qemu-e2k/hw/ppc/spapr_numa.c

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/*
* QEMU PowerPC pSeries Logical Partition NUMA associativity handling
*
* Copyright IBM Corp. 2020
*
* Authors:
* Daniel Henrique Barboza <danielhb413@gmail.com>
*
* This work is licensed under the terms of the GNU GPL, version 2 or later.
* See the COPYING file in the top-level directory.
*/
#include "qemu/osdep.h"
#include "qemu-common.h"
#include "hw/ppc/spapr_numa.h"
#include "hw/pci-host/spapr.h"
#include "hw/ppc/fdt.h"
/* Moved from hw/ppc/spapr_pci_nvlink2.c */
#define SPAPR_GPU_NUMA_ID (cpu_to_be32(1))
/*
* Retrieves max_dist_ref_points of the current NUMA affinity.
*/
static int get_max_dist_ref_points(SpaprMachineState *spapr)
{
return FORM1_DIST_REF_POINTS;
}
/*
* Retrieves numa_assoc_size of the current NUMA affinity.
*/
static int get_numa_assoc_size(SpaprMachineState *spapr)
{
return FORM1_NUMA_ASSOC_SIZE;
}
/*
* Retrieves vcpu_assoc_size of the current NUMA affinity.
*
* vcpu_assoc_size is the size of ibm,associativity array
* for CPUs, which has an extra element (vcpu_id) in the end.
*/
static int get_vcpu_assoc_size(SpaprMachineState *spapr)
{
return get_numa_assoc_size(spapr) + 1;
}
/*
* Retrieves the ibm,associativity array of NUMA node 'node_id'
* for the current NUMA affinity.
*/
static const uint32_t *get_associativity(SpaprMachineState *spapr, int node_id)
{
return spapr->FORM1_assoc_array[node_id];
}
static bool spapr_numa_is_symmetrical(MachineState *ms)
{
int src, dst;
int nb_numa_nodes = ms->numa_state->num_nodes;
NodeInfo *numa_info = ms->numa_state->nodes;
for (src = 0; src < nb_numa_nodes; src++) {
for (dst = src; dst < nb_numa_nodes; dst++) {
if (numa_info[src].distance[dst] !=
numa_info[dst].distance[src]) {
return false;
}
}
}
return true;
}
/*
* NVLink2-connected GPU RAM needs to be placed on a separate NUMA node.
* We assign a new numa ID per GPU in spapr_pci_collect_nvgpu() which is
* called from vPHB reset handler so we initialize the counter here.
* If no NUMA is configured from the QEMU side, we start from 1 as GPU RAM
* must be equally distant from any other node.
* The final value of spapr->gpu_numa_id is going to be written to
* max-associativity-domains in spapr_build_fdt().
*/
unsigned int spapr_numa_initial_nvgpu_numa_id(MachineState *machine)
{
return MAX(1, machine->numa_state->num_nodes);
}
spapr_numa: consider user input when defining associativity A new function called spapr_numa_define_associativity_domains() is created to calculate the associativity domains and change the associativity arrays considering user input. This is how the associativity domain between two NUMA nodes A and B is calculated: - get the distance D between them - get the correspondent NUMA level 'n_level' for D. This is done via a helper called spapr_numa_get_numa_level() - all associativity arrays were initialized with their own numa_ids, and we're calculating the distance in node_id ascending order, starting from node id 0 (the first node retrieved by numa_state). This will have a cascade effect in the algorithm because the associativity domains that node 0 defines will be carried over to other nodes, and node 1 associativities will be carried over after taking node 0 associativities into account, and so on. This happens because we'll assign assoc_src as the associativity domain of dst as well, for all NUMA levels beyond and including n_level. The PPC kernel expects the associativity domains of the first node (node id 0) to be always 0 [1], and this algorithm will grant that by default. Ultimately, all of this results in a best effort approximation for the actual NUMA distances the user input in the command line. Given the nature of how PAPR itself interprets NUMA distances versus the expectations risen by how ACPI SLIT works, there might be better algorithms but, in the end, it'll also result in another way to approximate what the user really wanted. To keep this commit message no longer than it already is, the next patch will update the existing documentation in ppc-spapr-numa.rst with more in depth details and design considerations/drawbacks. [1] https://lore.kernel.org/linuxppc-dev/5e8fbea3-8faf-0951-172a-b41a2138fbcf@gmail.com/ Signed-off-by: Daniel Henrique Barboza <danielhb413@gmail.com> Message-Id: <20201007172849.302240-5-danielhb413@gmail.com> Signed-off-by: David Gibson <david@gibson.dropbear.id.au>
