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1 Started Nov 1999 by Kanoj Sarcar <kanoj@sgi.com 3 Started Nov 1999 by Kanoj Sarcar <kanoj@sgi.com>
2 4
3 ============= 5 =============
4 What is NUMA? 6 What is NUMA?
5 ============= 7 =============
6 8
7 This question can be answered from a couple of 9 This question can be answered from a couple of perspectives: the
8 hardware view and the Linux software view. 10 hardware view and the Linux software view.
9 11
10 From the hardware perspective, a NUMA system i 12 From the hardware perspective, a NUMA system is a computer platform that
11 comprises multiple components or assemblies ea 13 comprises multiple components or assemblies each of which may contain 0
12 or more CPUs, local memory, and/or IO buses. 14 or more CPUs, local memory, and/or IO buses. For brevity and to
13 disambiguate the hardware view of these physic 15 disambiguate the hardware view of these physical components/assemblies
14 from the software abstraction thereof, we'll c 16 from the software abstraction thereof, we'll call the components/assemblies
15 'cells' in this document. 17 'cells' in this document.
16 18
17 Each of the 'cells' may be viewed as an SMP [s 19 Each of the 'cells' may be viewed as an SMP [symmetric multi-processor] subset
18 of the system--although some components necess 20 of the system--although some components necessary for a stand-alone SMP system
19 may not be populated on any given cell. The 21 may not be populated on any given cell. The cells of the NUMA system are
20 connected together with some sort of system in 22 connected together with some sort of system interconnect--e.g., a crossbar or
21 point-to-point link are common types of NUMA s 23 point-to-point link are common types of NUMA system interconnects. Both of
22 these types of interconnects can be aggregated 24 these types of interconnects can be aggregated to create NUMA platforms with
23 cells at multiple distances from other cells. 25 cells at multiple distances from other cells.
24 26
25 For Linux, the NUMA platforms of interest are 27 For Linux, the NUMA platforms of interest are primarily what is known as Cache
26 Coherent NUMA or ccNUMA systems. With ccNUMA 28 Coherent NUMA or ccNUMA systems. With ccNUMA systems, all memory is visible
27 to and accessible from any CPU attached to any 29 to and accessible from any CPU attached to any cell and cache coherency
28 is handled in hardware by the processor caches 30 is handled in hardware by the processor caches and/or the system interconnect.
29 31
30 Memory access time and effective memory bandwi 32 Memory access time and effective memory bandwidth varies depending on how far
31 away the cell containing the CPU or IO bus mak 33 away the cell containing the CPU or IO bus making the memory access is from the
32 cell containing the target memory. For exampl 34 cell containing the target memory. For example, access to memory by CPUs
33 attached to the same cell will experience fast 35 attached to the same cell will experience faster access times and higher
34 bandwidths than accesses to memory on other, r 36 bandwidths than accesses to memory on other, remote cells. NUMA platforms
35 can have cells at multiple remote distances fr 37 can have cells at multiple remote distances from any given cell.
36 38
37 Platform vendors don't build NUMA systems just 39 Platform vendors don't build NUMA systems just to make software developers'
38 lives interesting. Rather, this architecture 40 lives interesting. Rather, this architecture is a means to provide scalable
39 memory bandwidth. However, to achieve scalabl 41 memory bandwidth. However, to achieve scalable memory bandwidth, system and
40 application software must arrange for a large 42 application software must arrange for a large majority of the memory references
41 [cache misses] to be to "local" memory--memory 43 [cache misses] to be to "local" memory--memory on the same cell, if any--or
42 to the closest cell with memory. 44 to the closest cell with memory.
43 45
44 This leads to the Linux software view of a NUM 46 This leads to the Linux software view of a NUMA system:
45 47
46 Linux divides the system's hardware resources 48 Linux divides the system's hardware resources into multiple software
47 abstractions called "nodes". Linux maps the n 49 abstractions called "nodes". Linux maps the nodes onto the physical cells
48 of the hardware platform, abstracting away som 50 of the hardware platform, abstracting away some of the details for some
49 architectures. As with physical cells, softwa 51 architectures. As with physical cells, software nodes may contain 0 or more
50 CPUs, memory and/or IO buses. And, again, mem 52 CPUs, memory and/or IO buses. And, again, memory accesses to memory on
51 "closer" nodes--nodes that map to closer cells 53 "closer" nodes--nodes that map to closer cells--will generally experience
52 faster access times and higher effective bandw 54 faster access times and higher effective bandwidth than accesses to more
53 remote cells. 55 remote cells.
