cachepc-qemu

Fork of AMDESE/qemu with changes for cachepc side-channel attack
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ppc-spapr-numa.rst (15042B)


      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.