Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardware
Author:
Affiliation:
1. University of Exeter, Exeter, United Kingdom
2. University of Exeter, Exeter, Upper Volta
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2464576.2464660
Reference8 articles.
1. High performance cellular level agent-based simulation with FLAME for the GPU
2. MCA-Based Animation of Fracturing Heterogeneous Objects
3. Cellular Automata Modeling of Physical Systems
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1. GPU Acceleration of Complex Simulations: A Use Case on the Conway’s Game of Life;2023 31st Telecommunications Forum (TELFOR);2023-11-21
2. Performance analysis and comparison of cellular automata GPU implementations;Cluster Computing;2017-04-07
3. Fast Knowledge Discovery in Time Series with GPGPU on Genetic Programming;Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation;2015-07-11
4. An investigation of the efficient implementation of cellular automata on multi-core CPU and GPU hardware;Journal of Parallel and Distributed Computing;2015-03
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