From: Michal Hocko <mhocko@suse.com>
To: Johannes Weiner <hannes@cmpxchg.org>
Cc: Gregory Price <gourry.memverge@gmail.com>,
linux-kernel@vger.kernel.org, linux-cxl@vger.kernel.org,
linux-mm@kvack.org, ying.huang@intel.com,
akpm@linux-foundation.org, aneesh.kumar@linux.ibm.com,
weixugc@google.com, apopple@nvidia.com, tim.c.chen@intel.com,
dave.hansen@intel.com, shy828301@gmail.com,
gregkh@linuxfoundation.org, rafael@kernel.org,
Gregory Price <gregory.price@memverge.com>
Subject: Re: [RFC PATCH v3 0/4] Node Weights and Weighted Interleave
Date: Tue, 31 Oct 2023 16:56:27 +0100 [thread overview]
Message-ID: <jgh5b5bm73qe7m3qmnsjo3drazgfaix3ycqmom5u6tfp6hcerj@ij4vftrutvrt> (raw)
In-Reply-To: <20231031152142.GA3029315@cmpxchg.org>
On Tue 31-10-23 11:21:42, Johannes Weiner wrote:
> On Tue, Oct 31, 2023 at 10:53:41AM +0100, Michal Hocko wrote:
> > On Mon 30-10-23 20:38:06, Gregory Price wrote:
> > > This patchset implements weighted interleave and adds a new sysfs
> > > entry: /sys/devices/system/node/nodeN/accessM/il_weight.
> > >
> > > The il_weight of a node is used by mempolicy to implement weighted
> > > interleave when `numactl --interleave=...` is invoked. By default
> > > il_weight for a node is always 1, which preserves the default round
> > > robin interleave behavior.
> > >
> > > Interleave weights may be set from 0-100, and denote the number of
> > > pages that should be allocated from the node when interleaving
> > > occurs.
> > >
> > > For example, if a node's interleave weight is set to 5, 5 pages
> > > will be allocated from that node before the next node is scheduled
> > > for allocations.
> >
> > I find this semantic rather weird TBH. First of all why do you think it
> > makes sense to have those weights global for all users? What if
> > different applications have different view on how to spred their
> > interleaved memory?
> >
> > I do get that you might have a different tiers with largerly different
> > runtime characteristics but why would you want to interleave them into a
> > single mapping and have hard to predict runtime behavior?
> >
> > [...]
> > > In this way it becomes possible to set an interleaving strategy
> > > that fits the available bandwidth for the devices available on
> > > the system. An example system:
> > >
> > > Node 0 - CPU+DRAM, 400GB/s BW (200 cross socket)
> > > Node 1 - CPU+DRAM, 400GB/s BW (200 cross socket)
> > > Node 2 - CXL Memory. 64GB/s BW, on Node 0 root complex
> > > Node 3 - CXL Memory. 64GB/s BW, on Node 1 root complex
> > >
> > > In this setup, the effective weights for nodes 0-3 for a task
> > > running on Node 0 may be [60, 20, 10, 10].
> > >
> > > This spreads memory out across devices which all have different
> > > latency and bandwidth attributes at a way that can maximize the
> > > available resources.
> >
> > OK, so why is this any better than not using any memory policy rely
> > on demotion to push out cold memory down the tier hierarchy?
> >
> > What is the actual real life usecase and what kind of benefits you can
> > present?
>
> There are two things CXL gives you: additional capacity and additional
> bus bandwidth.
>
> The promotion/demotion mechanism is good for the capacity usecase,
> where you have a nice hot/cold gradient in the workingset and want
> placement accordingly across faster and slower memory.
>
> The interleaving is useful when you have a flatter workingset
> distribution and poorer access locality. In that case, the CPU caches
> are less effective and the workload can be bus-bound. The workload
> might fit entirely into DRAM, but concentrating it there is
> suboptimal. Fanning it out in proportion to the relative performance
> of each memory tier gives better resuls.
>
> We experimented with datacenter workloads on such machines last year
> and found significant performance benefits:
>
> https://lore.kernel.org/linux-mm/YqD0%2FtzFwXvJ1gK6@cmpxchg.org/T/
Thanks, this is a useful insight.
> This hopefully also explains why it's a global setting. The usecase is
> different from conventional NUMA interleaving, which is used as a
> locality measure: spread shared data evenly between compute
> nodes. This one isn't about locality - the CXL tier doesn't have local
> compute. Instead, the optimal spread is based on hardware parameters,
> which is a global property rather than a per-workload one.
Well, I am not convinced about that TBH. Sure it is probably a good fit
for this specific CXL usecase but it just doesn't fit into many others I
can think of - e.g. proportional use of those tiers based on the
workload - you get what you pay for.
Is there any specific reason for not having a new interleave interface
which defines weights for the nodemask? Is this because the policy
itself is very dynamic or is this more driven by simplicity of use?
--
Michal Hocko
SUSE Labs
next prev parent reply other threads:[~2023-10-31 15:56 UTC|newest]
Thread overview: 40+ messages / expand[flat|nested] mbox.gz Atom feed top
2023-10-31 0:38 Gregory Price
2023-10-31 0:38 ` [RFC PATCH v3 1/4] base/node.c: initialize the accessor list before registering Gregory Price
2023-10-31 0:38 ` [RFC PATCH v3 2/4] node: add accessors to sysfs when nodes are created Gregory Price
2023-10-31 0:38 ` [RFC PATCH v3 3/4] node: add interleave weights to node accessor Gregory Price
2023-10-31 0:38 ` [RFC PATCH v3 4/4] mm/mempolicy: modify interleave mempolicy to use node weights Gregory Price
2023-10-31 17:52 ` [EXT] " Srinivasulu Thanneeru
2023-10-31 18:23 ` Srinivasulu Thanneeru
2023-10-31 9:53 ` [RFC PATCH v3 0/4] Node Weights and Weighted Interleave Michal Hocko
2023-10-31 15:21 ` Johannes Weiner
2023-10-31 15:56 ` Michal Hocko [this message]
2023-10-31 4:27 ` Gregory Price
2023-11-01 13:45 ` Michal Hocko
2023-11-01 16:58 ` Gregory Price
2023-11-02 9:47 ` Michal Hocko
2023-11-02 3:18 ` Gregory Price
2023-11-03 7:45 ` Huang, Ying
2023-11-03 14:16 ` Jonathan Cameron
2023-11-06 3:20 ` Huang, Ying
2023-11-03 9:56 ` Michal Hocko
2023-11-02 18:21 ` Gregory Price
2023-11-03 16:59 ` Michal Hocko
2023-11-02 2:01 ` Huang, Ying
2023-10-31 16:22 ` Johannes Weiner
2023-10-31 4:29 ` Gregory Price
2023-11-01 2:34 ` Huang, Ying
2023-11-01 9:29 ` Ravi Jonnalagadda
2023-11-02 6:41 ` Huang, Ying
2023-11-02 9:35 ` Ravi Jonnalagadda
2023-11-02 14:13 ` Jonathan Cameron
2023-11-03 7:00 ` Huang, Ying
2023-11-01 13:56 ` Michal Hocko
2023-11-02 6:21 ` Huang, Ying
2023-11-02 9:30 ` Michal Hocko
2023-11-01 2:21 ` Huang, Ying
2023-11-01 14:01 ` Michal Hocko
2023-11-02 6:11 ` Huang, Ying
2023-11-02 9:28 ` Michal Hocko
2023-11-03 7:10 ` Huang, Ying
2023-11-03 9:39 ` Michal Hocko
2023-11-06 5:08 ` Huang, Ying
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