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Nico Reissmann
Nico Reissmann
Verifisert e-postadresse på idi.ntnu.no - Startside
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EPIC: An energy-efficient, high-performance GPGPU computing research infrastructure
M Själander, M Jahre, G Tufte, N Reissmann
arXiv preprint arXiv:1912.05848, 2019
1972019
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
232017
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
172016
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
172015
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
142014
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
112020
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
52020
Diagnosing highly-parallel openmp programs with aggregated grain graphs
N Reissmann, A Muddukrishna
Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018
52018
Towards Aggregated Grain Graphs
N Reissmann, M Jahre, A Muddukrishna
Proceedings of the Fourth International Workshop on Visual Performance …, 2017
42017
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
32021
Principles, Techniques, and Tools for Explicit and Automatic Parallelization
N Reissmann
NTNU, 2019
22019
Utilizing the Value State Dependence Graph for Haskell
N Reißmann
22012
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
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Artikler 1–15