xref: /qemu/docs/specs/ppc-spapr-numa.rst (revision 138ca49a)
1
2NUMA mechanics for sPAPR (pseries machines)
3============================================
4
5NUMA in sPAPR works different than the System Locality Distance
6Information Table (SLIT) in ACPI. The logic is explained in the LOPAPR
71.1 chapter 15, "Non Uniform Memory Access (NUMA) Option". This
8document aims to complement this specification, providing details
9of the elements that impacts how QEMU views NUMA in pseries.
10
11Associativity and ibm,associativity property
12--------------------------------------------
13
14Associativity is defined as a group of platform resources that has
15similar mean performance (or in our context here, distance) relative to
16everyone else outside of the group.
17
18The format of the ibm,associativity property varies with the value of
19bit 0 of byte 5 of the ibm,architecture-vec-5 property. The format with
20bit 0 equal to zero is deprecated. The current format, with the bit 0
21with the value of one, makes ibm,associativity property represent the
22physical hierarchy of the platform, as one or more lists that starts
23with the highest level grouping up to the smallest. Considering the
24following topology:
25
26::
27
28    Mem M1 ---- Proc P1    |
29    -----------------      | Socket S1  ---|
30          chip C1          |               |
31                                           | HW module 1 (MOD1)
32    Mem M2 ---- Proc P2    |               |
33    -----------------      | Socket S2  ---|
34          chip C2          |
35
36The ibm,associativity property for the processors would be:
37
38* P1: {MOD1, S1, C1, P1}
39* P2: {MOD1, S2, C2, P2}
40
41Each allocable resource has an ibm,associativity property. The LOPAPR
42specification allows multiple lists to be present in this property,
43considering that the same resource can have multiple connections to the
44platform.
45
46Relative Performance Distance and ibm,associativity-reference-points
47--------------------------------------------------------------------
48
49The ibm,associativity-reference-points property is an array that is used
50to define the relevant performance/distance  related boundaries, defining
51the NUMA levels for the platform.
52
53The definition of its elements also varies with the value of bit 0 of byte 5
54of the ibm,architecture-vec-5 property. The format with bit 0 equal to zero
55is also deprecated. With the current format, each integer of the
56ibm,associativity-reference-points represents an 1 based ordinal index (i.e.
57the first element is 1) of the ibm,associativity array. The first
58boundary is the most significant to application performance, followed by
59less significant boundaries. Allocated resources that belongs to the
60same performance boundaries are expected to have relative NUMA distance
61that matches the relevancy of the boundary itself. Resources that belongs
62to the same first boundary will have the shortest distance from each
63other. Subsequent boundaries represents greater distances and degraded
64performance.
65
66Using the previous example, the following setting reference points defines
67three NUMA levels:
68
69* ibm,associativity-reference-points = {0x3, 0x2, 0x1}
70
71The first NUMA level (0x3) is interpreted as the third element of each
72ibm,associativity array, the second level is the second element and
73the third level is the first element. Let's also consider that elements
74belonging to the first NUMA level have distance equal to 10 from each
75other, and each NUMA level doubles the distance from the previous. This
76means that the second would be 20 and the third level 40. For the P1 and
77P2 processors, we would have the following NUMA levels:
78
79::
80
81  * ibm,associativity-reference-points = {0x3, 0x2, 0x1}
82
83  * P1: associativity{MOD1, S1, C1, P1}
84
85  First NUMA level (0x3) => associativity[2] = C1
86  Second NUMA level (0x2) => associativity[1] = S1
87  Third NUMA level (0x1) => associativity[0] = MOD1
88
89  * P2: associativity{MOD1, S2, C2, P2}
90
91  First NUMA level (0x3) => associativity[2] = C2
92  Second NUMA level (0x2) => associativity[1] = S2
93  Third NUMA level (0x1) => associativity[0] = MOD1
94
95  P1 and P2 have the same third NUMA level, MOD1: Distance between them = 40
96
97Changing the ibm,associativity-reference-points array changes the performance
98distance attributes for the same associativity arrays, as the following
99example illustrates:
100
101::
102
103  * ibm,associativity-reference-points = {0x2}
104
105  * P1: associativity{MOD1, S1, C1, P1}
106
107  First NUMA level (0x2) => associativity[1] = S1
108
109  * P2: associativity{MOD1, S2, C2, P2}
110
111  First NUMA level (0x2) => associativity[1] = S2
112
113  P1 and P2 does not have a common performance boundary. Since this is a one level
114  NUMA configuration, distance between them is one boundary above the first
115  level, 20.
116
117
118In a hypothetical platform where all resources inside the same hardware module
119is considered to be on the same performance boundary:
120
121::
122
123  * ibm,associativity-reference-points = {0x1}
124
125  * P1: associativity{MOD1, S1, C1, P1}
126
127  First NUMA level (0x1) => associativity[0] = MOD0
128
129  * P2: associativity{MOD1, S2, C2, P2}
130
131  First NUMA level (0x1) => associativity[0] = MOD0
132
133  P1 and P2 belongs to the same first order boundary. The distance between then
134  is 10.
