Improving a Parallel C++ Intel SSE SIMD Linear Genetic Programming Interpreter

Created by W.Langdon from gp-bibliography.bib Revision:1.8729

@InProceedings{langdon:2026:GI,

• author = "William B. Langdon and Carol Hanna",
• title = "Improving a Parallel {C++ Intel SSE SIMD} Linear Genetic Programming Interpreter",
• booktitle = "15th International Workshop on Genetic Improvement @ICSE 2026",
• year = "2026",
• editor = "Aymeric Blot and Oliver Krauss",
• address = "Rio de Janeiro",
• month = "12 " # apr,
• keywords = "genetic algorithms, genetic programming, genetic improvement, linear genetic programming, SBSE, computer program tuning, MMX, transplantation, testing interpreters, test output distribution, non-functional GI, dogfooding",
• size = "8 pages",
• abstract = "We use evolution to speedup the new Single Instruction Multiple Data (SIMD) parallel interpreter for Peter Nordin's linear genetic programming GPengine. MAGPIE (Machine Automated General Performance Improvement via Evolution of software) is provided with existing hand optimised code, its revision history and the Intel 256 bit SSE documentation as XML. Linux mprotect sandboxes whilst performance is given by perf instruction count. In a matter of hours local search automatically sped up 128 lines of manually written parallel C++ SIMD code for the Intel Advanced Vector Extensions (AVX) by 2 percent.",
• notes = "See also \cite{langdon:2025:eval_avx512} Used in \cite{Langdon:2026:raLGP}

  GI @ ICSE 2026

  ",

}

Genetic Programming entries for William B Langdon Carol Hanna

Citations