The gem5 C++ glibc Heap Fitness Landscape

Using the language independent genetic improvement tool MAGPIE (Machine Automated General Performance Improvement via Evolution of software) and logarithmic sampling, we measure the parameter fitness landscape when optimising the GNU glibc heap management of a million line C++ application, gem5. The malloc_info landscape is far smoother than is commonly assumed and savings of 11 % with no loss of runtime speed are readily obtained by both Magpie and CMA-ES.

Authors

Bobby R. Bruce (ORCID: https://orcid.org/0000-0001-6070-9722)
William B. Langdon

Institutions

University College London (GB)
University of California, Davis (US)

Publication Details

Published: 2025-04-27
DOI: https://doi.org/10.1109/gi66624.2025.00010
Citations: 1
Primary Topic: VLSI and Analog Circuit Testing
Type: article
Field-Weighted Citation Impact: 2.27

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article

The gem5 C++ glibc Heap Fitness Landscape

Bobby R. Bruce, William B. Langdon

Apr 27, 2025

1 citations

VLSI and Analog Circuit Testing

2.27

article

The gem5 C++ glibc Heap Fitness Landscape

Bobby R. Bruce, William B. Langdon

April 27, 2025article en

1 citations

Abstract

University College London (GB), University of California, Davis (US)

Openalex Percentile: Top 15%

VLSI and Analog Circuit Testing

2.27

DOI Source OpenAlex

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The gem5 C++ glibc Heap Fitness Landscape — Bobby R. Bruce, William B. Langdon · (2025) | TGRS Research Map | TGRS