From: Rik van Riel <r...@redhat.com>
On systems with complex NUMA topologies, the node scoring is adjusted
to allow workloads to converge on nodes that are near each other.
The way a task group's preferred nid is determined needs to be adjusted,
in order for the preferred_nid to be consistent with group_weight scoring.
This ensures that we actually try to converge workloads on adjacent nodes.
Signed-off-by: Rik van Riel <r...@redhat.com>
---
kernel/sched/fair.c | 83 ++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 file changed, 82 insertions(+), 1 deletion(-)
diff --git a/kernel/sched/fair.c b/kernel/sched/fair.c
index fb22caf..17ebf41 100644
--- a/kernel/sched/fair.c
+++ b/kernel/sched/fair.c
@@ -1642,6 +1642,87 @@ static u64 numa_get_avg_runtime(struct task_struct *p,
u64 *period)
return delta;
}
+/*
+ * Determine the preferred nid for a task in a numa_group. This needs to
+ * be done in a way that produces consistent results with group_weight,
+ * otherwise workloads might not converge.
+ */
+static int preferred_group_nid(struct task_struct *p, int nid)
+{
+ nodemask_t nodes;
+ int hops;
+
+ /* Direct connections between all NUMA nodes. */
+ if (sched_numa_topology_type == NUMA_DIRECT)
+ return nid;
+
+ /*
+ * On a system with glueless mesh NUMA topology, group_weight
+ * scores nodes according to the number of NUMA hinting faults on
+ * both the node itself, and on nearby nodes.
+ */
+ if (sched_numa_topology_type == NUMA_GLUELESS_MESH) {
+ unsigned long score, max_score = 0;
+ int node, max_node = nid;
+
+ hops = sched_domains_numa_levels;
+
+ for_each_online_node(node) {
+ score = group_weight(p, node, hops);
+ if (score > max_score) {
+ max_score = score;
+ max_node = node;
+ }
+ }
+ return max_node;
+ }
+
+ /*
+ * Finding the preferred nid in a system with NUMA backplane
+ * interconnect topology is more involved. The goal is to locate
+ * tasks from numa_groups near each other in the system, and
+ * untangle workloads from different sides of the system. This requires
+ * searching down the hierarchy of node groups, recursively searching
+ * inside the highest scoring group of nodes. The nodemask tricks
+ * keep the complexity of the search down.
+ */
+ nodes = node_online_map;
+ for (hops = sched_domains_numa_levels; hops; hops--) {
+ unsigned long max_faults = 0;
+ nodemask_t max_group;
+ int a, b;
+
+ for_each_node_mask(a, nodes) {
+ unsigned long faults = 0;
+ nodemask_t this_group;
+ nodes_clear(this_group);
+
+ /* Sum group's NUMA faults; includes a==b case. */
+ for_each_node_mask(b, nodes) {
+ if (node_hops(a, b) < hops) {
+ faults += group_faults(p, b);
+ node_set(b, this_group);
+ node_clear(b, nodes);
+ }
+ }
+
+ /* Remember the top group. */
+ if (faults > max_faults) {
+ max_faults = faults;
+ max_group = this_group;
+ /*
+ * subtle: once hops==1 there is just one
+ * node left, which is the preferred nid.
+ */
+ nid = a;
+ }
+ }
+ /* Next round, evaluate the nodes within max_group. */
+ nodes = max_group;
+ }
+ return nid;
+}
+
static void task_numa_placement(struct task_struct *p)
{
int seq, nid, max_nid = -1, max_group_nid = -1;
@@ -1724,7 +1805,7 @@ static void task_numa_placement(struct task_struct *p)
if (p->numa_group) {
update_numa_active_node_mask(p->numa_group);
spin_unlock_irq(group_lock);
- max_nid = max_group_nid;
+ max_nid = preferred_group_nid(p, max_group_nid);
}
if (max_faults) {
--
1.9.3
--
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