In some cases, a host may have an odd topology where there are gaps in
CPU IDs (including between possible CPUs). A common pattern in
schedulers is to perform allocations for every possible CPU ID, such as
creating a per-cpu DSQ. In order to avoid confusing schedulers, let's
track the maximum CPU ID on a system so that we can return the number of
CPU IDs on the system which is inclusive of gaps.
We also update scx_rustland in this change to accommodate the fact that
we no longer export nr_cpus_possible() from TopologyMap.
Signed-off-by: David Vernet <void@manifault.com>
We need a layer of indirection between the stats collection and their
output destinations. Currently, stats are only printed to stdout. Our
goal is to integrate with various telemetry systems such as Prometheus,
StatsD, and custom metric backends like those used by Meta and Netflix.
Importantly, adding a new backend should not require changes to the
existing stats code.
This patch introduces the `metrics` [1] crate, which provides a
framework for defining metrics and publishing them to different
backends.
The initial implementation includes the `dispatched_tasks_count`
metric, tagged with `type`. This metric increments every time a task is
dispatched, emitting the raw count instead of a percentage. A monotonic
counter is the most suitable metric type for this use case, as
percentages can be calculated at query time if needed. Existing logged
metrics continue to print percentages and remain unchanged.
A new flag, `--enable-prometheus`, has been added. When enabled, it
starts a Prometheus endpoint on port 9000 (default is false). This
endpoint allows metrics to be charted in Prometheus or Grafana
dashboards.
Future changes will migrate additional stats to this framework and add
support for other backends.
[1] https://metrics.rs/
Signed-off-by: Jose Fernandez <josef@netflix.com>
This reverts commit 3b7f33ea1b.
I haven't root caused it yet but it's easy to reproduce stall and trigger
the watchdog after the commit - just running stress in multiple cgroups
easily triggers stalls after a couple tens of seconds. Let's revert it for
now.
Use the function can_task1_kick_task2() to replace places which also
checking the comp_preemption_info between two cpus for better
consistency.
Signed-off-by: I Hsin Cheng <richard120310@gmail.com>
It seems that we are not updating `is_idle` when we find an idle CPU
with pick_cpu(), causing unnecessary rescheduling events when
select_cpu() is called.
To resolve this, ensure that the is_idle state is correctly set.
Additionally, always ensure that the task is dispatched to the local DSQ
immediately upon finding (and reserving) an idle CPU.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
- clean up u63 and u32 usages in structures to reduce struct size
- refactoring pick_cpu() for readability
Signed-off-by: Changwoo Min <changwoo@igalia.com>
The required CPU performance (cpuperf) was set to 1024 (100%) when the
CPU utilization was 100%. When a sudden load spike happens, it makes the
system adapt slowly in the next interval.
The new scheme always reserves some headroom in advance, so it sets
cpuperf to 1024 when the CPU utilization reaches to 85%. This gives some
room to adapt in advance.
Signed-off-by: Changwoo Min <changwoo@igalia.com>
Modify the execution sequence before lookup operation for new_domc. If
new_dom_id == NO_DOM_FOUND, lookup operation for new_domc is definitely
going to fail so we don't have to wait until we found that new_domc is
NULL, clearing of cpumask and return operation should be done directly
in that case.
Plus we should avoid using try_lookup_dom_ctx outside the context of
lookup_dom_ctx, as it can keep the interface's consistency.
Signed-off-by: I Hsin Cheng <richard120310@gmail.com>
__COMPAT_scx_bpf_consume_task() wasn't calling scx_bpf_consume_task() at all
and was always returning false. Fix it.
Also, update scx_qmap usage example so that it matches cgroup ID rather than
comm prefix. This should make testing with multiple processes a bit easier.
The rusty dispatch logic is a bit unnecessarily convoluted. Let's clean it up
so that we're just comparing dom ids rather than iterating over arrays nested
inside of pcpu context.
Signed-off-by: David Vernet <void@manifault.com>
Right now, the SCX_WAKE_SYNC logic in rusty is very primitive. We only check to
see if the waker CPU's runqueue is empty, and then migrate the wakee there if
so. We'll want to expand this to be more thorough, such as:
- Checking to see if prev_cpu and waker_cpu share the same LLC when determining
where to migrate
- Check for whether SCX_WAKE_SYNC migration helps load imbalance between cores
- ...
