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SubjectRe: [PATCH] of: use hash based search in of_find_node_by_phandle
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On 1/25/2018 8:20 PM, Rob Herring wrote:
> On Thu, Jan 25, 2018 at 4:14 AM, Chintan Pandya <cpandya@codeaurora.org> wrote:
>> of_find_node_by_phandle() takes a lot of time finding
> Got some numbers for what is "a lot of time"?
On my SDM device, I see total saving of 400ms during boot time. For some
clients
whose node is quite deeper, they see 1ms time taken by this API.
>
>> right node when your intended device is too right-side
>> in the fdt. Reason is, we search each device serially
>> from the fdt, starting from left-most to right-most.
> By right side, you mean a deep path?
Yes, will correct this if original is confusing.
>
>> Implement, device-phandle relation in hash-table so
>> that look up can be faster.
>>
>> Change-Id: I4a2bc7eff6de142e4f91a7bf474893a45e61c128
> Run checkpatch.pl
Sure. My bad.
>
>> @@ -61,6 +62,7 @@ struct device_node {
>> struct kobject kobj;
>> unsigned long _flags;
>> void *data;
>> + struct hlist_node hash;
> Always base your patches on the latest -rc at least. This won't apply.
Ok, sure.
>
> This grows struct device_node for every single node which we recently
> worked on to shrink (which is why this won't apply). So I'm now
> sensitive to anything that grows it. I'd really prefer something out
> of band.
>
> I'd guess that there's really only a few phandle lookups that occur
> over and over.
On my system, there are ~6.7k calls of this API during boot.

> The clock controller, interrupt controller, etc. What
> if you just had a simple array of previously found nodes for a cache
> and of_find_node_by_phandle can check that array first. Probably 8-16
> entries would be enough.
I clearly see repeat calling with same phandle. But I have few hundreds
of nodes.
I see hashing as generic optimization which applies equally good to all
sized DT.
Using ~4KB more size to save 400 ms is a good trade-off, I believe.


Chintan Pandya

--
The Qualcomm Innovation Center, Inc. is a member of the Code Aurora Forum,
a Linux Foundation Collaborative Project

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