@inproceedings{b5231233b9be4fb7ad80b2e8894e54d0,
title = "Grammatical genetic programming: Application in automatic code parallelization",
abstract = "This novel algorithm uses standard Genetic Programming (GP) to evolve a grammar. It is applied to the automatic parallelization of sequential software. Alternative parallel schedules are generated for a computational resource constrained illustrative example demonstrating the power of the methodology.",
keywords = "Artificial Intelligence, Automatic Parallelization, Evolutionary Computation, Genetic Programming, Grammatical Genetic Programming, Parallel Compilers, Parallel Computing",
author = "Daniel Howard and Collins, {J. J.}",
year = "2012",
doi = "10.1007/978-3-642-32645-5_28",
language = "English",
isbn = "9783642326448",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "217--223",
booktitle = "Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Proceedings",
note = "6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012 ; Conference date: 23-08-2012 Through 25-08-2012",
}