Right now all of that code is just a big blob in the middle of
rusty_select_cpu(). Let's pull it into its own function to improve readability,
and also add some logic to stay on prev_cpu if it shares an LLC with the waker.
Signed-off-by: David Vernet <void@manifault.com>
It seems that task_set_domain() is nearly at the point where it can
cause the verifier to get confused and think that it's exceeding the
number of available instructions per program. I've seen this a number of
times when making small changes to task_set_domain(), and it's once
again happened @vax-r (I-Hsin Cheng) made a small cleanup change to
rusty in https://github.com/sched-ext/scx/pull/362.
To avoid this, let's just make dom_xfer_task() a separate global program
so that the verifier doens't have to worry about branch pruning, etc
depending on what the caller does. This should hopefully make
task_set_domain() (and its callers) much less brittle.
Signed-off-by: David Vernet <void@manifault.com>
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop support for missing sched_ext_ops.dump*(). The
open helper macros now check the existence of the fields and abort if
missing.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop support for missing sched_ext_ops.tick(). The
open helper macros now check the existence of the field and abort if
missing.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop support for missing sched_ext_ops.exit_dump_len.
The open helper macros now check the existence of the field and abort if
missing.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop support for missing sched_ext_ops.hotplug_seq.
The open helper macros now check the existence of the field and abort if
missing.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_scx_bpf_cpuperf_*(). The open helper
macros now check the existence of scx_bpf_cpuperf_cap() and abort if not.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_HAS_CPUMASKS(). The open helper macros
now check the existence of scx_bpf_nr_cpu_ids() and abort if not.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_scx_bpf_dump(). The open helper macros
now check the existence of scx_bpf_dump_bstr() and abort if not.
While at it, reorder the min requirement checks so that newly added ones are
up top to make testing easier.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_scx_bpf_exit(). The open helper macros
now check the existence of scx_bpf_exit_bstr() and abort if not.
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_SCX_KICK_IDLE. The open helper macros
now check the existence of SCX_KICK_IDLE and abort if not.
There's no guarantee that errno is set or contains relevant information when
SCX_BUG() is invoked. This sometimes leads to "task failed successfully"
messages:
# ./scx_simple
../scheds/c/scx_simple.c:72 [scx panic]: Success
SCX_OPS_SWITCH_PARTIAL missing, kernel too old?
While not critical, it's not great. Let's update it so that errno is printed
in parentheses when non-zero and match the tag to the macro name so that
what's printed is the following:
# ./scx_simple
[SCX_BUG] ../scheds/c/scx_simple.c:72
SCX_OPS_SWITCH_PARTIAL missing, kernel too old?
In preparation of upstreaming, let's set the min version requirement at the
released v6.9 kernels. Drop __COMPAT_scx_bpf_switch_call(). The open helper
macros now check the existence of SCX_OPS_SWITCH_PARTIAL and abort if not.
With commit 786ec0c0 ("scx_rlfifo: schedule all tasks in user-space")
all the scheduling decisions are now happening in user-space. This also
bypasses the built-in idle selection logic, delegating the CPU selection
for each task to the user-space scheduler.
The easiest way to distribute tasks across the available CPUs is to
simply allow to dispatch them on the first CPU available.
In this way the scheduler becomes usable in practical scenarios and at
the same time it also maintains its simplicity.
This allows to spread all tasks across all the available CPUs
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Disable all the BPF optimization shortcuts by default and force all
tasks to be processed by the user-space scheduler.
Given that the primary goal of this scheduler is to offer a
straightforward and intuitive example for experimental purposes, this
change simplifies the process for individuals looking to experiment,
allowing them to apply changes to user-space code and quickly observe
the effects, without dealing with any in-kernel optimizations.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
No functional change, just add some comments to better describe the
parameters used when initializing the main BpfScheduler object.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
The bpf_ prefix is used for BPF API. Rename bpf_log2() to u32_log2() and
bpf_log2l() to u64_log2(). While at it, relocate them below compiler
directive helpers.
Keep track of the maximum vruntime among all tasks and flush them if the
difference between the maximum and minimum vruntime exceeds slice_ns.