2020-10-07 19:28:48 +02:00
/*
* This function will translate the user distances into
* what the kernel understand as possible values: 10
* (local distance), 20, 40, 80 and 160, and return the equivalent
* NUMA level for each. Current heuristic is:
* - local distance (10) returns numa_level = 0x4, meaning there is
* no rounding for local distance
* - distances between 11 and 30 inclusive -> rounded to 20,
* numa_level = 0x3
* - distances between 31 and 60 inclusive -> rounded to 40,
* numa_level = 0x2
* - distances between 61 and 120 inclusive -> rounded to 80,
* numa_level = 0x1
* - everything above 120 returns numa_level = 0 to indicate that
* there is no match. This will be calculated as disntace = 160
* by the kernel (as of v5.9)
*/
static uint8_t spapr_numa_get_numa_level(uint8_t distance)
{
if (distance == 10) {
return 0x4;
} else if (distance > 11 && distance <= 30) {
return 0x3;
} else if (distance > 31 && distance <= 60) {
return 0x2;
} else if (distance > 61 && distance <= 120) {
return 0x1;
}
return 0;
}
static void spapr_numa_define_FORM1_domains(SpaprMachineState *spapr)
spapr_numa: consider user input when defining associativity A new function called spapr_numa_define_associativity_domains() is created to calculate the associativity domains and change the associativity arrays considering user input. This is how the associativity domain between two NUMA nodes A and B is calculated: - get the distance D between them - get the correspondent NUMA level 'n_level' for D. This is done via a helper called spapr_numa_get_numa_level() - all associativity arrays were initialized with their own numa_ids, and we're calculating the distance in node_id ascending order, starting from node id 0 (the first node retrieved by numa_state). This will have a cascade effect in the algorithm because the associativity domains that node 0 defines will be carried over to other nodes, and node 1 associativities will be carried over after taking node 0 associativities into account, and so on. This happens because we'll assign assoc_src as the associativity domain of dst as well, for all NUMA levels beyond and including n_level. The PPC kernel expects the associativity domains of the first node (node id 0) to be always 0 [1], and this algorithm will grant that by default. Ultimately, all of this results in a best effort approximation for the actual NUMA distances the user input in the command line. Given the nature of how PAPR itself interprets NUMA distances versus the expectations risen by how ACPI SLIT works, there might be better algorithms but, in the end, it'll also result in another way to approximate what the user really wanted. To keep this commit message no longer than it already is, the next patch will update the existing documentation in ppc-spapr-numa.rst with more in depth details and design considerations/drawbacks. [1] https://lore.kernel.org/linuxppc-dev/5e8fbea3-8faf-0951-172a-b41a2138fbcf@gmail.com/ Signed-off-by: Daniel Henrique Barboza <danielhb413@gmail.com> Message-Id: <20201007172849.302240-5-danielhb413@gmail.com> Signed-off-by: David Gibson <david@gibson.dropbear.id.au>
2020-10-07 19:28:48 +02:00
{
MachineState *ms = MACHINE(spapr);
NodeInfo *numa_info = ms->numa_state->nodes;
int nb_numa_nodes = ms->numa_state->num_nodes;
int src, dst, i, j;
/*
* Fill all associativity domains of non-zero NUMA nodes with
* node_id. This is required because the default value (0) is
* considered a match with associativity domains of node 0.
