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GreenMalloc: Allocator Optimisation for Industrial Workloads
Sun 16 Nov 2025 14:30 - 14:50 at Grand Hall 4 - SSBSE Challenge
We present GreenMalloc, a multi-objective search-based framework for automatically configuring memory allocators. Using 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/C++ compiler’s glibc malloc and Google’s TCMalloc. Across diverse workloads, our empirical results show up to 4.1% reduction in average heap usage without loss of runtime efficiency, indeed we get a 0.25% reduction.
Sun 16 NovDisplayed time zone: Seoul change
Sun 16 Nov
Displayed time zone: Seoul change
14:00 - 15:30 | |||
14:00 10mTalk | Challenge Overview SSBSE Challenge | ||
14:10 20mTalk | GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization SSBSE Challenge Jingzhi Gong University of Leeds, Yixin Bian Harbin Normal University, Luis de la Cal Universidad Politécnica de Madrid, Giovanni Pinna University of Trieste, Anisha Uteem King's College London, David Williams University College London, Mar Zamorano López University College London, Karine Even-Mendoza King’s College London, William Langdon University College London, Hector Menendez King’s College London, Federica Sarro University College London Pre-print | ||
14:30 20mTalk | GreenMalloc: Allocator Optimisation for Industrial Workloads SSBSE Challenge Aidan Dakhama King's College London, William Langdon University College London, Hector Menendez King’s College London, Karine Even-Mendoza King’s College London Pre-print | ||
14:50 20mTalk | Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL SSBSE Challenge Ayse Irmak Ercevik King's College London, Aidan Dakhama King's College London, Melane Navaratnarajah King's College London, Yazhuo Cao King's College London, Leo Fernandes Federal Institute of Alagoas (IFAL) Pre-print File Attached | ||
15:10 20mTalk | HotCat: Green and Effective Feature Selection for HotFix Bug Taxonomy SSBSE Challenge Luis de la Cal Universidad Politécnica de Madrid, Yazhuo Cao King's College London, Ayse Irmak Ercevik King's College London, Giovanni Pinna University of Trieste, Lukas Twist King's College London, David Williams University College London, Karine Even-Mendoza King’s College London, William Langdon University College London, Hector Menendez King’s College London, Federica Sarro University College London Pre-print | ||