include/linux/cgroup_dmem.h | 10 +++++++ include/linux/resume_user_mode.h | 2 ++ kernel/cgroup/dmem.c | 60 +++++++++++++++++++++++++++++++++++++++- 3 files changed, 71 insertions(+), 1 deletion(-)
Introduce the "high" soft limit for the dmem cgroup v2 controller.
When a cgroup's device memory usage exceeds its high limit, tasks
belonging to that cgroup are throttled by being forced into a sleep
before returning to user space, instead of being failed outright
as with the "max" limit.
Key changes:
- Add high counter configuration to dmem_cgroup_pool.
- Add over-high check in the try_charge path and set TIF_NOTIFY_RESUME.
- Inject the dmem throttling handler into resume_user_mode_work.
- Implement the handler to perform a 100ms interruptible sleep for
over-limit tasks.
This mechanism provides smoother over-subscription support for device
memory resources.
Signed-off-by: Qiliang Yuan <realwujing@gmail.com>
---
This series introduces the "high" soft limit and associated task
throttling mechanism to the dmem cgroup v2 controller.
The device memory (VRAM) management currently only supports hard limits
(max), which leads to immediate allocation failures when reached. This
can be disruptive for GPU-bound AI workloads. By introducing a soft
limit, we allow cgroups to exceed their quota temporarily while
applying backpressure via task throttling before the process returns
to user space.
The mechanism is inspired by the memory cgroup's high limit:
- When usage > high, the task is marked with TIF_NOTIFY_RESUME.
- Upon returning to user space, it triggers a 100ms sleep.
- This provides a smoother over-subscription model for GPU resources.
Qiliang Yuan (1):
cgroup/dmem: implement dmem.high soft limit and throttling
---
To: Maarten Lankhorst <dev@lankhorst.se>
To: Maxime Ripard <mripard@kernel.org>
To: Natalie Vock <natalie.vock@gmx.de>
To: Tejun Heo <tj@kernel.org>
To: Johannes Weiner <hannes@cmpxchg.org>
To: Michal Koutný <mkoutny@suse.com>
Cc: cgroups@vger.kernel.org
Cc: dri-devel@lists.freedesktop.org
Cc: linux-kernel@vger.kernel.org
---
include/linux/cgroup_dmem.h | 10 +++++++
include/linux/resume_user_mode.h | 2 ++
kernel/cgroup/dmem.c | 60 +++++++++++++++++++++++++++++++++++++++-
3 files changed, 71 insertions(+), 1 deletion(-)
diff --git a/include/linux/cgroup_dmem.h b/include/linux/cgroup_dmem.h
index dd4869f1d736e..d58972de7c910 100644
--- a/include/linux/cgroup_dmem.h
+++ b/include/linux/cgroup_dmem.h
@@ -21,6 +21,13 @@ int dmem_cgroup_try_charge(struct dmem_cgroup_region *region, u64 size,
struct dmem_cgroup_pool_state **ret_pool,
struct dmem_cgroup_pool_state **ret_limit_pool);
void dmem_cgroup_uncharge(struct dmem_cgroup_pool_state *pool, u64 size);
+void __dmem_cgroup_handle_over_high(void);
+
+static inline void dmem_cgroup_handle_over_high(void)
+{
+ __dmem_cgroup_handle_over_high();
+}
+
bool dmem_cgroup_state_evict_valuable(struct dmem_cgroup_pool_state *limit_pool,
struct dmem_cgroup_pool_state *test_pool,
bool ignore_low, bool *ret_hit_low);
@@ -51,6 +58,9 @@ static inline int dmem_cgroup_try_charge(struct dmem_cgroup_region *region, u64
static inline void dmem_cgroup_uncharge(struct dmem_cgroup_pool_state *pool, u64 size)
{ }
+static inline void dmem_cgroup_handle_over_high(void)
+{ }
+
static inline
bool dmem_cgroup_state_evict_valuable(struct dmem_cgroup_pool_state *limit_pool,
struct dmem_cgroup_pool_state *test_pool,
diff --git a/include/linux/resume_user_mode.h b/include/linux/resume_user_mode.h
index bf92227c78d0d..afcab20998c41 100644
--- a/include/linux/resume_user_mode.h
+++ b/include/linux/resume_user_mode.h
@@ -8,6 +8,7 @@
#include <linux/memcontrol.h>
#include <linux/rseq.h>
#include <linux/blk-cgroup.h>
+#include <linux/cgroup_dmem.h>
/**
* set_notify_resume - cause resume_user_mode_work() to be called
@@ -58,6 +59,7 @@ static inline void resume_user_mode_work(struct pt_regs *regs)
mem_cgroup_handle_over_high(GFP_KERNEL);
blkcg_maybe_throttle_current();
+ dmem_cgroup_handle_over_high();
rseq_handle_slowpath(regs);
}
diff --git a/kernel/cgroup/dmem.c b/kernel/cgroup/dmem.c
index 4753a67d0f0f2..f77c692b887b1 100644
--- a/kernel/cgroup/dmem.c
+++ b/kernel/cgroup/dmem.c
@@ -15,6 +15,7 @@
#include <linux/page_counter.h>