*/
for (i = 1; i < nb_numa_nodes; i++) {
for (j = 1; j < FORM1_DIST_REF_POINTS; j++) {
spapr->FORM1_assoc_array[i][j] = cpu_to_be32(i);
}
}
spapr_numa: consider user input when defining associativity A new function called spapr_numa_define_associativity_domains() is created to calculate the associativity domains and change the associativity arrays considering user input. This is how the associativity domain between two NUMA nodes A and B is calculated: - get the distance D between them - get the correspondent NUMA level 'n_level' for D. This is done via a helper called spapr_numa_get_numa_level() - all associativity arrays were initialized with their own numa_ids, and we're calculating the distance in node_id ascending order, starting from node id 0 (the first node retrieved by numa_state). This will have a cascade effect in the algorithm because the associativity domains that node 0 defines will be carried over to other nodes, and node 1 associativities will be carried over after taking node 0 associativities into account, and so on. This happens because we'll assign assoc_src as the associativity domain of dst as well, for all NUMA levels beyond and including n_level. The PPC kernel expects the associativity domains of the first node (node id 0) to be always 0 [1], and this algorithm will grant that by default. Ultimately, all of this results in a best effort approximation for the actual NUMA distances the user input in the command line. Given the nature of how PAPR itself interprets NUMA distances versus the expectations risen by how ACPI SLIT works, there might be better algorithms but, in the end, it'll also result in another way to approximate what the user really wanted. To keep this commit message no longer than it already is, the next patch will update the existing documentation in ppc-spapr-numa.rst with more in depth details and design considerations/drawbacks. [1] https://lore.kernel.org/linuxppc-dev/5e8fbea3-8faf-0951-172a-b41a2138fbcf@gmail.com/ Signed-off-by: Daniel Henrique Barboza <danielhb413@gmail.com> Message-Id: <20201007172849.302240-5-danielhb413@gmail.com> Signed-off-by: David Gibson <david@gibson.dropbear.id.au>
2020-10-07 19:28:48 +02:00
for (src = 0; src < nb_numa_nodes; src++) {
for (dst = src; dst < nb_numa_nodes; dst++) {
/*
* This is how the associativity domain between A and B
* is calculated:
*
* - get the distance D between them
* - get the correspondent NUMA level 'n_level' for D
* - all associativity arrays were initialized with their own
* numa_ids, and we're calculating the distance in node_id
* ascending order, starting from node id 0 (the first node
* retrieved by numa_state). This will have a cascade effect in
* the algorithm because the associativity domains that node 0
* defines will be carried over to other nodes, and node 1
* associativities will be carried over after taking node 0
* associativities into account, and so on. This happens because
* we'll assign assoc_src as the associativity domain of dst
* as well, for all NUMA levels beyond and including n_level.
*
* The PPC kernel expects the associativity domains of node 0 to
* be always 0, and this algorithm will grant that by default.
*/
uint8_t distance = numa_info[src].distance[dst];
uint8_t n_level = spapr_numa_get_numa_level(distance);
uint32_t assoc_src;
/*
* n_level = 0 means that the distance is greater than our last
* rounded value (120). In this case there is no NUMA level match
* between src and dst and we can skip the remaining of the loop.
*
* The Linux kernel will assume that the distance between src and
* dst, in this case of no match, is 10 (local distance) doubled
* for each NUMA it didn't match. We have FORM1_DIST_REF_POINTS
spapr_numa: consider user input when defining associativity A new function called spapr_numa_define_associativity_domains() is created to calculate the associativity domains and change the associativity arrays considering user input. This is how the associativity domain between two NUMA nodes A and B is calculated: - get the distance D between them - get the correspondent NUMA level 'n_level' for D. This is done via a helper called spapr_numa_get_numa_level() - all associativity arrays were initialized with their own numa_ids, and we're calculating the distance in node_id ascending order, starting from node id 0 (the first node retrieved by numa_state). This will have a cascade effect in the algorithm because the associativity domains that node 0 defines will be carried over to other nodes, and node 1 associativities will be carried over after taking node 0 associativities into account, and so on. This happens because we'll assign assoc_src as the associativity domain of dst as well, for all NUMA levels beyond and including n_level. The PPC kernel expects the associativity domains of the first node (node id 0) to be always 0 [1], and this algorithm will grant that by default. Ultimately, all of this results in a best effort approximation for the actual NUMA distances the user input in the command line. Given the nature of how PAPR itself interprets NUMA distances versus the expectations risen by how ACPI SLIT works, there might be better algorithms but, in the end, it'll also result in another way to approximate what the user really wanted. To keep this commit message no longer than it already is, the next patch will update the existing documentation in ppc-spapr-numa.rst with more in depth details and design considerations/drawbacks. [1] https://lore.kernel.org/linuxppc-dev/5e8fbea3-8faf-0951-172a-b41a2138fbcf@gmail.com/ Signed-off-by: Daniel Henrique Barboza <danielhb413@gmail.com> Message-Id: <20201007172849.302240-5-danielhb413@gmail.com> Signed-off-by: David Gibson <david@gibson.dropbear.id.au>
2020-10-07 19:28:48 +02:00
* levels (4), so this gives us 10*2*2*2*2 = 160.
*
* This logic can be seen in the Linux kernel source code, as of
* v5.9, in arch/powerpc/mm/numa.c, function __node_distance().
*/
if (n_level == 0) {
continue;
}
/*
* We must assign all assoc_src to dst, starting from n_level
* and going up to 0x1.