54 56
55 For some architectures, such as x86, Linux wil 57 For some architectures, such as x86, Linux will "hide" any node representing a
56 physical cell that has no memory attached, and 58 physical cell that has no memory attached, and reassign any CPUs attached to
57 that cell to a node representing a cell that d 59 that cell to a node representing a cell that does have memory. Thus, on
58 these architectures, one cannot assume that al 60 these architectures, one cannot assume that all CPUs that Linux associates with
59 a given node will see the same local memory ac 61 a given node will see the same local memory access times and bandwidth.
60 62
61 In addition, for some architectures, again x86 63 In addition, for some architectures, again x86 is an example, Linux supports
62 the emulation of additional nodes. For NUMA e 64 the emulation of additional nodes. For NUMA emulation, linux will carve up
63 the existing nodes--or the system memory for n 65 the existing nodes--or the system memory for non-NUMA platforms--into multiple
64 nodes. Each emulated node will manage a fract 66 nodes. Each emulated node will manage a fraction of the underlying cells'
65 physical memory. NUMA emulation is useful for !! 67 physical memory. NUMA emluation is useful for testing NUMA kernel and
66 application features on non-NUMA platforms, an 68 application features on non-NUMA platforms, and as a sort of memory resource
67 management mechanism when used together with c 69 management mechanism when used together with cpusets.
68 [see Documentation/admin-guide/cgroup-v1/cpuse 70 [see Documentation/admin-guide/cgroup-v1/cpusets.rst]
69 71
70 For each node with memory, Linux constructs an 72 For each node with memory, Linux constructs an independent memory management
71 subsystem, complete with its own free page lis 73 subsystem, complete with its own free page lists, in-use page lists, usage
72 statistics and locks to mediate access. In ad 74 statistics and locks to mediate access. In addition, Linux constructs for
73 each memory zone [one or more of DMA, DMA32, N 75 each memory zone [one or more of DMA, DMA32, NORMAL, HIGH_MEMORY, MOVABLE],
74 an ordered "zonelist". A zonelist specifies t 76 an ordered "zonelist". A zonelist specifies the zones/nodes to visit when a
75 selected zone/node cannot satisfy the allocati 77 selected zone/node cannot satisfy the allocation request. This situation,
76 when a zone has no available memory to satisfy 78 when a zone has no available memory to satisfy a request, is called
77 "overflow" or "fallback". 79 "overflow" or "fallback".
78 80
79 Because some nodes contain multiple zones cont 81 Because some nodes contain multiple zones containing different types of
80 memory, Linux must decide whether to order the 82 memory, Linux must decide whether to order the zonelists such that allocations
81 fall back to the same zone type on a different 83 fall back to the same zone type on a different node, or to a different zone
82 type on the same node. This is an important c 84 type on the same node. This is an important consideration because some zones,
83 such as DMA or DMA32, represent relatively sca 85 such as DMA or DMA32, represent relatively scarce resources. Linux chooses
84 a default Node ordered zonelist. This means it 86 a default Node ordered zonelist. This means it tries to fallback to other zones
85 from the same node before using remote nodes w 87 from the same node before using remote nodes which are ordered by NUMA distance.
86 88
87 By default, Linux will attempt to satisfy memo 89 By default, Linux will attempt to satisfy memory allocation requests from the
88 node to which the CPU that executes the reques 90 node to which the CPU that executes the request is assigned. Specifically,
89 Linux will attempt to allocate from the first 91 Linux will attempt to allocate from the first node in the appropriate zonelist
90 for the node where the request originates. Th 92 for the node where the request originates. This is called "local allocation."
91 If the "local" node cannot satisfy the request 93 If the "local" node cannot satisfy the request, the kernel will examine other
92 nodes' zones in the selected zonelist looking 94 nodes' zones in the selected zonelist looking for the first zone in the list
93 that can satisfy the request. 95 that can satisfy the request.
94 96
95 Local allocation will tend to keep subsequent 97 Local allocation will tend to keep subsequent access to the allocated memory
96 "local" to the underlying physical resources a 98 "local" to the underlying physical resources and off the system interconnect--
97 as long as the task on whose behalf the kernel 99 as long as the task on whose behalf the kernel allocated some memory does not
98 later migrate away from that memory. The Linu 100 later migrate away from that memory. The Linux scheduler is aware of the
99 NUMA topology of the platform--embodied in the 101 NUMA topology of the platform--embodied in the "scheduling domains" data
100 structures [see Documentation/scheduler/sched- 102 structures [see Documentation/scheduler/sched-domains.rst]--and the scheduler
101 attempts to minimize task migration to distant 103 attempts to minimize task migration to distant scheduling domains. However,
102 the scheduler does not take a task's NUMA foot 104 the scheduler does not take a task's NUMA footprint into account directly.