#include <linux/parser.h>
#include <linux/refcount.h>
+#include <linux/resume_user_mode.h>
#include <linux/rculist.h>
#include <linux/slab.h>
@@ -156,6 +157,12 @@ set_resource_low(struct dmem_cgroup_pool_state *pool, u64 val)
page_counter_set_low(&pool->cnt, val);
}
+static void
+set_resource_high(struct dmem_cgroup_pool_state *pool, u64 val)
+{
+ page_counter_set_high(&pool->cnt, val);
+}
+
static void
set_resource_max(struct dmem_cgroup_pool_state *pool, u64 val)
{
@@ -167,6 +174,11 @@ static u64 get_resource_low(struct dmem_cgroup_pool_state *pool)
return pool ? READ_ONCE(pool->cnt.low) : 0;
}
+static u64 get_resource_high(struct dmem_cgroup_pool_state *pool)
+{
+ return pool ? READ_ONCE(pool->cnt.high) : 0;
+}
+
static u64 get_resource_min(struct dmem_cgroup_pool_state *pool)
{
return pool ? READ_ONCE(pool->cnt.min) : 0;
@@ -186,6 +198,7 @@ static void reset_all_resource_limits(struct dmem_cgroup_pool_state *rpool)
{
set_resource_min(rpool, 0);
set_resource_low(rpool, 0);
+ set_resource_high(rpool, PAGE_COUNTER_MAX);
set_resource_max(rpool, PAGE_COUNTER_MAX);
}
@@ -685,6 +698,9 @@ int dmem_cgroup_try_charge(struct dmem_cgroup_region *region, u64 size,
goto err;
}
+ if (page_counter_read(&pool->cnt) > READ_ONCE(pool->cnt.high))
+ set_notify_resume(current);
+
/* On success, reference from get_current_dmemcs is transferred to *ret_pool */
*ret_pool = pool;
return 0;
@@ -835,13 +851,24 @@ static ssize_t dmem_cgroup_region_low_write(struct kernfs_open_file *of,
return dmemcg_limit_write(of, buf, nbytes, off, set_resource_low);
}
+static int dmem_cgroup_region_high_show(struct seq_file *sf, void *v)
+{
+ return dmemcg_limit_show(sf, v, get_resource_high);
+}
+
+static ssize_t dmem_cgroup_region_high_write(struct kernfs_open_file *of,
+ char *buf, size_t nbytes, loff_t off)
+{
+ return dmemcg_limit_write(of, buf, nbytes, off, set_resource_high);
+}
+
static int dmem_cgroup_region_max_show(struct seq_file *sf, void *v)
{
return dmemcg_limit_show(sf, v, get_resource_max);
}
static ssize_t dmem_cgroup_region_max_write(struct kernfs_open_file *of,
- char *buf, size_t nbytes, loff_t off)
+ char *buf, size_t nbytes, loff_t off)
{
return dmemcg_limit_write(of, buf, nbytes, off, set_resource_max);
}
@@ -868,6 +895,12 @@ static struct cftype files[] = {
.seq_show = dmem_cgroup_region_low_show,
.flags = CFTYPE_NOT_ON_ROOT,
},
+ {
+ .name = "high",
+ .write = dmem_cgroup_region_high_write,
+ .seq_show = dmem_cgroup_region_high_show,
+ .flags = CFTYPE_NOT_ON_ROOT,
+ },
{
.name = "max",
.write = dmem_cgroup_region_max_write,
@@ -877,6 +910,31 @@ static struct cftype files[] = {
{ } /* Zero entry terminates. */
};
+void __dmem_cgroup_handle_over_high(void)
+{
+ struct dmemcg_state *dmemcs;
+ struct dmem_cgroup_pool_state *pool;
+
+ dmemcs = css_to_dmemcs(task_get_css(current, dmem_cgrp_id));
+ if (!dmemcs)
+ return;
+
+ rcu_read_lock();
+ list_for_each_entry_rcu(pool, &dmemcs->pools, css_node) {
+ unsigned long usage, high;
+
+ usage = page_counter_read(&pool->cnt);
+ high = READ_ONCE(pool->cnt.high);
+
+ if (usage > high)
+ schedule_timeout_killable(HZ / 10);
+ }
+ rcu_read_unlock();
+
+ css_put(&dmemcs->css);
+}
+EXPORT_SYMBOL_GPL(__dmem_cgroup_handle_over_high);
+
struct cgroup_subsys dmem_cgrp_subsys = {
.css_alloc = dmemcs_alloc,
.css_free = dmemcs_free,
---
base-commit: ab5fce87a778cb780a05984a2ca448f2b41aafbf
change-id: 20260519-feature-dmem-high-16997148dc38
Best regards,
--
Qiliang Yuan <realwujing@gmail.com>
On 5/20/26 08:07, Qiliang Yuan wrote: > Introduce the "high" soft limit for the dmem cgroup v2 controller. > When a cgroup's device memory usage exceeds its high limit, tasks > belonging to that cgroup are throttled by being forced into a sleep > before returning to user space, instead of being failed outright > as with the "max" limit. > > Key changes: > - Add high counter configuration to dmem_cgroup_pool. > - Add over-high check in the try_charge path and set TIF_NOTIFY_RESUME. > - Inject the dmem throttling handler into resume_user_mode_work. > - Implement the handler to perform a 100ms interruptible sleep for > over-limit tasks. Interesting proposal, but inserting sleeps on allocation is never a good idea and doesn't work like you might