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Optimize mremap() for large folios
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#IC8PQW
内核需求
王炼
Opened this issue
2025-05-19 11:38
Patch series "Optimize mremap() for large folios", v4. Currently move_ptes() iterates through ptes one by one. If the underlying folio mapped by the ptes is large, we can process those ptes in a batch using folio_pte_batch(), thus clearing and setting the PTEs in one go. For arm64 specifically, this results in a 16x reduction in the number of ptep_get() calls (since on a contig block, ptep_get() on arm64 will iterate through all 16 entries to collect a/d bits), and we also elide extra TLBIs through get_and_clear_full_ptes, replacing ptep_get_and_clear. Mapping 1M of memory with 64K folios, memsetting it, remapping it to src + 1M, and munmapping it 10,000 times, the average execution time reduces from 1.9 to 1.2 seconds, giving a 37% performance optimization, on Apple M3 (arm64). No regression is observed for small folios.
Patch series "Optimize mremap() for large folios", v4. Currently move_ptes() iterates through ptes one by one. If the underlying folio mapped by the ptes is large, we can process those ptes in a batch using folio_pte_batch(), thus clearing and setting the PTEs in one go. For arm64 specifically, this results in a 16x reduction in the number of ptep_get() calls (since on a contig block, ptep_get() on arm64 will iterate through all 16 entries to collect a/d bits), and we also elide extra TLBIs through get_and_clear_full_ptes, replacing ptep_get_and_clear. Mapping 1M of memory with 64K folios, memsetting it, remapping it to src + 1M, and munmapping it 10,000 times, the average execution time reduces from 1.9 to 1.2 seconds, giving a 37% performance optimization, on Apple M3 (arm64). No regression is observed for small folios.
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