universitätsbibliothek Dortmund, 2010 | | 2010 |
| Optimization Potential for Runtimes of R Programs H Kotthaus Technical report for Collaborative Research Center SFB 876 Providing …, 2011 | | 2011 |
| Performance analysis for parallel R programs: towards efficient resource utilization H Kotthaus, I Korb, P Marwedel Abstract Booklet of the International R User Conference (UseR, 66, 2015 | 6 | 2015 |
| Performance Analysis for R: Towards a Faster R Interpreter H Kotthaus, I Korb, M Künne, P Marwedel Abstract Booklet of the International R User Conference, 2014 | 3 | 2014 |
| R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems H Kotthaus, A Lang, O Neugebauer, P Marwedel The R User Conference, useR! 2017 July 4-7 2017 Brussels, Belgium, 74, 2017 | 2 | 2017 |