A communication characterisation of splash-2 and parsec N Barrow-Williams, C Fensch, S Moore 2009 IEEE international symposium on workload characterization (IISWC), 86-97, 2009 | 258 | 2009 |
Generating performance portable code using rewrite rules: from high-level functional expressions to high-performance OpenCL code M Steuwer, C Fensch, S Lindley, C Dubach ACM SIGPLAN Notices 50 (9), 205-217, 2015 | 193 | 2015 |
PARTANS: An Autotuning Framework for Stencil Computation on Multi-GPU Systems T LUTZ, C FENSCH, M COLE ACM Transactions on Architecture and Code Optimization 9 (4), 2013 | 102 | 2013 |
An OS-based alternative to full hardware coherence on tiled CMPs C Fensch, M Cintra 2008 IEEE 14th International Symposium on High Performance Computer …, 2008 | 86 | 2008 |
MaSiF: Machine Learning Guided Auto-tuning of Parallel Skeletons A Collins, C Fensch, H Leather, M Cole 20th International Conference on High Performance Computing (HiPC 2013), 186-195, 2013 | 35 | 2013 |
LIRA: Adaptive contention-aware thread placement for parallel runtime systems A Collins, T Harris, M Cole, C Fensch Proceedings of the 5th International Workshop on Runtime and Operating …, 2015 | 28 | 2015 |
Proximity coherence for chip multiprocessors N Barrow-Williams, C Fensch, S Moore Proceedings of the 19th international conference on Parallel architectures …, 2010 | 25 | 2010 |
MaxPair: enhance OpenCL concurrent kernel execution by weighted maximum matching Y Wen, MFP O'Boyle, C Fensch Proceedings of the 11th workshop on general purpose GPUs, 40-49, 2018 | 19 | 2018 |
Code generation at the proxy: An infrastructure-based approach to ubiquitous mobile code D Chandra, C Fensch, W Hong, L Wang, E Yardimci, M Franz ECOOP Workshop on Object-Orientation and Operating Systems, 2002 | 19 | 2002 |
Designing a physical locality aware coherence protocol for chip-multiprocessors C Fensch, N Barrow-Williams, RD Mullins, S Moore IEEE Transactions on Computers 62 (5), 914-928, 2012 | 17 | 2012 |
Helium: a transparent inter-kernel optimizer for OpenCL T Lutz, C Fensch, M Cole Proceedings of the 8th Workshop on General Purpose Processing using GPUs, 70-80, 2015 | 16 | 2015 |
Auto-tuning parallel skeletons A Collins, C Fensch, H Leather Parallel Processing Letters 22 (02), 1240005, 2012 | 15 | 2012 |
Class splitting as a method to reduce migration overhead of mobile agents S Kern, P Braun, C Fensch, W Rossak On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE …, 2004 | 13 | 2004 |
Class splitting as a method to reduce network traffic in a mobile agent system C Fensch Master's thesis, Friedrich-Schiller-Universität Jena, Institut für Informatik, 2001 | 10 | 2001 |
Enforcing deadlines for skeleton-based parallel programming P Metzger, M Cole, C Fensch, M Aldinucci, E Bini 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2020 | 7 | 2020 |
Patterns and rewrite rules for systematic code generation (from high-level functional patterns to high-performance opencl code) M Steuwer, C Fensch, C Dubach arXiv preprint arXiv:1502.02389, 2015 | 6 | 2015 |
A lightweight approach to GPU resilience M Baird, C Fensch, SB Scholz, A Šinkarovs Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 International …, 2019 | 5 | 2019 |
NUMA optimizations for algorithmic skeletons P Metzger, M Cole, C Fensch Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018 | 5 | 2018 |
Azure: A virtual machine for improving execution of sequential programs on throughput-oriented explicitly parallel processors E Yardımcı, C Fensch, N Dalton, M Franz 11th International Workshop on Compilers for Parallel Computers, 2004 | 2 | 2004 |
Device Hopping: Transparent Mid-Kernel Runtime Switching for Heterogeneous Systems P Metzger, V Seeker, C Fensch, M Cole ACM Transactions on Architecture and Code Optimization (TACO) 18 (4), 1-25, 2021 | 1 | 2021 |