GreenMalloc: Allocator Optimisation for Industrial Workloads
October 24, 2025 Β· Declared Dead Β· π 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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