135
136
137How the pseries Linux guest calculates NUMA distances
138=====================================================
139
140Another key difference between ACPI SLIT and the LOPAPR regarding NUMA is
141how the distances are expressed. The SLIT table provides the NUMA distance
142value between the relevant resources. LOPAPR does not provide a standard
143way to calculate it. We have the ibm,associativity for each resource, which
144provides a common-performance hierarchy,  and the ibm,associativity-reference-points
145array that tells which level of associativity is considered to be relevant
146or not.
147
148The result is that each OS is free to implement and to interpret the distance
149as it sees fit. For the pseries Linux guest, each level of NUMA duplicates
150the distance of the previous level, and the maximum amount of levels is
151limited to MAX_DISTANCE_REF_POINTS = 4 (from arch/powerpc/mm/numa.c in the
152kernel tree). This results in the following distances:
153
154* both resources in the first NUMA level: 10
155* resources one NUMA level apart: 20
156* resources two NUMA levels apart: 40
157* resources three NUMA levels apart: 80
158* resources four NUMA levels apart: 160
159
160
161pseries NUMA mechanics
162======================
163
164Starting in QEMU 5.2, the pseries machine considers user input when setting NUMA
165topology of the guest. The overall design is:
166
167* ibm,associativity-reference-points is set to {0x4, 0x3, 0x2, 0x1}, allowing
168  for 4 distinct NUMA distance values based on the NUMA levels
169
170* ibm,max-associativity-domains supports multiple associativity domains in all
171  NUMA levels, granting user flexibility
172
173* ibm,associativity for all resources varies with user input
174
175These changes are only effective for pseries-5.2 and newer machines that are
176created with more than one NUMA node (disconsidering NUMA nodes created by
177the machine itself, e.g. NVLink 2 GPUs). The now legacy support has been
178around for such a long time, with users seeing NUMA distances 10 and 40
179(and 80 if using NVLink2 GPUs), and there is no need to disrupt the
180existing experience of those guests.
181
182To bring the user experience x86 users have when tuning up NUMA, we had
183to operate under the current pseries Linux kernel logic described in
184`How the pseries Linux guest calculates NUMA distances`_. The result
185is that we needed to translate NUMA distance user input to pseries
186Linux kernel input.
187
188Translating user distance to kernel distance
189--------------------------------------------
190
191User input for NUMA distance can vary from 10 to 254. We need to translate
192that to the values that the Linux kernel operates on (10, 20, 40, 80, 160).
193This is how it is being done:
194
195* user distance 11 to 30 will be interpreted as 20
196* user distance 31 to 60 will be interpreted as 40
197* user distance 61 to 120 will be interpreted as 80
198* user distance 121 and beyond will be interpreted as 160
199* user distance 10 stays 10
200
201The reasoning behind this approximation is to avoid any round up to the local
202distance (10), keeping it exclusive to the 4th NUMA level (which is still
203exclusive to the node_id). All other ranges were chosen under the developer
204discretion of what would be (somewhat) sensible considering the user input.
205Any other strategy can be used here, but in the end the reality is that we'll
206have to accept that a large array of values will be translated to the same
207NUMA topology in the guest, e.g. this user input:
208
209::
210
211      0   1   2
212  0  10  31 120
213  1  31  10  30
214  2 120  30  10
215
216And this other user input:
217
218::
219
220      0   1   2
221  0  10  60  61
222  1  60  10  11
223  2  61  11  10
224
225Will both be translated to the same values internally:
226
227::
228
229      0   1   2
230  0  10  40  80
231  1  40  10  20
232  2  80  20  10
233
234Users are encouraged to use only the kernel values in the NUMA definition to
235avoid being taken by surprise with that the guest is actually seeing in the
236topology. There are enough potential surprises that are inherent to the
237associativity domain assignment process, discussed below.
238
239
240How associativity domains are assigned
241--------------------------------------
242
243LOPAPR allows more than one associativity array (or 'string') per allocated
244resource. This would be used to represent that the resource has multiple
245connections with the board, and then the operational system, when deciding
246NUMA distancing, should consider the associativity information that provides
247the shortest distance.
248
249The spapr implementation does not support multiple associativity arrays per
250resource, neither does the pseries Linux kernel. We'll have to represent the
251NUMA topology using one associativity per resource, which means that choices
252and compromises are going to be made.
