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Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms.
- Published in:
- Journal of Supercomputing, 2019, v. 75, n. 3, p. 1163, doi. 10.1007/s11227-018-2330-9
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- Publication type:
- Article
HeDPM: load balancing of linear pipeline applications on heterogeneous systems.
- Published in:
- Journal of Supercomputing, 2017, v. 73, n. 9, p. 3738, doi. 10.1007/s11227-017-1971-4
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- Publication type:
- Article
Applying vectorization of diagonal sparse matrix to accelerate wind field calculation.
- Published in:
- Journal of Supercomputing, 2017, v. 73, n. 1, p. 240, doi. 10.1007/s11227-016-1696-9
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- Publication type:
- Article
Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms.
- Published in:
- Journal of Supercomputing, 2015, v. 71, n. 5, p. 1869, doi. 10.1007/s11227-014-1365-9
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- Publication type:
- Article
Enhancing multi-model forest fire spread prediction by exploiting multi-core parallelism.
- Published in:
- Journal of Supercomputing, 2014, v. 70, n. 2, p. 721, doi. 10.1007/s11227-014-1168-z
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- Publication type:
- Article
Dynamic performance tuning supported by program specification.
- Published in:
- Scientific Programming, 2002, v. 10, n. 1, p. 35, doi. 10.1155/2002/549617
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- Article
Applying probability theory for the quality assessment of a wildfire spread prediction framework based on genetic algorithms.
- Published in:
- 2014
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- Publication type:
- journal article
Applying Probability Theory for the Quality Assessment of a Wildfire Spread Prediction Framework Based on Genetic Algorithms.
- Published in:
- Scientific World Journal, 2013, p. 1, doi. 10.1155/2013/728414
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- Publication type:
- Article
Automatic Performance Analysis and Dynamic Tuning of Distributed Applications.
- Published in:
- Parallel Processing Letters, 2003, v. 13, n. 2, p. 169, doi. 10.1142/S0129626403001227
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- Publication type:
- Article
Time aware genetic algorithm for forest fire propagation prediction: exploiting multi-core platforms.
- Published in:
- Concurrency & Computation: Practice & Experience, 2017, v. 29, n. 9, p. n/a, doi. 10.1002/cpe.3837
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- Publication type:
- Article