think it does. In graphics driver land, lots of random things may result in buffer allocation functions being called. Whenever TTM determines some buffer needs to be physically moved (most often during VRAM contention, but also as a result of pinning buffers for scanout, etc etc), dmem cgroup pools are charged/uncharged in accordance with the change in buffer residency. Sleeping in a charge/uncharge path means that in the worst case, a task will be put to sleep over and over again for exceeding its high limit just once. Most critically, submit ioctls typically go over the task's entire working set and call ttm_bo_validate() to make sure the buffer is accessible by the GPU, since paging things in on fault is not available in many consumer GPUs. Your approach could lead to every single submission sleeping for at least 100ms, thus permanently destroying performance. Maarten's suggestion of preferentially evicting memory that is over the high limit sounds like a better approach. (Also, did you use AI for this? Please disclose your AI usage as per kernel guidelines if so.) Best, Natalie
Hi Natalie, On Thu, May 21, 2026 at 10:52 AM Natalie Vock wrote: > Interesting proposal, but inserting sleeps on allocation is never a good > idea and doesn't work like you might think it does. In graphics driver > land, lots of random things may result in buffer allocation functions > being called. [...] > Your approach could lead to every single > submission sleeping for at least 100ms, thus permanently destroying > performance. Thank you very much for the detailed explanation of the impact on TTM and Submit IOCTLs. You are absolutely right—injecting sleeps into the charge path, which is hit frequently during buffer validation and residency changes, would indeed be catastrophic for GPU performance. > Maarten's suggestion of preferentially evicting memory that is over the > high limit sounds like a better approach. I agree. Blocking the submission pipeline is not the right way to apply backpressure. I will abandon the current sleep-on-allocation approach and focus on implemented prioritized eviction as you and Maarten suggested. This ensures that reaching the "high" limit triggers a meaningful reclaim action rather than just stalling the GPU pipeline. Best regards, Qiliang
Hello Qiliang, Den 2026-05-20 kl. 08:07, skrev Qiliang Yuan: > Introduce the "high" soft limit for the dmem cgroup v2 controller. > When a cgroup's device memory usage exceeds its high limit, tasks > belonging to that cgroup are throttled by being forced into a sleep > before returning to user space, instead of being failed outright > as with the "max" limit. > > Key changes: > - Add high counter configuration to dmem_cgroup_pool. > - Add over-high check in the try_charge path and set TIF_NOTIFY_RESUME. > - Inject the dmem throttling handler into resume_user_mode_work. > - Implement the handler to perform a 100ms interruptible sleep for > over-limit tasks. > > This mechanism provides smoother over-subscription support for device > memory resources. > > Signed-off-by: Qiliang Yuan <realwujing@gmail.com> > --- > This series introduces the "high" soft limit and associated task > throttling mechanism to the dmem cgroup v2 controller. > > The device memory (VRAM) management currently only supports hard limits > (max), which leads to immediate allocation failures when reached. This > can be disruptive for GPU-bound AI workloads. By introducing a soft > limit, we allow cgroups to exceed their quota temporarily while > applying backpressure via task throttling before the process returns > to user space. > > The mechanism is inspired by the memory cgroup's high limit: > - When usage > high, the task is marked with TIF_NOTIFY_RESUME. > - Upon returning to user space, it triggers a 100ms sleep. > - This provides a smoother over-subscription model for GPU resources. > > Qiliang Yuan (1): > > cgroup/dmem: implement dmem.high soft limit and throttling > --- > To: Maarten Lankhorst <dev@lankhorst.se> > To: Maxime Ripard <mripard@kernel.org> > To: Natalie Vock <natalie.vock@gmx.de> > To: Tejun Heo <tj@kernel.org> > To: Johannes Weiner <hannes@cmpxchg.org> > To: Michal Koutný <mkoutny@suse.com> > Cc: cgroups@vger.kernel.org > Cc: dri-devel@lists.freedesktop.org > Cc: linux-kernel@vger.kernel.org > --- I think the concept of allowing userspace to throttle on high is interesting. It's the approach I'm more worried about. I believe that it's better if we punish exceeding their high limit by preferentially evicting those. It would make eviction run in 3 passes on the affected cgroup tree: - Round 1: Clients above their 'high' limit - Round 2: Clients above their 'low/min' limits - Round 3: Clients at or below their 'low' limit And the same client's cgroup, below 'min' limit as well. I'm open for other ideas as well. Perhaps a flag that would allow allocation or binding to an address space to fail if it would need to evict, or a notification sent to the affected client that they went over high. Have you tried any other approaches before this one? Kind regards, ~Maarten Lankhorst
Hello Maarten, On Thu, May 21, 2026 at 09:45 AM Maarten Lankhorst wrote: > It's the approach I'm more worried about. I believe that it's > better if we punish exceeding their high limit by preferentially > evicting those. > > It would make eviction run in 3 passes on the affected cgroup tree: > - Round 1: Clients above their 'high' limit > - Round 2: Clients above their 'low/min' limits > - Round 3: Clients at or below their 'low' limit Thank you for this concrete suggestion. This 3-pass eviction model is exactly what's needed to make the dmem soft limit effective. It addresses the core problem of providing a viable "recovery action" when the limit is reached. By integrating these thresholds directly into the TTM/dmem eviction weight calculation, we can achieve a more natural over-subscription model. I will rework the series for v2 to incorporate this hierarchy-aware eviction logic. Kind regards, ~Qiliang
Hello, On Wed, May 20, 2026 at 02:07:20PM +0800, Qiliang Yuan wrote: ... > This series introduces the "high" soft limit and associated task > throttling mechanism to the dmem cgroup v2 controller. > > The device memory (VRAM) management currently only supports hard limits > (max), which leads to immediate allocation failures when reached. This > can be disruptive for GPU-bound AI workloads. By introducing a soft > limit, we allow cgroups to exceed their quota temporarily while > applying backpressure via task throttling before the process returns > to user space. > > The mechanism is inspired by the memory cgroup's high limit: > - When usage > high, the task is marked with TIF_NOTIFY_RESUME. > - Upon returning to user space, it triggers a 100ms sleep. > - This provides a smoother over-subscription model for GPU resources. I'm not sure about complicating dmem control model without implementing reclaim. What are we slowing them down for if the only recovery action is killing them? Thanks. -- tejun
Hello Tejun, On Wed, May 20, 2026 at 09:52 AM Tejun Heo wrote: > I'm not sure about complicating dmem control model without implementing > reclaim. What are we slowing them down for if the only recovery action is > killing them? Thank you for the feedback. Your point about the lack of a reclaim path is well-taken. Simple throttling without a way to recover resources is indeed incomplete and inconsistent with the cgroup v2 philosophy. To address this from several perspectives in v2: 1. Recovery Path: As suggested by Maarten Lankhorst, we will pivot to a reclaim-centric model. Exceeding `dmem.high` will trigger a prioritized eviction process, where memory objects from over-limit cgroups are targeted first for reclaim. This provides the meaningful "recovery action" you mentioned. 2. Backpressure: Throttling will then serve as a secondary tool to synchronize user-space demand with the kernel's reclaim speed, preventing bursty workloads from overwhelming the system before reclaim can finish. 3. Graceful Degradation: For GPU compute jobs, this model provides a managed "pressure point" that allows transient peaks to be handled via rebalancing rather than immediate, fatal allocation failures (max/OOM). The goal for v2 is to achieve convergence with the `memory.high` model, pairing prioritized reclaim with backpressure. Thanks, Qiliang
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