Re: [PATCH 0/7] mm/damon: auto-tune DAMOS for NUMA setups including tiered memory

From: Yunjeong Mun
Date: Fri May 02 2025 - 03:39:11 EST


Hi SeongJae, thanks for your helpful auto-tuning patchset, which optimizes
the ease of used of DAMON on tiered memory systems. I have tested demotion
mechanism with a microbenchmark and would like to share the result.

On Sun, 20 Apr 2025 12:40:23 -0700 SeongJae Park <sj@xxxxxxxxxx> wrote:
[..snip..]

> Utilizing DAMON for memory tiering usually requires manual tuning and/
> Evaluation Limitations
> ----------------------
>
> As mentioned above, this evaluation shows only comparison of promotion
> mechanisms. DAMON-based tiering is recommended to be used together with
> reclaim-based demotion as a faster backup under significant memory
> pressure, though.
>
> >From some perspective, the modified version of Taobench may seems making
> the picture distorted too much. It would be better to evaluate with
> more realistic workload, or more finely tuned micro benchmarks.
>

Hardware.
- Node 0: 512GB DRAM
- Node 1: 0GB (memoryless)
- Node 2: 96GB CXL memory

Kernel
- RFC patchset on top of v6.14-rc7
https://lore.kernel.org/damon/20250320053937.57734-1-sj@xxxxxxxxxx/

Workload
- Microbenchmark creates hot and cold regions based on the specified parameters.
$ ./hot_cold 1g 100g
It repetitively performs memset on a 1GB hot region, but only performs memset
once on a 100GB cold region.

DAMON setup
- My intention is to demote most of all regions of cold memory from node 0 to
node 2. So, damo start with below yaml configuration:
...
# damo v2.7.2 from https://git.kernel.org/pub/scm/linux/kernel/git/sj/damo.git/
schemes:
- action: migrate_cold
target_nid: 2
...
apply_interval_us: 0
quotas:
time_ms: 0 s
sz_bytes: 0 GiB
reset_interval_ms: 6 s
goals:
- metric: node_mem_free_bp
target_value: 99%
nid: 0
current_value: 1
effective_sz_bytes: 0 B
...

Results
I've run the hot_cold benchmark for approximately 2 days, and have monitored
the memory usage of each node as follows:

$ numastat -c -p hot_cold
Per-node process memory usage (in MBs)
PID Node 0 Node 1 Node 2 Node 3 Total
--------------- ------ ------ ------ ------ ------
2689746 (watch) 2 0 0 1 3
2690067 (hot_col 100122 0 3303 0 103426
3770656 (watch) 0 0 0 1 1
3770657 (sh) 2 0 0 0 2
--------------- ------ ------ ------ ------ ------
Total 100127 0 3303 1 103432

I expected that most of cold data from node 0 would be demoted to node 2, but it isn't.
In this situation, DAMON's variables are displayed as follows:

[2067202.863431] totalram 131938449 free 84504526 used 47433923 numerator 84504526
[2067202.863446] goal->current_value: 6404
[2067202.863452] score: 6468
[2067202.863455] quota->esz: 1844674407370955

`score` 6468 means the goal hasn't been achieved yet, and the `quota->esz`,
which specifies the aggressiveness of the demotion action, has reached
ULONG_MAX. However, the demotion has not occured.

[..snip..]

I think there may be some errors or misunderstanding in my experiment.
I would be grateful for any insights or feedback you might have regarding these
results.

Best Regards,
Yunjeong