From: "Huang, Ying" <ying.huang@intel.com>
To: Alistair Popple <apopple@nvidia.com>
Cc: Andrew Morton <akpm@linux-foundation.org>, <linux-mm@kvack.org>,
<linux-kernel@vger.kernel.org>, <linux-cxl@vger.kernel.org>,
<nvdimm@lists.linux.dev>, <linux-acpi@vger.kernel.org>,
"Aneesh Kumar K . V" <aneesh.kumar@linux.ibm.com>,
Wei Xu <weixugc@google.com>,
Dan Williams <dan.j.williams@intel.com>,
Dave Hansen <dave.hansen@intel.com>,
"Davidlohr Bueso" <dave@stgolabs.net>,
Johannes Weiner <hannes@cmpxchg.org>,
"Jonathan Cameron" <Jonathan.Cameron@huawei.com>,
Michal Hocko <mhocko@kernel.org>, Yang Shi <shy828301@gmail.com>,
Rafael J Wysocki <rafael.j.wysocki@intel.com>,
Dave Jiang <dave.jiang@intel.com>
Subject: Re: [PATCH RESEND 1/4] memory tiering: add abstract distance calculation algorithms management
Date: Tue, 22 Aug 2023 06:50:51 +0800 [thread overview]
Message-ID: <87il98c8ms.fsf@yhuang6-desk2.ccr.corp.intel.com> (raw)
In-Reply-To: <87cyzgwrys.fsf@nvdebian.thelocal> (Alistair Popple's message of "Mon, 21 Aug 2023 21:26:24 +1000")
Alistair Popple <apopple@nvidia.com> writes:
> "Huang, Ying" <ying.huang@intel.com> writes:
>
>> Hi, Alistair,
>>
>> Sorry for late response. Just come back from vacation.
>
> Ditto for this response :-)
>
> I see Andrew has taken this into mm-unstable though, so my bad for not
> getting around to following all this up sooner.
>
>> Alistair Popple <apopple@nvidia.com> writes:
>>
>>> "Huang, Ying" <ying.huang@intel.com> writes:
>>>
>>>> Alistair Popple <apopple@nvidia.com> writes:
>>>>
>>>>> "Huang, Ying" <ying.huang@intel.com> writes:
>>>>>
>>>>>> Alistair Popple <apopple@nvidia.com> writes:
>>>>>>
>>>>>>>>>> While other memory device drivers can use the general notifier chain
>>>>>>>>>> interface at the same time.
>>>>>>>
>>>>>>> How would that work in practice though? The abstract distance as far as
>>>>>>> I can tell doesn't have any meaning other than establishing preferences
>>>>>>> for memory demotion order. Therefore all calculations are relative to
>>>>>>> the rest of the calculations on the system. So if a driver does it's own
>>>>>>> thing how does it choose a sensible distance? IHMO the value here is in
>>>>>>> coordinating all that through a standard interface, whether that is HMAT
>>>>>>> or something else.
>>>>>>
>>>>>> Only if different algorithms follow the same basic principle. For
>>>>>> example, the abstract distance of default DRAM nodes are fixed
>>>>>> (MEMTIER_ADISTANCE_DRAM). The abstract distance of the memory device is
>>>>>> in linear direct proportion to the memory latency and inversely
>>>>>> proportional to the memory bandwidth. Use the memory latency and
>>>>>> bandwidth of default DRAM nodes as base.
>>>>>>
>>>>>> HMAT and CDAT report the raw memory latency and bandwidth. If there are
>>>>>> some other methods to report the raw memory latency and bandwidth, we
>>>>>> can use them too.
>>>>>
>>>>> Argh! So we could address my concerns by having drivers feed
>>>>> latency/bandwidth numbers into a standard calculation algorithm right?
>>>>> Ie. Rather than having drivers calculate abstract distance themselves we
>>>>> have the notifier chains return the raw performance data from which the
>>>>> abstract distance is derived.
>>>>
>>>> Now, memory device drivers only need a general interface to get the
>>>> abstract distance from the NUMA node ID. In the future, if they need
>>>> more interfaces, we can add them. For example, the interface you
>>>> suggested above.
>>>
>>> Huh? Memory device drivers (ie. dax/kmem.c) don't care about abstract
>>> distance, it's a meaningless number. The only reason they care about it
>>> is so they can pass it to alloc_memory_type():
>>>
>>> struct memory_dev_type *alloc_memory_type(int adistance)
>>>
>>> Instead alloc_memory_type() should be taking bandwidth/latency numbers
>>> and the calculation of abstract distance should be done there. That
>>> resovles the issues about how drivers are supposed to devine adistance
>>> and also means that when CDAT is added we don't have to duplicate the
>>> calculation code.