*/
for (i = n_level; i > 0; i--) {
assoc_src = spapr->FORM1_assoc_array[src][i];
spapr->FORM1_assoc_array[dst][i] = assoc_src;
spapr_numa: consider user input when defining associativity A new function called spapr_numa_define_associativity_domains() is created to calculate the associativity domains and change the associativity arrays considering user input. This is how the associativity domain between two NUMA nodes A and B is calculated: - get the distance D between them - get the correspondent NUMA level 'n_level' for D. This is done via a helper called spapr_numa_get_numa_level() - all associativity arrays were initialized with their own numa_ids, and we're calculating the distance in node_id ascending order, starting from node id 0 (the first node retrieved by numa_state). This will have a cascade effect in the algorithm because the associativity domains that node 0 defines will be carried over to other nodes, and node 1 associativities will be carried over after taking node 0 associativities into account, and so on. This happens because we'll assign assoc_src as the associativity domain of dst as well, for all NUMA levels beyond and including n_level. The PPC kernel expects the associativity domains of the first node (node id 0) to be always 0 [1], and this algorithm will grant that by default. Ultimately, all of this results in a best effort approximation for the actual NUMA distances the user input in the command line. Given the nature of how PAPR itself interprets NUMA distances versus the expectations risen by how ACPI SLIT works, there might be better algorithms but, in the end, it'll also result in another way to approximate what the user really wanted. To keep this commit message no longer than it already is, the next patch will update the existing documentation in ppc-spapr-numa.rst with more in depth details and design considerations/drawbacks. [1] https://lore.kernel.org/linuxppc-dev/5e8fbea3-8faf-0951-172a-b41a2138fbcf@gmail.com/ Signed-off-by: Daniel Henrique Barboza <danielhb413@gmail.com> Message-Id: <20201007172849.302240-5-danielhb413@gmail.com> Signed-off-by: David Gibson <david@gibson.dropbear.id.au>
2020-10-07 19:28:48 +02:00
}
}
}
}
/*
* Set NUMA machine state data based on FORM1 affinity semantics.
*/
static void spapr_numa_FORM1_affinity_init(SpaprMachineState *spapr,
MachineState *machine)
{
SpaprMachineClass *smc = SPAPR_MACHINE_GET_CLASS(spapr);
int nb_numa_nodes = machine->numa_state->num_nodes;
int i, j, max_nodes_with_gpus;
/*
* For all associativity arrays: first position is the size,
* position FORM1_DIST_REF_POINTS is always the numa_id,
* represented by the index 'i'.
*
* This will break on sparse NUMA setups, when/if QEMU starts
* to support it, because there will be no more guarantee that
* 'i' will be a valid node_id set by the user.
*/
for (i = 0; i < nb_numa_nodes; i++) {
spapr->FORM1_assoc_array[i][0] = cpu_to_be32(FORM1_DIST_REF_POINTS);
spapr->FORM1_assoc_array[i][FORM1_DIST_REF_POINTS] = cpu_to_be32(i);
}
/*
* Initialize NVLink GPU associativity arrays. We know that
* the first GPU will take the first available NUMA id, and
* we'll have a maximum of NVGPU_MAX_NUM GPUs in the machine.
* At this point we're not sure if there are GPUs or not, but
* let's initialize the associativity arrays and allow NVLink
* GPUs to be handled like regular NUMA nodes later on.
*/
max_nodes_with_gpus = nb_numa_nodes + NVGPU_MAX_NUM;
for (i = nb_numa_nodes; i < max_nodes_with_gpus; i++) {
spapr->FORM1_assoc_array[i][0] = cpu_to_be32(FORM1_DIST_REF_POINTS);
for (j = 1; j < FORM1_DIST_REF_POINTS; j++) {
uint32_t gpu_assoc = smc->pre_5_1_assoc_refpoints ?
SPAPR_GPU_NUMA_ID : cpu_to_be32(i);
spapr->FORM1_assoc_array[i][j] = gpu_assoc;
}
spapr->FORM1_assoc_array[i][FORM1_DIST_REF_POINTS] = cpu_to_be32(i);
}
/*
* Guests pseries-5.1 and older uses zeroed associativity domains,
* i.e. no domain definition based on NUMA distance input.
*
* Same thing with guests that have only one NUMA node.
