Tobias von Koch
2014-Jan-28 19:47 UTC
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Stepan,
Sorry for the delay. It's great that you are working on MergeFunctions
as well and I agree, we should definitely try to combine our efforts to
improve MergeFunctions.
Just to give you some context, the pass (with the similar function
merging patch) is already being used in a production setting. From my
point of view, it would be better if we focus on improving its
capability of merging functions at this stage rather than on reduction
of compilation time.
I'll give a brief overview of how our similar function merging algorithm
works (you can also watch the presentation from the US LLVM conference
to hear me explain it using an animation).
1. Hash all functions into buckets
In each bucket, separately:
2. Compare functions pair-wise and determine a
similarity metric for each pair (%age of equivalent instructions)
3. Merge identical functions (with similarity = 100%), update call
sites for those functions.
4. If the updates of call sites have touched other functions,
go back to step 2 and re-compare *only* those functions to all
others in their buckets.
Finally,
5. Form groups of similar functions for merging:
a) Pick most similar pair (A,B)
b) Find all functions C that are also similar to B but are not
more similar to some other function D.
c) Merge A with B and all the C's.
Repeat until there are no more functions to merge.
As you can see, we need to compute a similarity measure for each pair of
functions in a bucket. If I understand correctly, your patch reduces
compile-time by avoiding comparisons of functions that cannot be
identical. That's exactly what you want to do if you only want to merge
identical functions. However, because we also need to determine whether
functions are merely *similar*, I can't see how your idea could be
applied in that case.
Looking at your statistics, I see that you are considering a very large
number of functions. I don't know which benchmarks you are using, but I
doubt that many of these are worth merging. For instance, you rarely
gain a code size benefit from merging functions with just a few
instructions. Our patch takes care of this using thresholds. It's worth
looking at actual code size reductions, rather than just numbers of
functions merged/ compilation time spent comparing functions. It turns
out that the number of functions in each bucket is really quite small
once you apply some heuristics (and could still be further reduced!).
Given your experience with MergeFunctions, it would be really great if
you could review our patch and also try it out on your benchmarks.
Tobias
On 24/01/2014 19:11, Stepan Dyatkovskiy wrote:> Hi Tobias.
>
> So, what do you think?
>
> If it means to much extra-job for your team, may be I can help you
> somehow? I really would like to.
>
> -Stepan
>
> Stepan Dyatkovskiy wrote:
>> Hi Tobias,
>>
>>> I can't really see a way to combine our approach with your
patch. What
>>> are your thoughts?
>>
>> I think it is possible. Even more - we need to combine our efforts, in
>> order to bring this pass into real live.
>> I'have read your presentation file, and unfortunately read your
patch
>> only a little.
>> How exactly you scan functions on 2nd stage? Could you explain the
>> algorithm in few words, how you compare workflow? Is it possible to
>> scan binary tree instead of hash table? ...OK.
>>
>> That's how I see the modification. Now its important to explain
idea,
>> so consider the simplest case: you need to catch two functions that
>> are differs with single instruction somewhere.
>>
>> 1. Imagine, that IR *module* contents is represented as binary tree:
>> Each line (trace) from root to terminal node is a function.
>> Each node - is function's primitive (instruction opcode, for
example).
>> Down - is direction to terminal nodes, up - is direction to the root.
>>
>> 2. Now you are standing on some node. And you have two directions
>> down-left and down-right.
>>
>> 3. If you are able to find two equal sub-traces down (at left and at
>> right), then the only difference lies in this node. Then we catch that
>> case.
>>
>> 4. Even more, if two subtrees at left and at right are equal, than you
>> catch at once all the cases that are represented by these subtrees.
>>
>> I still didn't look at you patch carefully. Sorry.. But I hope that
>> helps, and I'll try look at it in nearest time and perhaps its not
the
>> best solution I gave in this post.
>>
>> -Stepan
>>
>> 22.01.2014, 20:53, "Tobias von Koch" <tobias.von.koch at
gmail.com>:
>>> Hi Stepan,
>>>
>>> As you've seen we have recently implemented a significant
enhancement to
>>> the MergeFunctions pass that also allows merging of functions that
are
>>> only similar but not identical
>>> (http://llvm-reviews.chandlerc.com/D2591).