103 Thus, under sufficient imbalance, tasks can mi 105 Thus, under sufficient imbalance, tasks can migrate between nodes, remote
104 from their initial node and kernel data struct 106 from their initial node and kernel data structures.
105 107
106 System administrators and application designer 108 System administrators and application designers can restrict a task's migration
107 to improve NUMA locality using various CPU aff 109 to improve NUMA locality using various CPU affinity command line interfaces,
108 such as taskset(1) and numactl(1), and program 110 such as taskset(1) and numactl(1), and program interfaces such as
109 sched_setaffinity(2). Further, one can modify 111 sched_setaffinity(2). Further, one can modify the kernel's default local
110 allocation behavior using Linux NUMA memory po 112 allocation behavior using Linux NUMA memory policy. [see
111 Documentation/admin-guide/mm/numa_memory_polic !! 113 :ref:`Documentation/admin-guide/mm/numa_memory_policy.rst <numa_memory_policy>`].
112 114
113 System administrators can restrict the CPUs an 115 System administrators can restrict the CPUs and nodes' memories that a non-
114 privileged user can specify in the scheduling 116 privileged user can specify in the scheduling or NUMA commands and functions
115 using control groups and CPUsets. [see Docume 117 using control groups and CPUsets. [see Documentation/admin-guide/cgroup-v1/cpusets.rst]
116 118
117 On architectures that do not hide memoryless n 119 On architectures that do not hide memoryless nodes, Linux will include only
118 zones [nodes] with memory in the zonelists. T 120 zones [nodes] with memory in the zonelists. This means that for a memoryless
119 node the "local memory node"--the node of the 121 node the "local memory node"--the node of the first zone in CPU's node's
120 zonelist--will not be the node itself. Rather 122 zonelist--will not be the node itself. Rather, it will be the node that the
121 kernel selected as the nearest node with memor 123 kernel selected as the nearest node with memory when it built the zonelists.
122 So, default, local allocations will succeed wi 124 So, default, local allocations will succeed with the kernel supplying the
123 closest available memory. This is a consequen 125 closest available memory. This is a consequence of the same mechanism that
124 allows such allocations to fallback to other n 126 allows such allocations to fallback to other nearby nodes when a node that
125 does contain memory overflows. 127 does contain memory overflows.
126 128
127 Some kernel allocations do not want or cannot 129 Some kernel allocations do not want or cannot tolerate this allocation fallback
128 behavior. Rather they want to be sure they ge 130 behavior. Rather they want to be sure they get memory from the specified node
129 or get notified that the node has no free memo 131 or get notified that the node has no free memory. This is usually the case when
130 a subsystem allocates per CPU memory resources 132 a subsystem allocates per CPU memory resources, for example.
131 133
132 A typical model for making such an allocation 134 A typical model for making such an allocation is to obtain the node id of the
133 node to which the "current CPU" is attached us 135 node to which the "current CPU" is attached using one of the kernel's
134 numa_node_id() or CPU_to_node() functions and 136 numa_node_id() or CPU_to_node() functions and then request memory from only
135 the node id returned. When such an allocation 137 the node id returned. When such an allocation fails, the requesting subsystem
136 may revert to its own fallback path. The slab 138 may revert to its own fallback path. The slab kernel memory allocator is an
137 example of this. Or, the subsystem may choose 139 example of this. Or, the subsystem may choose to disable or not to enable
138 itself on allocation failure. The kernel prof 140 itself on allocation failure. The kernel profiling subsystem is an example of
139 this. 141 this.
140 142
141 If the architecture supports--does not hide--m 143 If the architecture supports--does not hide--memoryless nodes, then CPUs
142 attached to memoryless nodes would always incu 144 attached to memoryless nodes would always incur the fallback path overhead
143 or some subsystems would fail to initialize if 145 or some subsystems would fail to initialize if they attempted to allocated
144 memory exclusively from a node without memory. 146 memory exclusively from a node without memory. To support such
145 architectures transparently, kernel subsystems 147 architectures transparently, kernel subsystems can use the numa_mem_id()
146 or cpu_to_mem() function to locate the "local 148 or cpu_to_mem() function to locate the "local memory node" for the calling or
147 specified CPU. Again, this is the same node f 149 specified CPU. Again, this is the same node from which default, local page
148 allocations will be attempted. 150 allocations will be attempted.
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