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Bind threads to ensure execution on a specific NUMA node.\n\nThis patch introduces NUMA memory replication, currently only utilized for the NNUE weights. Along with it comes all machinery required to identify NUMA nodes and bind threads to specific processors/nodes. It also comes with small changes to Thread and ThreadPool to allow easier execution of custom functions on the designated thread. Old thread binding (WinProcGroup) machinery is removed because it's incompatible with this patch. Small changes to unrelated parts of the code were made to ensure correctness, like some classes being made unmovable, raw pointers replaced with unique_ptr. etc.\n\nWindows 7 and Windows 10 is partially supported. Windows 11 is fully supported. Linux is fully supported, with explicit exclusion of Android. No additional dependencies.\n\n-----------------\n\nA new UCI option `NumaPolicy` is introduced. It can take the following values:\n```\nsystem - gathers NUMA node information from the system (lscpu or windows api), for each threads binds it to a single NUMA node\nnone - assumes there is 1 NUMA node, never binds threads\nauto - this is the default value, depends on the number of set threads and NUMA nodes, will only enable binding on multinode systems and when the number of threads reaches a threshold (dependent on node size and count)\n[[custom]] -\n  // ':'-separated numa nodes\n  // ','-separated cpu indices\n  // supports \"first-last\" range syntax for cpu indices,\n  for example '0-15,32-47:16-31,48-63'\n```\n\nSetting `NumaPolicy` forces recreation of the threads in the ThreadPool, which in turn forces the recreation of the TT.\n\nThe threads are distributed among NUMA nodes in a round-robin fashion based on fill percentage (i.e. it will strive to fill all NUMA nodes evenly). Threads are bound to NUMA nodes, not specific processors, because that's our only requirement and the OS can schedule them better.\n\nSpecial care is made that maximum memory usage on systems that do not require memory replication stays as previously, that is, unnecessary copies are avoided.\n\nOn linux the process' processor affinity is respected. This means that if you for example use taskset to restrict Stockfish to a single NUMA node then the `system` and `auto` settings will only see a single NUMA node (more precisely, the processors included in the current affinity mask) and act accordingly.\n\n-----------------\n\nWe can't ensure that a memory allocation takes place on a given NUMA node without using libnuma on linux, or using appropriate custom allocators on windows (https://learn.microsoft.com/en-us/windows/win32/memory/allocating-memory-from-a-numa-node), so to avoid complications the current implementation relies on first-touch policy. Due to this we also rely on the memory allocator to give us a new chunk of untouched memory from the system. This appears to work reliably on linux, but results may vary.\n\nMacOS is not supported, because AFAIK it's not affected, and implementation would be problematic anyway.\n\nWindows is supported since Windows 7 (https://learn.microsoft.com/en-us/windows/win32/api/processtopologyapi/nf-processtopologyapi-setthreadgroupaffinity). Until Windows 11/Server 2022 NUMA nodes are split such that they cannot span processor groups. This is because before Windows 11/Server 2022 it's not possible to set thread affinity spanning processor groups. The splitting is done manually in some cases (required after Windows 10 Build 20348). Since Windows 11/Server 2022 we can set affinites spanning processor group so this splitting is not done, so the behaviour is pretty much like on linux.\n\nLinux is supported, **without** libnuma requirement. `lscpu` is expected.\n\n-----------------\n\nPassed 60+1 @ 256t 16000MB hash: https://tests.stockfishchess.org/tests/view/6654e443a86388d5e27db0d8\n```\nLLR: 2.95 (-2.94,2.94) <0.00,10.00>\nTotal: 278 W: 110 L: 29 D: 139\nPtnml(0-2): 0, 1, 56, 82, 0\n```\n\nPassed SMP STC: https://tests.stockfishchess.org/tests/view/6654fc74a86388d5e27db1cd\n```\nLLR: 2.95 (-2.94,2.94) <-1.75,0.25>\nTotal: 67152 W: 17354 L: 17177 D: 32621\nPtnml(0-2): 64, 7428, 18408, 7619, 57\n```\n\nPassed STC: https://tests.stockfishchess.org/tests/view/6654fb27a86388d5e27db15c\n```\nLLR: 2.94 (-2.94,2.94) <-1.75,0.25>\nTotal: 131648 W: 34155 L: 34045 D: 63448\nPtnml(0-2): 426, 13878, 37096, 14008, 416\n```\n\nfixes #5253\ncloses https://github.com/official-stockfish/Stockfish/pull/5285\n\nNo functional change","shortMessageHtmlLink":"Improve performance on NUMA systems"}},{"before":"61acbfc7d310ed6044ba4fc5ef91a6c382d1c9a6","after":null,"ref":"refs/tags/stockfish-dev-20240523-61acbfc7","pushedAt":"2024-05-26T18:33:19.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"github-actions[bot]","name":null,"path":"/apps/github-actions","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/15368?s=80&v=4"}},{"before":"61acbfc7d310ed6044ba4fc5ef91a6c382d1c9a6","after":"8e1f273c7d10e2b49c07cdc16b09a3d4574acf4c","ref":"refs/heads/master","pushedAt":"2024-05-26T18:32:56.000Z","pushType":"push","commitsCount":3,"pusher":{"login":"Disservin","name":"disservin","path":"/Disservin","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/45608332?s=80&v=4"},"commit":{"message":"Remove rootDelta branch\n\nThis makes rootDelta logic easier to understand, recalculating the value\nwhere it belongs so removes an unnecessary branch.\n\nPassed non-regression STC:\nhttps://tests.stockfishchess.org/tests/view/664fc147a86388d5e27d8d8e\nLLR: 2.94 (-2.94,2.94) <-1.75,0.25>\nTotal: 206016 W: 53120 L: 53089 D: 99807\nPtnml(0-2): 591, 20928, 59888, 21061, 540\n\ncloses https://github.com/official-stockfish/Stockfish/pull/5289\n\nNo functional change","shortMessageHtmlLink":"Remove rootDelta branch"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAEYBjlWAA","startCursor":null,"endCursor":null}},"title":"Activity · official-stockfish/Stockfish"}