>>>
>>> Our patch also changes the way that functions are compared quite
>>> significantly. This is necessary because we need to compare all
>>> functions in a bucket in order to get a similarity measure for each
>>> pair, so we can then decide which 'groups' of functions to
merge.
>>>
>>> I can't really see a way to combine our approach with your
patch. What
>>> are your thoughts?
>>>
>>> Another way to improve the performance of MergeFunctions might be
to
>>> make the hash function better. I've already added the size of
the first
>>> BB to it, and perhaps there are other factors we could try... if we
>>> don't have to compare functions in the first place (because
they're in
>>> different buckets) then that's obviously a much bigger win.
>>>
>>> Thanks,
>>> Tobias
>>>
>>> On 17/01/2014 20:25, Stepan Dyatkovskiy wrote:
>>>
>>>> Hi all,
>>>>
>>>> I propose simple improvement for MergeFunctions pass, that
reduced
>>>> its
>>>> complexity from O(N^2) to O(log(N)), where N is number of
>>>> functions in
>>>> module.
>>>>
>>>> The idea, is to replace the result of comparison from
"bool" to
>>>> "-1,0,1". In another words: define order relation
on functions set.
>>>> To be sure, that functions could be comparable that way, we
have to
>>>> prove that order relation is possible on all comparison
stage.
>>>>
>>>> The last one is possible, if for each comparison stage we
>>>> implement has
>>>> next properties:
>>>> * reflexivity (a <= a, a == a, a >= a),
>>>> * antisymmetry (if a <= b and b <= a then a == b),
>>>> * transitivity (a <= b and b <= c, then a <= c)
>>>> * asymmetry (if a < b, then a > b or a == b).
>>>>
>>>> Once we have defined order relation we can store all the
functions in
>>>> binary tree and perform lookup in O(log(N)) time.
>>>>
>>>> This post has two attachments:
>>>> 1. The patch, that has implementation of this idea.
>>>> 2. The MergeFunctions pass detailed description, with
explanation how
>>>> order relation could be possible.
>>>>
>>>> Hope it helps to make things better!
>>>>
>>>> -Stepan.
>>>>
>>>> _______________________________________________
>>>> LLVM Developers mailing list
>>>> LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu
>>>> http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev
>
Stepan Dyatkovskiy
2014-Jan-29 06:30 UTC
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hi Tobias,> As you can see, we need to compute a similarity measure for each pair of > functions in a bucket. If I understand correctly, your patch reduces > compile-time by avoiding comparisons of functions that cannot be > identical. That's exactly what you want to do if you only want to merge > identical functions. However, because we also need to determine whether > functions are merely *similar*, I can't see how your idea could be > applied in that case.Did you read my previous post to you? What do you thing about tree advantages for your approach that were explained there?> Looking at your statistics, I see that you are considering a very large > number of functions. I don't know which benchmarks you are using, but I > doubt that many of these are worth merging. For instance, you rarely > gain a code size benefit from merging functions with just a few > instructions. Our patch takes care of this using thresholds. It's worth > looking at actual code size reductions, rather than just numbers of > functions merged/ compilation time spent comparing functions. It turns > out that the number of functions in each bucket is really quite small > once you apply some heuristics (and could still be further reduced!).Based on my previous statistics average size of merging function is about 10-20 instructions. Anyway I will present new statistics with sizes included. I also will publish statistics for you approach. -- Truly yours, Stepan Dyatkovskiy 28.01.2014, 23:47, "Tobias von Koch" <tobias.von.koch at gmail.com>:> Hi Stepan, > > Sorry for the delay. It's great that you are working on MergeFunctions > as well and I agree, we should definitely try to combine our efforts to > improve MergeFunctions. > > Just to give you some context, the pass (with the similar function > merging patch) is already being used in a production setting. From my > point of view, it would be better if we focus on improving its > capability of merging functions at this stage rather than on reduction > of compilation time. > > I'll give a brief overview of how our similar function merging algorithm > works (you can also watch the presentation from the US LLVM conference > to hear me explain it using an animation). > > 