- author = "William B. Langdon and Justyna Petke and David Clark",
- title = "gem5/Z3/gcc/Clang/Redis glibc Heap Fitness Landscapes",
- booktitle = "Evostar 2025 Late breaking abstracts",
- year = "2025",
- editor = "A. M. Mora",
- address = "Trieste",
- month = "23-25 " # apr,
- organisation = "Species",
- keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, computer program tuning, parameter search landscape, memory reduction, GNU glibc heap management",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2025_evostarLBA.pdf",
- abstract = "We adapt ``The gem5 C++ glibc Heap Fitness Landscape'' W.B. Langdon and B.R. Bruce GI@ICSE 2025, to use Valgrind Massif on 1300000 line C++ gem5, on 600000 LOC C++ theorem prover Z3 and benchmarks from SMT-COMP 2024. Showing the memory landscape is far smoother than is commonly assumed and that Magpie and CMA-ES can tune GNU malloc giving 2.4 megabytes reductions in peak RAM use without coding changes. Similar results are given on the GCC and Clang LLVM compilers and 150000 LOC C Redis key-value database.",
-
notes = "Extends
\cite{langdon:2025:GI}
https://www.evostar.org/2025/late-breaking-abstracts/",