253
254Consider the following NUMA topology entered by user input:
255
256::
257
258      0   1   2   3
259  0  10  40  20  40
260  1  40  10  80  40
261  2  20  80  10  20
262  3  40  40  20  10
263
264All the associativity arrays are initialized with NUMA id in all associativity
265domains:
266
267* node 0: 0 0 0 0
268* node 1: 1 1 1 1
269* node 2: 2 2 2 2
270* node 3: 3 3 3 3
271
272
273Honoring just the relative distances of node 0 to every other node, we find the
274NUMA level matches (considering the reference points {0x4, 0x3, 0x2, 0x1}) for
275each distance:
276
277* distance from 0 to 1 is 40 (no match at 0x4 and 0x3, will match
278  at 0x2)
279* distance from 0 to 2 is 20 (no match at 0x4, will match at 0x3)
280* distance from 0 to 3 is 40 (no match at 0x4 and 0x3, will match
281  at 0x2)
282
283We'll copy the associativity domains of node 0 to all other nodes, based on
284the NUMA level matches. Between 0 and 1, a match in 0x2, we'll also copy
285the domains 0x2 and 0x1 from 0 to 1 as well. This will give us:
286
287* node 0: 0 0 0 0
288* node 1: 0 0 1 1
289
290Doing the same to node 2 and node 3, these are the associativity arrays
291after considering all matches with node 0:
292
293* node 0: 0 0 0 0
294* node 1: 0 0 1 1
295* node 2: 0 0 0 2
296* node 3: 0 0 3 3
297
298The distances related to node 0 are accounted for. For node 1, and keeping
299in mind that we don't need to revisit node 0 again, the distance from
300node 1 to 2 is 80, matching at 0x1, and distance from 1 to 3 is 40,
301match in 0x2. Repeating the same logic of copying all domains up to
302the NUMA level match:
303
304* node 0: 0 0 0 0
305* node 1: 1 0 1 1
306* node 2: 1 0 0 2
307* node 3: 1 0 3 3
308
309In the last step we will analyze just nodes 2 and 3. The desired distance
310between 2 and 3 is 20, i.e. a match in 0x3:
311
312* node 0: 0 0 0 0
313* node 1: 1 0 1 1
314* node 2: 1 0 0 2
315* node 3: 1 0 0 3
316
317
318The kernel will read these arrays and will calculate the following NUMA topology for
319the guest:
320
321::
322
323      0   1   2   3
324  0  10  40  20  20
325  1  40  10  40  40
326  2  20  40  10  20
327  3  20  40  20  10
328
329Note that this is not what the user wanted - the desired distance between
3300 and 3 is 40, we calculated it as 20. This is what the current logic and
331implementation constraints of the kernel and QEMU will provide inside the
332LOPAPR specification.
333
334Users are welcome to use this knowledge and experiment with the input to get
335the NUMA topology they want, or as closer as they want. The important thing
336is to keep expectations up to par with what we are capable of provide at this
337moment: an approximation.
338
339Limitations of the implementation
340---------------------------------
341
342As mentioned above, the pSeries NUMA distance logic is, in fact, a way to approximate
343user choice. The Linux kernel, and PAPR itself, does not provide QEMU with the ways
344to fully map user input to actual NUMA distance the guest will use. These limitations
345creates two notable limitations in our support:
346
347* Asymmetrical topologies aren't supported. We only support NUMA topologies where
348  the distance from node A to B is always the same as B to A. We do not support
349  any A-B pair where the distance back and forth is asymmetric. For example, the
350  following topology isn't supported and the pSeries guest will not boot with this
351  user input:
352
353::
354
355      0   1
356  0  10  40
357  1  20  10
358
359
360* 'non-transitive' topologies will be poorly translated to the guest. This is the
361  kind of topology where the distance from a node A to B is X, B to C is X, but
362  the distance A to C is not X. E.g.:
363
364::
365
366      0   1   2   3
367  0  10  20  20  40
368  1  20  10  80  40
369  2  20  80  10  20
370  3  40  40  20  10
371
372  In the example above, distance 0 to 2 is 20, 2 to 3 is 20, but 0 to 3 is 40.
373  The kernel will always match with the shortest associativity domain possible,
374  and we're attempting to retain the previous established relations between the
375  nodes. This means that a distance equal to 20 between nodes 0 and 2 and the
376  same distance 20 between nodes 2 and 3 will cause the distance between 0 and 3
377  to also be 20.
378
379
380Legacy (5.1 and older) pseries NUMA mechanics
381=============================================
382
383In short, we can summarize the NUMA distances seem in pseries Linux guests, using
384QEMU up to 5.1, as follows:
385
386* local distance, i.e. the distance of the resource to its own NUMA node: 10
387* if it's a NVLink GPU device, distance: 80
388* every other resource, distance: 40
389
390The way the pseries Linux guest calculates NUMA distances has a direct effect
391on what QEMU users can expect when doing NUMA tuning. As of QEMU 5.1, this is
392the default ibm,associativity-reference-points being used in the pseries
393machine:
394
395ibm,associativity-reference-points = {0x4, 0x4, 0x2}
396
397The first and second level are equal, 0x4, and a third one was added in
398commit a6030d7e0b35 exclusively for NVLink GPUs support. This means that
399regardless of how the ibm,associativity properties are being created in
400the device tree, the pseries Linux guest will only recognize three scenarios
401as far as NUMA distance goes:
402
403* if the resources belongs to the same first NUMA level = 10
404* second level is skipped since it's equal to the first
405* all resources that aren't a NVLink GPU, it is guaranteed that they will belong
406  to the same third NUMA level, having distance = 40
407* for NVLink GPUs, distance = 80 from everything else
408
409This also means that user input in QEMU command line does not change the
410NUMA distancing inside the guest for the pseries machine.
411