EPIC: An energy-efficient, high-performance GPGPU computing research infrastructure M Själander, M Jahre, G Tufte, N Reissmann arXiv preprint arXiv:1912.05848, 2019 | 197 | 2019 |
Towards fine-grained dynamic tuning of HPC applications on modern multi-core architectures M Sourouri, EB Raknes, N Reissmann, J Langguth, D Hackenberg, ... Proceedings of the International Conference for High Performance Computing …, 2017 | 23 | 2017 |
Efficient control flow restructuring for GPUs N Reissmann, TL Falch, BA Bjørnseth, H Bahmann, JC Meyer, M Jahre 2016 International Conference on High Performance Computing & Simulation …, 2016 | 17 | 2016 |
Perfect reconstructability of control flow from demand dependence graphs H Bahmann, N Reissmann, M Jahre, JC Meyer ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-25, 2015 | 17 | 2015 |
A study of energy and locality effects using space-filling curves N Reissman, JC Meyer, M Jahre 2014 IEEE International Parallel & Distributed Processing Symposium …, 2014 | 14 | 2014 |
RVSDG: An intermediate representation for optimizing compilers N Reissmann, JC Meyer, H Bahmann, M Själander ACM Transactions on Embedded Computing Systems (TECS) 19 (6), 1-28, 2020 | 11 | 2020 |
Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing F Catthoor, T Basten, N Zompakis, M Geilen, PG Kjeldsberg, ... System-Scenario-based Design Principles and Applications, 113-126, 2020 | 5 | 2020 |
Diagnosing highly-parallel openmp programs with aggregated grain graphs N Reissmann, A Muddukrishna Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018 | 5 | 2018 |
Towards Aggregated Grain Graphs N Reissmann, M Jahre, A Muddukrishna Proceedings of the Fourth International Workshop on Visual Performance …, 2017 | 4 | 2017 |
Saving Energy Using the READEX Methodology M Kumaraswamy, A Chowdhury, A Gocht, J Zapletal, K Diethelm, L Riha, ... Tools for High Performance Computing 2018/2019: Proceedings of the 12th and …, 2021 | 3 | 2021 |
Principles, Techniques, and Tools for Explicit and Automatic Parallelization N Reissmann NTNU, 2019 | 2 | 2019 |
Utilizing the Value State Dependence Graph for Haskell N Reißmann | 2 | 2012 |
R-HLS: An IR for Dynamic High-Level Synthesis and Memory Disambiguation based on Regions and State Edges D Metz, N Reissmann, M Själander arXiv preprint arXiv:2408.08712, 2024 | | 2024 |
Load Balancing Domain Decompositions of a Lattice-Boltzmann Proxy Application JC Meyer, J Ragunathan, J Valstad, N Reissmann 11th Nordic Workshop on Multi-Core Computing (MCC), 2018 | | 2018 |
RVSDG: An Intermediate Representation for the Multi-Core Era N Reissmann, JC Meyer, M Sjalander 11h Nordic Workshop on Multi-Core Computing (MCC), 2018 | | 2018 |