This helps to prevent excessive starvation, as every task is guaranteed
to be dispatched within the slice_ns time limit.
Tested-by: Tested-by: SoulHarsh007 <harsh.peshwani@outlook.com>
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
These are used in mitosis, but they belong in common code so other
schedulers can do css iteration.
Signed-off-by: Dan Schatzberg <schatzberg.dan@gmail.com>
The old logic for CPU frequency scaling is that the task's CPU
performance target (i.e., target CPU frequency) is checked every tick
interval and updated immediately. Indeed, it samples and updates a
performance target every tick interval. Ultimately, it fluctuates CPU
frequency every tick interval, resulting in less steady performance.
Now, we take a different strategy. The key idea is to increase the
frequency as soon as possible when a task starts running for quick
adoption to load spikes. However, if necessary, it decreases gradually
every tick interval to avoid frequency fluctuations.
In my testing, it shows more stable performance in many workloads
(games, compilation).
Signed-off-by: Changwoo Min <changwoo@igalia.com>
Originally, do_update_sys_stat() simply calculated the system-wide CPU
utilization. Over time, it has evolved to collect all kinds of
system-wide, periodic statistics for decision-making, so it has become
bulky. Now, it is time to refactor it for readability. This commit does
not contain functional changes other than refactoring.
Signed-off-by: Changwoo Min <changwoo@igalia.com>
The periodic CPU utilization routine does a lot of other work now. So we
rename LAVD_CPU_UTIL_INTERVAL_NS to LAVD_SYS_STAT_INTERVAL_NS.
Signed-off-by: Changwoo Min <changwoo@igalia.com>
When a device is suspended and resumed, the suspended duration is added
up to a task's runtime if the task was running on the CPU. After the
resume, the task's runtime is incorrectly long and the scheduler starts
to recognize the system is under heavy load. To avoid such problem, the
suspended duration is measured and substracted from the task's runtime.
Signed-off-by: Changwoo Min <changwoo@igalia.com>
scx_mitosis is a dynamic affinity scheduler which assigns cgroups to
Cells and Cells to discrete sets of CPUs. The number of cells is dynamic
as is the CPU assignment. BPF mostly just does vtime scheduling for each
cell, tracks load, and responds to reconfiguration from userspace.
Userspace makes decisions about how to assign cgroups to cells and cells
to cpus.
This is not yet a complete scheduler, much of the userspace logic is a
placeholder as I experiment with better logic. I also want to add richer
scheduling semantics to userspace, e.g. so that cells can do more
"soft-affinity" rather than the strict partitioning implemented
currently.
Signed-off-by: Dan Schatzberg <schatzberg.dan@gmail.com>
The RESIZE_ARRAY() macro assumes the presence of an in-scope "skel" variable.
This is bad practice and can cause issues in other macros that use it. Let's
update it to explicitly take a skel argument.
Signed-off-by: David Vernet <void@manifault.com>
READ_ONCE()/WRITE_ONCE() macros are added in commit 0932fde, we should
be able to utilize the macros to get around the possibility of data
races for domc->min_vruntime.
Signed-off-by: I Hsin Cheng <richard120310@gmail.com>
- pick_idle_cpu() was putting idle_smtmask that it didn't acquire.
- layered_enqueue() was unnecessarily entering preemption path after finding
an idle CPU.
- No need to test whether scx_bpf_get_idle_cpu/smtmask() return NULL. They
never do.
- Relocate cctx->yielding test into keep_runinng() from its caller.
scx_lavd: core compaction for low power consumption
When system-wide CPU utilization is low, it is very likely all the CPUs
are running with very low utilization. That means all CPUs run with low
clock frequency thanks to dynamic frequency scaling and very frequently
go in and out from/to C-state. That results in low performance (i.e.,
low clock frequency) and high power consumption (i.e., frequent
P-/C-state transition).
The idea of *core compaction* is using less number of CPUs when
system-wide CPU utilization is low. The chosen cores (called "active
cores") will run in higher utilization and higher clock frequency, and
the rest of the cores (called "idle cores") will be in a C-state for a
much longer duration. Thus, the core compaction can achieve higher
performance with lower power consumption.
One potential problem of core compaction is latency spikes when all the
active cores are overloaded. A few techniques are incorporated to solve
this problem.
