{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/parallel-and-in-process-compilation-of","title":"Parallel and in-process compilation of individuals for genetic programming on GPU","arxiv_id":"1705.07492","date":"2017-05-21","proceeding":null,"authors":["Hakan Ayral","Songül Albayrak"],"abstract":"Three approaches to implement genetic programming on GPU hardware are\ncompilation, interpretation and direct generation of machine code. The compiled\napproach is known to have a prohibitive overhead compared to other two. This\npaper investigates methods to accelerate compilation of individuals for genetic\nprogramming on GPU hardware. We apply in-process compilation to minimize the\ncompilation overhead at each generation; and we investigate ways to parallelize\nin-process compilation. In-process compilation doesn't lend itself to trivial\nparallelization with threads; we propose a multiprocess parallelization using\nmemory sharing and operating systems interprocess communication primitives.\nWith parallelized compilation we achieve further reductions on compilation\noverhead. Another contribution of this work is the code framework we built in\nC# for the experiments. The framework makes it possible to build arbitrary\ngrammatical genetic programming experiments that run on GPU with minimal extra\ncoding effort, and is available as open source.","url_abs":"http://arxiv.org/abs/1705.07492v1","url_pdf":"http://arxiv.org/pdf/1705.07492v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"parallel-and-in-process-compilation-of","repo_url":"https://github.com/hayral/Parallel-and-in-process-compilation-of-individuals-for-genetic-programming-on-GPU","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}