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Bastian Hagedorn
Bastian Hagedorn
Verified email at nvidia.com
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Year
High performance stencil code generation with lift
B Hagedorn, L Stoltzfus, M Steuwer, S Gorlatch, C Dubach
Proceedings of the 2018 International Symposium on Code Generation and …, 2018
1302018
Swizzle inventor: data movement synthesis for GPU kernels
PM Phothilimthana, AS Elliott, A Wang, A Jangda, B Hagedorn, H Barthels, ...
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
542019
Achieving high-performance the functional way: a functional pearl on expressing high-performance optimizations as rewrite strategies
B Hagedorn, J Lenfers, T Koehler, X Qin, S Gorlatch, M Steuwer
Proceedings of the ACM on Programming Languages 4 (ICFP), 1-29, 2020
502020
Fireiron: A data-movement-aware scheduling language for gpus
B Hagedorn, AS Elliott, H Barthels, R Bodik, V Grover
Proceedings of the ACM International Conference on Parallel Architectures …, 2020
292020
Towards efficient multicast communication in software-defined networks
T Humernbrum, B Hagedorn, S Gorlatch
2016 IEEE 36th International Conference on Distributed Computing Systems …, 2016
262016
A language for describing optimization strategies
B Hagedorn, J Lenfers, T Koehler, S Gorlatch, M Steuwer
arXiv preprint arXiv:2002.02268, 2020
142020
Graphene: An ir for optimized tensor computations on gpus
B Hagedorn, B Fan, H Chen, C Cecka, M Garland, V Grover
Proceedings of the 28th ACM International Conference on Architectural …, 2023
122023
Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift
L Stoltzfus, B Hagedorn, M Steuwer, S Gorlatch, C Dubach
ACM Transactions on Architecture and Code Optimization (TACO) 16 (4), 1-25, 2019
112019
Fireiron: A scheduling language for high-performance linear algebra on gpus
B Hagedorn, AS Elliott, H Barthels, R Bodik, V Grover
arXiv preprint arXiv:2003.06324, 2020
82020
Achieving High Performance the Functional Way: Expressing High-Performance Optimizations as Rewrite Strategies
B Hagedorn, J Lenfers, T Koehler, X Qin, S Gorlatch, M Steuwer
Communications of the ACM 66 (3), 89-97, 2023
32023
High-level hardware feature extraction for GPU performance prediction of stencils
T Remmelg, B Hagedorn, L Li, M Steuwer, S Gorlatch, C Dubach
Proceedings of the 13th Annual Workshop on General Purpose Processing Using …, 2020
32020
An Extension of a Functional Intermediate Language for Parallelizing Stencil Computations and Its Optimizing GPU Implementation Using OpenCL
B Hagedorn
Master’s thesis. University of Muenster. http://www. lift-project. org …, 2016
32016
A transformation-based approach to developing high-performance GPU programs
B Hagedorn, M Steuwer, S Gorlatch
International Andrei Ershov Memorial Conference on Perspectives of System …, 2017
22017
Programming gpus with C++ 14 and just-in-time compilation
M Haidl, B Hagedorn, S Gorlatch
Parallel Computing: On the Road to Exascale 27, 247, 2016
22016
Implementing the wipo architecture
F Stahl, A Godde, B Hagedorn, B Köpcke, M Rehberger, G Vossen
E-Commerce and Web Technologies: 15th International Conference, EC-Web 2014 …, 2014
22014
High quality information delivery: demonstrating the web in your pocket for cineast tourists
F Stahl, A Godde, B Hagedorn, B Köpcke, M Rehberger, G Vossen
Gesellschaft für Informatik eV, 2015
2015
Challenges and Advantages of SSN-based Emergency Response Systems
B Hagedorn
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Articles 1–17