GreenMalloc: Allocator Optimisation for Industrial Workloads

October 24, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Aidan Dakhama, W. B. Langdon, Hector D. Menendez, Karine Even-Mendoza arXiv ID 2510.21405 Category cs.SE: Software Engineering Cross-listed cs.AR, cs.PF Citations 0 Venue arXiv.org Last Checked 5 months ago
Abstract
We present GreenMalloc, a multi objective search-based framework for automatically configuring memory allocators. Our approach uses NSGA II and rand_malloc as a lightweight proxy benchmarking tool. We efficiently explore allocator parameters from execution traces and transfer the best configurations to gem5, a large system simulator, in a case study on two allocators: the GNU C/CPP compiler's glibc malloc and Google's TCMalloc. Across diverse workloads, our empirical results show up to 4.1 percantage reduction in average heap usage without loss of runtime efficiency; indeed, we get a 0.25 percantage reduction.
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