1) Limit the active CPU core's utilization below a certain limit (say 50%).
2) Do not use the core compaction when the system-wide utilization is
moderate (say 50%).
3) Do not enforce the core compaction for kernel and pinned user-space
tasks since they are manually optimized for performance.
In my experiments, under a wide range of system-wide CPU utilization
(5%—80%), the core compaction reduces 7-30% power consumption without
sacrificing average and 99p tail latency.
Signed-off-by: Changwoo Min <changwoo@igalia.com>
Currently, when preempting, searching for the candidate CPU always starts
from the RR preemption cursor. Let's first try the previous CPU the
preempting task was on as that may have some locality benefits.
When a task is being enqueued outside wakeup path, ops.select_cpu() isn't
called, so we can end up in a situation where a newly enqueued task keeps
waiting in one of the DSQs while there are idle CPUs. Factor out idle CPU
selection path into pick_idle_cpu() and call it from the enqueue path in
such cases. This problem is shared across schedulers and likely needs a more
generic solution in the future.
yield(2) currently gives up the entire slice. Add "yield_ignore" layer
parameter which can modulate the magnitude of yiedling. When 1.0, yields are
completely ignored. 0.5, only half worth of the full slice is given up and
so on.
Currently, a task which yields is treated the same as a task which has run
out its slice. As the budget charged to a task is calculated from wall clock
time, a repeatedly yielding task can stay at the top of the queue for quite
a while hogging the CPU and spiking the number of scheduling events.
Let's add explicit yield support. An yielding task is now always charged the
full slice and not allowed to keep running on the same CPU.
The keep_running path relies on the implicit last task enqueue which makes
the statistics a bit difficult to track. Let's make the enqueue path
comprehensive:
- Set SCX_OPS_ENQ_LAST and handle the last runnable task enqueue explicitly.
- Implement layered_cpu_release() to re-enqueue tasks from a CPU preempted
by a higher pri sched class and handle the re-enqueued tasks explicitly in
layered_enqueue().
- Add more statistics to track all enqueue operations.
When a task exhausts its slice, layered currently doesn't make any effort to
keep it on the same CPU. It dispatches the next task to run and then
enqueues the running one. This leads to suboptimal behaviors. e.g. When this
happens to a task in a preempting layer, the task will most likely find an
idle CPU or a task to preempt and then migrate there causing a completely
unnecessary migration.
This patch layered_dispatch() test whether the current task should keep
running on the CPU and then skip dispatching to keep the task running. This
behavior depends on the implicit local DSQ enqueue mechanism which triggers
when there are no other tasks to run.
- scx_utils: Replace kfunc_exists() with ksym_exists() which doesn't care
about the type of the symbol.
- scx_layered: Fix load failure on kernels >= v6.10-rc due to
scheduler_tick() -> sched_tick rename. Attach the tick fentry function to
either scheduler_tick() or sched_tick().
Make sure to never assign a time slice longer than the default time
slice, that can be used as an upper limit.
This seems to prevent potential stall conditions (reported by the
CachyOS community) when running CPU-intensive workloads, such as:
[ 68.062813] sched_ext: BPF scheduler "rustland" errored, disabling
[ 68.062831] sched_ext: runnable task stall (ollama_llama_se[3312] failed to run for 5.180s)
[ 68.062832] scx_watchdog_workfn+0x154/0x1e0
[ 68.062837] process_one_work+0x18e/0x350
[ 68.062839] worker_thread+0x2fa/0x490
[ 68.062841] kthread+0xd2/0x100
[ 68.062842] ret_from_fork+0x34/0x50
[ 68.062844] ret_from_fork_asm+0x1a/0x30
Fixes: 6f4cd853 ("scx_rustland: introduce virtual time slice")
Tested-by: SoulHarsh007 <harsh.peshwani@outlook.com>
Tested-by: Piotr Gorski <piotrgorski@cachyos.org>
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Overview
========
Currently, a task's time slice is determined based on the total number
of tasks waiting to be scheduled: the more overloaded the system, the
shorter the time slice.
This approach can help to reduce the average wait time of all tasks,
allowing them to progress more slowly, but uniformly, thus providing a
smoother overall system performance.
However, under heavy system load, this approach can lead to very short
time slices distributed among all tasks, causing excessive context
switches that can badly affect soft real-time workloads.
