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Over the years, traditional tracing garbage collectors have accumulated assumptions that may not hold in new language designs. For instance, we usually assume that run-time objects do not hold addressable sub-parts and have a size of at least one pointer. These fail in systems striving to eliminate pointers and represent data in a dense, serialized form, such as the Gibbon compiler. We propose a new memory management strategy for language runtimes with mostly serialized heaps. It uses a hybrid, generational collector, where regions are bump-allocated into the young generation and objects are bump-allocated within those regions. Minor collections copy data into larger regions in the old generation, compacting it further. The old generation uses region-level reference counting. The resulting system maintains high performance for data traversal programs, while significantly improving performance on other kinds of allocation patterns.
Koparkar et al. (Thu,) studied this question.