GoKawiilStudy Highlights Malloc() Bottlenecks in Multithreaded Programs
An analysis traces the evolution of memory allocation from stack-based schemes to dynamic linked-list heaps, garbage collection, and jemalloc's 2006 introduction of 'arenas' for NUMA and multi-core memory management. It notes that standard malloc() implementations serialize concurrent allocation requests, causing multithreaded applications to slow down rather than scale as processor counts increase.
GoKawiil's interpretation of the reporting above, not reported fact.
As multicore systems become standard, allocator contention becomes a hidden performance tax that undermines the benefits of parallelism. Techniques like skbuff recycling and PF_RING's zero-copy packet handling show how avoiding frequent malloc calls can meaningfully boost throughput in high-performance networking applications.
- Standard malloc() serializes memory requests, limiting scalability on multiprocessor systems.
- Techniques like skbuff recycling and PF_RING avoid repeated allocation for packet processing, boosting performance.
- Memory allocator design has evolved from stack-based methods to jemalloc's arena concept for NUMA-aware allocation.
Source: egbert.net, 2026-09-15
Published there as: “Comparison of Malloc() Algorithms”
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