Moreover, the scheduler tends to operate in a bursty manner (tasks are
queued and dispatched in bursts). This can also result in fluctuations
of longer and shorter time slices, depending on the number of tasks
still waiting in the scheduler's queue.
Such behavior can also negatively impact on soft real-time workloads,
such as real-time audio processing.
Virtual time slice
==================
To mitigate this problem, introduce the concept of virtual time slice:
the idea is to evaluate the optimal time slice of a task, considering
the vruntime as a deadline for the task to complete its work before
releasing the CPU.
This is accomplished by calculating the difference between the task's
vruntime and the global current vruntime and use this value as the task
time slice:
task_slice = task_vruntime - min_vruntime
In this way, tasks that "promise" to release the CPU quickly (based on
their previous work pattern) get a much higher priority (due to
vruntime-based scheduling and the additional priority boost for being
classified as interactive), but they are also given a shorter time slice
to complete their work and fulfill their promise of rapidity.
At the same time tasks that are more CPU-intensive get de-prioritized,
but they will tend to have a longer time slice available, reducing in
this way the amount of context switches that can negatively affect their
performance.
In conclusion, latency-sensitive tasks get a high priority and a short
time slice (and they can preempt other tasks), CPU-intensive tasks get
low priority and a long time slice.
Example
=======
Let's consider the following theoretical scenario:
task | time
-----+-----
A | 1
B | 3
C | 6
D | 6
In this case task A represents a short interactive task, task C and D
are CPU-intensive tasks and task B is mainly interactive, but it also
requires some CPU time.
With a uniform time slice, scaled based on the amount of tasks, the
scheduling looks like this (assuming the time slice is 2):
A B B C C D D A B C C D D C C D D
| | | | | | | | |
`---`---`---`-`-`---`---`---`----> 9 context switches
With the virtual time slice the scheduling changes to this:
A B B C C C D A B C C C D D D D D
| | | | | | |
`---`-----`-`-`-`-----`----------> 7 context switches
In the latter scenario, tasks do not receive the same time slice scaled
by the total number of tasks waiting to be scheduled. Instead, their
time slice is adjusted based on their previous CPU usage. Tasks that
used more CPU time are given longer slices and their processing time
tends to be packed together, reducing the amount of context switches.
Meanwhile, latency-sensitive tasks can still be processed as soon as
they need to, because they get a higher priority and they can preempt
other tasks. However, they will get a short time slice, so tasks that
were incorrectly classified as interactive will still be forced to
release the CPU quickly.
Experimental results
====================
This patch has been tested on a on a 8-cores AMD Ryzen 7 5800X 8-Core
Processor (16 threads with SMT), 16GB RAM, NVIDIA GeForce RTX 3070.
The test case involves the usual benchmark of playing a video game while
simultaneously overloading the system with a parallel kernel build
(`make -j32`).
The average frames per second (fps) reported by Steam is used as a
metric for measuring system responsiveness (the higher the better):
Game | before | after | delta |
---------------------------+---------+---------+--------+
Baldur's Gate 3 | 40 fps | 48 fps | +20.0% |
Counter-Strike 2 | 8 fps | 15 fps | +87.5% |
Cyberpunk 2077 | 41 fps | 46 fps | +12.2% |
Terraria | 98 fps | 108 fps | +10.2% |
Team Fortress 2 | 81 fps | 92 fps | +13.6% |
WebGL demo (firefox) [1] | 32 fps | 42 fps | +31.2% |
---------------------------+---------+---------+--------+
Apart from the massive boost with Counter-Strike 2 (that should be taken
with a grain of salt, considering the overall poor performance in both
cases), the virtual time slice seems to systematically provide a boost
in responsiveness of around +10-20% fps.
It also seems to significantly prevent potential audio cracking issues
when the system is massively overloaded: no audio cracking was detected
during the entire run of these tests with the virtual deadline change
applied.
[1] https://webglsamples.org/aquarium/aquarium.html
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Make restart handling with user_exit_info simpler and consistently use the
load and report macros consistently across the rust schedulers. This makes
all schedulers automatically handle auto restarts from CPU hotplug events.
