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Julian Groß
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2020 – today
- 2021
- [c7]Marcel Köster, Julian Groß, Antonio Krüger:
MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction. PDCAT 2021: 383-395 - 2020
- [j1]Marcel Köster, Julian Groß, Antonio Krüger:
Massively Parallel Rule-Based Interpreter Execution on GPUs Using Thread Compaction. Int. J. Parallel Program. 48(4): 675-691 (2020) - [c6]Marcel Köster, Julian Groß, Antonio Krüger:
High-Performance Simulations on GPUs Using Adaptive Time Steps. ICA3PP (1) 2020: 369-385 - [c5]Julian Groß, Marcel Köster, Antonio Krüger:
CLAWS: Computational Load Balancing for Accelerated Neighbor Processing on GPUs using Warp Scheduling. CGVC 2020: 53-61
2010 – 2019
- 2019
- [c4]Marcel Köster, Julian Groß, Antonio Krüger:
FANG: Fast and Efficient Successor-State Generation for Heuristic Optimization on GPUs. ICA3PP (1) 2019: 223-241 - [c3]Marcel Köster, Julian Groß, Antonio Krüger:
Parallel Tracking and Reconstruction of States in Heuristic Optimization Systems on GPUs. PDCAT 2019: 25-30 - [c2]Julian Groß, Marcel Köster, Antonio Krüger:
Fast and Efficient Nearest Neighbor Search for Particle Simulations. CGVC 2019: 55-63 - [c1]André Antakli, Torsten Spieldenner, Marcel Köster, Julian Groß, Erik Herrmann, Dmitri Rubinstein, Daniel Spieldenner, Ingo Zinnikus:
Optimized Coordination and Simulation for Industrial Human Robot Collaborations. WEBIST (Revised Selected Papers) 2019: 44-68
Coauthor Index
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