*/
if (smc->pre_5_2_numa_associativity ||
machine->numa_state->num_nodes <= 1) {
return;
}
if (!spapr_numa_is_symmetrical(machine)) {
error_report("Asymmetrical NUMA topologies aren't supported "
"in the pSeries machine");
exit(EXIT_FAILURE);
}
spapr_numa_define_FORM1_domains(spapr);
}
void spapr_numa_associativity_init(SpaprMachineState *spapr,
MachineState *machine)
{
spapr_numa_FORM1_affinity_init(spapr, machine);
}
void spapr_numa_write_associativity_dt(SpaprMachineState *spapr, void *fdt,
int offset, int nodeid)
{
const uint32_t *associativity = get_associativity(spapr, nodeid);
_FDT((fdt_setprop(fdt, offset, "ibm,associativity",
associativity,
get_numa_assoc_size(spapr) * sizeof(uint32_t))));
}
static uint32_t *spapr_numa_get_vcpu_assoc(SpaprMachineState *spapr,
PowerPCCPU *cpu)
{
const uint32_t *associativity = get_associativity(spapr, cpu->node_id);
int max_distance_ref_points = get_max_dist_ref_points(spapr);
int vcpu_assoc_size = get_vcpu_assoc_size(spapr);
uint32_t *vcpu_assoc = g_new(uint32_t, vcpu_assoc_size);
int index = spapr_get_vcpu_id(cpu);
/*
* VCPUs have an extra 'cpu_id' value in ibm,associativity
* compared to other resources. Increment the size at index
* 0, put cpu_id last, then copy the remaining associativity
* domains.
*/
vcpu_assoc[0] = cpu_to_be32(max_distance_ref_points + 1);
vcpu_assoc[vcpu_assoc_size - 1] = cpu_to_be32(index);
memcpy(vcpu_assoc + 1, associativity + 1,
(vcpu_assoc_size - 2) * sizeof(uint32_t));
return vcpu_assoc;
}
int spapr_numa_fixup_cpu_dt(SpaprMachineState *spapr, void *fdt,
int offset, PowerPCCPU *cpu)
{
g_autofree uint32_t *vcpu_assoc = NULL;
int vcpu_assoc_size = get_vcpu_assoc_size(spapr);
vcpu_assoc = spapr_numa_get_vcpu_assoc(spapr, cpu);
/* Advertise NUMA via ibm,associativity */
return fdt_setprop(fdt, offset, "ibm,associativity", vcpu_assoc,
vcpu_assoc_size * sizeof(uint32_t));
}
int spapr_numa_write_assoc_lookup_arrays(SpaprMachineState *spapr, void *fdt,
int offset)
{
MachineState *machine = MACHINE(spapr);
int max_distance_ref_points = get_max_dist_ref_points(spapr);
int nb_numa_nodes = machine->numa_state->num_nodes;
int nr_nodes = nb_numa_nodes ? nb_numa_nodes : 1;
uint32_t *int_buf, *cur_index, buf_len;
int ret, i;
/* ibm,associativity-lookup-arrays */
buf_len = (nr_nodes * max_distance_ref_points + 2) * sizeof(uint32_t);
cur_index = int_buf = g_malloc0(buf_len);
int_buf[0] = cpu_to_be32(nr_nodes);
/* Number of entries per associativity list */
int_buf[1] = cpu_to_be32(max_distance_ref_points);
cur_index += 2;
for (i = 0; i < nr_nodes; i++) {
/*
* For the lookup-array we use the ibm,associativity array of the
* current NUMA affinity, without the first element (size).