Note that this is necessary even for scx_lavd which has CPU hotplug
operations as CPU hotplug operations which took place between skel open and
scheduler init can still trigger restart.
In cpumask_intersects_domain(), we check whether a given cpumask has any
CPUs in common with the specified domain by looking at the const, static
dom_cpumasks map. This map is only really necessary when creating the
domain struct bpf_cpumask objects at scheduler load time. After that, we
can just use the actual struct bpf_cpumask object embedded in the domain
context. Let's use that and cpumask kfuncs instead.
This allows rusty to load with
https://github.com/sched-ext/sched_ext/pull/216.
Signed-off-by: David Vernet <void@manifault.com>
Commit 23b0bb5f ("scx_rustland: dispatch interactive tasks on any CPU")
allows only interactive tasks to be dispatched on any CPU, enabling them
to quickly use the first idle CPU available. Non-interactive tasks, on
the other hand, are kept on the same CPU as much as possible.
This change deprioritizes CPU-intensive tasks further, but it also helps
to exploit cache locality, while latency-sensitive tasks are dispatched
sooner, improving overall responsiveness, despite the potential
migration cost.
Given this new logic, the built-idle option, which forces all tasks to
be dispatched on the CPU assigned during select_cpu(), no longer offers
significant benefits. It would merely reduce the responsiveness of
interactive tasks.
Therefore, simply remove this option, allowing the scheduler to
determine the target CPU(s) for all tasks based on their nature.
Fixes: 23b0bb5f ("scx_rustland: dispatch interactive tasks on any CPU")
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
In order to prevent compiler from merging or refetching load/store
operations or unwanted reordering, we take the implemetation of
READ_ONCE()/WRITE_ONCE() from kernel sources under
"/include/asm-generic/rwonce.h".
Use WRITE_ONCE() in function flip_sys_cpu_util() to ensure the compiler
doesn't perform unnecessary optimization so the compiler won't make
incorrect assumptions when performing the operation of modifying of bit
flipping.
Signed-off-by: I Hsin Cheng <richard120310@gmail.com>
layered_dispatch() was incorrectly continuing down to the lower priority
DSQs after successfully consuming from HI_FALLBACK_DSQ which can lead to
latency issues. Fix it.
Use the GNU built-in __sync_fetch_and_xor() to perform the XOR operation
on global variable "__sys_cpu_util_idx" to ensure the operations
visibility.
The built-in function "__sync_fetch_and_xor()" can provide both atomic
operation and full memory barrier which is needed by every operation
(especially store operation) on global variables.
Signed-off-by: I Hsin Cheng <richard120310@gmail.com>
Newer sched_ext kernel versions sets the scheduler to schedule all tasks
within the system by default. However, some users are using the old
versions of kernel.
Therefore we call "__COMPAT_scx_bpf_switch_all()" to move all tasks to
"SCHED_EXT" class so scx_central would schedule all tasks by default in
older kernels.
The main reason why custom affinities are tricky for scx_layered is because
if we put a task which doesn't allow all CPUs into a layer's DSQ, it may not
get consumed for an indefinite amount of time. However, this is only true
for confined layers. Both open and grouped layers always consumed from all
CPUs and thus don't have this risk.
Let's allow tasks with custom affinities in open and grouped layers.
- In select_cpu(), don't consider direct dispatching to a local DSQ as
affinity violation even if the target CPU is outside the layer's cpumask
if the layer is open.
- In enqueue(), separate out per-cpu kthread special case into its own
block. Note that this is only applied if the layer is not preempting as a
preempting layer has a higher priority than HI_FALLBACK_DSQ anyway.
- Trigger the LO_FALLBACK_DSQ path for other threads only if the layer is
confined.
- The preemption path now also runs for tasks with a custom affinity in open
and grouped layers. Update it so that it only considers the CPUs in the
preempting task's allowed cpumask.
(cherry picked from commit 82d2f887a4608de61ddf5e15643c10e504a88f7b)
- AFFN_VIOL for per-cpu tasks could be double counted. Once in select_cpu()
and again in enqueue(). Count in select_cpu() only when direct
dispatching.