>>
>> In the current design, the abstract distance is the key concept of
>> memory types and memory tiers. And it is used as interface to allocate
>> memory types. This provides more flexibility than some other interfaces
>> (e.g. read/write bandwidth/latency). For example, in current
>> dax/kmem.c, if HMAT isn't available in the system, the default abstract
>> distance: MEMTIER_DEFAULT_DAX_ADISTANCE is used. This is still useful
>> to support some systems now. On a system without HMAT/CDAT, it's
>> possible to calculate abstract distance from ACPI SLIT, although this is
>> quite limited. I'm not sure whether all systems will provide read/write
>> bandwith/latency data for all memory devices.
>>
>> HMAT and CDAT or some other mechanisms may provide the read/write
>> bandwidth/latency data to be used to calculate abstract distance. For
>> them, we can provide a shared implementation in mm/memory-tiers.c to map
>> from read/write bandwith/latency to the abstract distance. Can this
>> solve your concerns about the consistency among algorithms? If so, we
>> can do that when we add the second algorithm that needs that.
>
> I guess it would address my concerns if we did that now. I don't see why
> we need to wait for a second implementation for that though - the whole
> series seems to be built around adding a framework for supporting
> multiple algorithms even though only one exists. So I think we should
> support that fully, or simplfy the whole thing and just assume the only
> thing that exists is HMAT and get rid of the general interface until a
> second algorithm comes along.
We will need a general interface even for one algorithm implementation.
Because it's not good to make a dax subsystem driver (dax/kmem) to
depend on a ACPI subsystem driver (acpi/hmat). We need some general
interface at subsystem level (memory tier here) between them.
Best Regards,
Huang, Ying
next prev parent reply other threads:[~2023-08-21 22:53 UTC|newest]
Thread overview: 41+ messages / expand[flat|nested] mbox.gz Atom feed top
2023-07-21 1:29 [PATCH RESEND 0/4] memory tiering: calculate abstract distance based on ACPI HMAT Huang Ying
2023-07-21 1:29 ` [PATCH RESEND 1/4] memory tiering: add abstract distance calculation algorithms management Huang Ying
2023-07-25 2:13 ` Alistair Popple
2023-07-25 3:14 ` Huang, Ying
2023-07-25 8:26 ` Alistair Popple
2023-07-26 7:33 ` Huang, Ying
2023-07-27 3:42 ` Alistair Popple
2023-07-27 4:02 ` Huang, Ying
2023-07-27 4:07 ` Alistair Popple
2023-07-27 5:41 ` Huang, Ying
2023-07-28 1:20 ` Alistair Popple
2023-08-11 3:51 ` Huang, Ying
2023-08-21 11:26 ` Alistair Popple
2023-08-21 22:50 ` Huang, Ying [this message]
2023-08-21 23:52 ` Alistair Popple
2023-08-22 0:58 ` Huang, Ying
2023-08-22 7:11 ` Alistair Popple
2023-08-23 5:56 ` Huang, Ying
2023-08-25 5:41 ` Alistair Popple
2023-07-21 1:29 ` [PATCH RESEND 2/4] acpi, hmat: refactor hmat_register_target_initiators() Huang Ying
2023-07-25 2:44 ` Alistair Popple
2023-08-07 16:55 ` Jonathan Cameron
2023-08-11 1:13 ` Huang, Ying
2023-07-21 1:29 ` [PATCH RESEND 3/4] acpi, hmat: calculate abstract distance with HMAT Huang Ying
2023-07-25 2:45 ` Alistair Popple
2023-07-25 6:47 ` Huang, Ying
2023-08-21 11:53 ` Alistair Popple
2023-08-21 23:28 ` Huang, Ying
2023-07-21 1:29 ` [PATCH RESEND 4/4] dax, kmem: calculate abstract distance with general interface Huang Ying
2023-07-25 3:11 ` Alistair Popple
2023-07-25 7:02 ` Huang, Ying
2023-08-21 12:03 ` Alistair Popple
2023-08-21 23:33 ` Huang, Ying
2023-08-22 7:36 ` Alistair Popple
2023-08-23 2:13 ` Huang, Ying
2023-08-25 6:00 ` Alistair Popple
2023-07-21 4:15 ` [PATCH RESEND 0/4] memory tiering: calculate abstract distance based on ACPI HMAT Alistair Popple
2023-07-24 17:58 ` Andrew Morton
2023-08-01 2:35 ` Bharata B Rao
2023-08-11 6:26 ` Huang, Ying
2023-08-11 7:49 ` Bharata B Rao
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