*/
const uint32_t *associativity = get_associativity(spapr, i);
memcpy(cur_index, ++associativity,
sizeof(uint32_t) * max_distance_ref_points);
cur_index += max_distance_ref_points;
}
ret = fdt_setprop(fdt, offset, "ibm,associativity-lookup-arrays", int_buf,
(cur_index - int_buf) * sizeof(uint32_t));
g_free(int_buf);
return ret;
}
static void spapr_numa_FORM1_write_rtas_dt(SpaprMachineState *spapr,
void *fdt, int rtas)
{
MachineState *ms = MACHINE(spapr);
SpaprMachineClass *smc = SPAPR_MACHINE_GET_CLASS(spapr);
uint32_t number_nvgpus_nodes = spapr->gpu_numa_id -
spapr_numa_initial_nvgpu_numa_id(ms);
uint32_t refpoints[] = {
cpu_to_be32(0x4),
cpu_to_be32(0x3),
cpu_to_be32(0x2),
cpu_to_be32(0x1),
};
uint32_t nr_refpoints = ARRAY_SIZE(refpoints);
uint32_t maxdomain = ms->numa_state->num_nodes + number_nvgpus_nodes;
uint32_t maxdomains[] = {
cpu_to_be32(4),
cpu_to_be32(maxdomain),
cpu_to_be32(maxdomain),
cpu_to_be32(maxdomain),
cpu_to_be32(maxdomain)
};
if (smc->pre_5_2_numa_associativity ||
ms->numa_state->num_nodes <= 1) {
uint32_t legacy_refpoints[] = {
cpu_to_be32(0x4),
cpu_to_be32(0x4),
cpu_to_be32(0x2),
};
uint32_t legacy_maxdomain = spapr->gpu_numa_id > 1 ? 1 : 0;
uint32_t legacy_maxdomains[] = {
cpu_to_be32(4),
cpu_to_be32(legacy_maxdomain),
cpu_to_be32(legacy_maxdomain),
cpu_to_be32(legacy_maxdomain),
cpu_to_be32(spapr->gpu_numa_id),
};
G_STATIC_ASSERT(sizeof(legacy_refpoints) <= sizeof(refpoints));
G_STATIC_ASSERT(sizeof(legacy_maxdomains) <= sizeof(maxdomains));
nr_refpoints = 3;
memcpy(refpoints, legacy_refpoints, sizeof(legacy_refpoints));
memcpy(maxdomains, legacy_maxdomains, sizeof(legacy_maxdomains));
/* pseries-5.0 and older reference-points array is {0x4, 0x4} */
if (smc->pre_5_1_assoc_refpoints) {
nr_refpoints = 2;
}
}
_FDT(fdt_setprop(fdt, rtas, "ibm,associativity-reference-points",
refpoints, nr_refpoints * sizeof(refpoints[0])));
_FDT(fdt_setprop(fdt, rtas, "ibm,max-associativity-domains",
maxdomains, sizeof(maxdomains)));
}
/*
* Helper that writes ibm,associativity-reference-points and
* max-associativity-domains in the RTAS pointed by @rtas
* in the DT @fdt.
*/
void spapr_numa_write_rtas_dt(SpaprMachineState *spapr, void *fdt, int rtas)
{
spapr_numa_FORM1_write_rtas_dt(spapr, fdt, rtas);
}
static target_ulong h_home_node_associativity(PowerPCCPU *cpu,
SpaprMachineState *spapr,
target_ulong opcode,
target_ulong *args)
{
g_autofree uint32_t *vcpu_assoc = NULL;
target_ulong flags = args[0];
target_ulong procno = args[1];
PowerPCCPU *tcpu;
int idx, assoc_idx;
int vcpu_assoc_size = get_vcpu_assoc_size(spapr);
/* only support procno from H_REGISTER_VPA */
if (flags != 0x1) {
return H_FUNCTION;
}
tcpu = spapr_find_cpu(procno);
if (tcpu == NULL) {
return H_P2;
}
/*
* Given that we want to be flexible with the sizes and indexes,
* we must consider that there is a hard limit of how many
* associativities domain we can fit in R4 up to R9, which would be
* 12 associativity domains for vcpus. Assert and bail if that's
* not the case.
*/
g_assert((vcpu_assoc_size - 1) <= 12);
vcpu_assoc = spapr_numa_get_vcpu_assoc(spapr, tcpu);
/* assoc_idx starts at 1 to skip associativity size */
assoc_idx = 1;
#define ASSOCIATIVITY(a, b) (((uint64_t)(a) << 32) | \
((uint64_t)(b) & 0xffffffff))
for (idx = 0; idx < 6; idx++) {
int32_t a, b;
/*
* vcpu_assoc[] will contain the associativity domains for tcpu,
* including tcpu->node_id and procno, meaning that we don't
* need to use these variables here.
*
* We'll read 2 values at a time to fill up the ASSOCIATIVITY()
* macro. The ternary will fill the remaining registers with -1
* after we went through vcpu_assoc[].
*/
a = assoc_idx < vcpu_assoc_size ?
be32_to_cpu(vcpu_assoc[assoc_idx++]) : -1;
b = assoc_idx < vcpu_assoc_size ?
be32_to_cpu(vcpu_assoc[assoc_idx++]) : -1;
args[idx] = ASSOCIATIVITY(a, b);
}
#undef ASSOCIATIVITY
return H_SUCCESS;
}
static void spapr_numa_register_types(void)
{
/* Virtual Processor Home Node */
spapr_register_hypercall(H_HOME_NODE_ASSOCIATIVITY,
h_home_node_associativity);
}
type_init(spapr_numa_register_types)