- Violating tasks were prioritized over non-violating ones because they were
queued on SCX_DSQ_GLOBAL which has priority over all user DSQs. This
doesn't make sense. Let's introduce two fallback DSQs - HI_FALLBACK_DSQ
and LO_FALLBACK_DSQ. HI is used for violating kthreads and LO for
violating user threads. HI is dispatched after preempting layers and LO
after all other layers. This shouldn't change the behavior too much for
kthreads while punshing, rather than rewarding, violating user threads.
(cherry picked from commit 67f69645667ba8a155cae9a9b7e90c055d39e23c)
Dispatch non-interactive tasks on the CPU selected by the built-in idle
selection logic and allow interactive tasks to be dispatched on any CPU.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Do not always assign the maximum time slice to interactive tasks, but
use the same value of the dynamic time slice for everyone.
This seems to prevent potential audio cracking when the system is over
commissioned.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
The option --full-user is provided to delegate *all* scheduling
decisions to the user-space scheduler with no exception, including the
idle selection logic.
Therefore, make this option incompatible with --builtin-idle and
completely bypass the built-in idle selection logic when running in
full-user mode.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Provide a knob in scx_rustland_core to automatically turn the scheduler
into a simple FIFO when the system is underutilized.
This choice is based on the assumption that, in the case of system
underutilization (less tasks running than the amount of available CPUs),
the best scheduling policy is FIFO.
With this option enabled the scheduler starts in FIFO mode. If most of
the CPUs are busy (nr_running >= num_cpus - 1), the scheduler
immediately exits from FIFO mode and starts to apply the logic
implemented by the user-space component. Then the scheduler can switch
back to FIFO if there are no tasks waiting to be scheduled (evaluated
using a moving average).
This option can be enabled/disabled by the user-space scheduler using
the fifo_sched parameter in BpfScheduler: if set, the BPF component will
periodically check for system utilization and switch back and forth to
FIFO mode based on that.
This allows to improve performance of workloads that are using a small
amount of the available CPUs in the system, while still maintaining the
same good level of performance for interactive tasks when the system is
over commissioned.
In certain video games, such as Baldur's Gate 3 or Counter-Strike 2,
running in "normal" system conditions, we can experience a boost in fps
of approximately 4-8% with this change applied.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
This merge included additional commits that were supposed to be included
in a separate pull request and have nothing to do with the fifo-mode
changes.
Therefore, revert the whole pull request and create a separate one with
the correct list of commits required to implement this feature.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Dispatch non-interactive tasks on the CPU selected by the built-in idle
selection logic and allow interactive tasks to be dispatched on any CPU.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Do not always assign the maximum time slice to interactive tasks, but
use the same value of the dynamic time slice for everyone.
This seems to prevent potential audio cracking when the system is over
commissioned.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
Provide a knob in scx_rustland_core to automatically turn the scheduler
into a simple FIFO when the system is underutilized.
This choice is based on the assumption that, in the case of system
underutilization (less tasks running than the amount of available CPUs),
the best scheduling policy is FIFO.
With this option enabled the scheduler starts in FIFO mode. If most of
the CPUs are busy (nr_running >= num_cpus - 1), the scheduler
immediately exits from FIFO mode and starts to apply the logic
implemented by the user-space component. Then the scheduler can switch
back to FIFO if there are no tasks waiting to be scheduled (evaluated
using a moving average).
This option can be enabled/disabled by the user-space scheduler using
the fifo_sched parameter in BpfScheduler: if set, the BPF component will
periodically check for system utilization and switch back and forth to
FIFO mode based on that.
This allows to improve performance of workloads that are using a small
amount of the available CPUs in the system, while still maintaining the
same good level of performance for interactive tasks when the system is
over commissioned.
In certain video games, such as Baldur's Gate 3 or Counter-Strike 2,
running in "normal" system conditions, we can experience a boost in fps
of approximately 4-8% with this change applied.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
scx_simple is a basic scheduler that does either basic vtime, or global
FIFO, scheduling. At first glance, it may be confusing why we create a
separate DSQ rather than just using SCX_DSQ_GLOBAL. Let's add a comment
explaining the reason for this, so that users that are going over
scx_simple as an example scheduler don't get confused.
Signed-off-by: David Vernet <void@manifault.com>
Report the amount of running tasks to stdout. This value also represents
the amount of active CPUs that are currently executing a task.
Signed-off-by: Andrea Righi <andrea.righi@canonical.com>
