GreenMalloc: Allocator Optimisation for Industrial Workloads
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866914526770757632 |
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| author | Dakhama, Aidan Langdon, W. B. Menendez, Hector D. Even-Mendoza, Karine |
| author_facet | Dakhama, Aidan Langdon, W. B. Menendez, Hector D. Even-Mendoza, Karine |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_21405 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GreenMalloc: Allocator Optimisation for Industrial Workloads Dakhama, Aidan Langdon, W. B. Menendez, Hector D. Even-Mendoza, Karine Software Engineering Hardware Architecture Performance 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. |
| title | GreenMalloc: Allocator Optimisation for Industrial Workloads |
| topic | Software Engineering Hardware Architecture Performance |
| url | https://arxiv.org/abs/2510.21405 |