1. Hash all functions into buckets > > In each bucket, separately: > > 2. Compare functions pair-wise and determine a > similarity metric for each pair (%age of equivalent instructions) > > 3. Merge identical functions (with similarity = 100%), update call > sites for those functions. > > 4. If the updates of call sites have touched other functions, > go back to step 2 and re-compare *only* those functions to all > others in their buckets. > > Finally, > > 5. Form groups of similar functions for merging: > a) Pick most similar pair (A,B) > b) Find all functions C that are also similar to B but are not > more similar to some other function D. > c) Merge A with B and all the C's. > Repeat until there are no more functions to merge. > > As you can see, we need to compute a similarity measure for each pair of > functions in a bucket. If I understand correctly, your patch reduces > compile-time by avoiding comparisons of functions that cannot be > identical. That's exactly what you want to do if you only want to merge > identical functions. However, because we also need to determine whether > functions are merely *similar*, I can't see how your idea could be > applied in that case. > > Looking at your statistics, I see that you are considering a very large > number of functions. I don't know which benchmarks you are using, but I > doubt that many of these are worth merging. For instance, you rarely > gain a code size benefit from merging functions with just a few > instructions. Our patch takes care of this using thresholds. It's worth > looking at actual code size reductions, rather than just numbers of > functions merged/ compilation time spent comparing functions. It turns > out that the number of functions in each bucket is really quite small > once you apply some heuristics (and could still be further reduced!). > > Given your experience with MergeFunctions, it would be really great if > you could review our patch and also try it out on your benchmarks. > > Tobias > > On 24/01/2014 19:11, Stepan Dyatkovskiy wrote: > >> Hi Tobias. >> >> So, what do you think? >> >> If it means to much extra-job for your team, may be I can help you >> somehow? I really would like to. >> >> -Stepan >> >> Stepan Dyatkovskiy wrote: >>> Hi Tobias, >>>> I can't really see a way to combine our approach with your patch. What >>>> are your thoughts? >>> I think it is possible. Even more - we need to combine our efforts, in >>> order to bring this pass into real live. >>> I'have read your presentation file, and unfortunately read your patch >>> only a little. >>> How exactly you scan functions on 2nd stage? Could you explain the >>> algorithm in few words, how you compare workflow? Is it possible to >>> scan binary tree instead of hash table? ...OK. >>> >>> That's how I see the modification. Now its important to explain idea, >>> so consider the simplest case: you need to catch two functions that >>> are differs with single instruction somewhere. >>> >>> 1. Imagine, that IR *module* contents is represented as binary tree: >>> Each line (trace) from root to terminal node is a function. >>> Each node - is function's primitive (instruction opcode, for example). >>> Down - is direction to terminal nodes, up - is direction to the root. >>> >>> 2. Now you are standing on some node. And you have two directions >>> down-left and down-right. >>> >>> 3. If you are able to find two equal sub-traces down (at left and at >>> right), then the only difference lies in this node. Then we catch that >>> case. >>> >>> 4. Even more, if two subtrees at left and at right are equal, than you >>> catch at once all the cases that are represented by these subtrees. >>> >>> I still didn't look at you patch carefully. Sorry.. But I hope that >>> helps, and I'll try look at it in nearest time and perhaps its not the >>> best solution I gave in this post. >>> >>> -Stepan >>> >>> 22.01.2014, 20:53, "Tobias von Koch" <tobias.von.koch at gmail.com>: >>>> Hi Stepan, >>>> >>>> As you've seen we have recently implemented a significant enhancement to >>>> the MergeFunctions pass that also allows merging of functions that are >>>> only similar but not identical >>>> (http://llvm-reviews.chandlerc.com/D2591). >>>> >>>> Our patch also changes the way that functions are compared quite >>>> significantly. This is necessary because we need to compare all >>>> functions in a bucket in order to get a similarity measure for each >>>> pair, so we can then decide which 'groups' of functions to merge. >>>> >>>> I can't really see a way to combine our approach with your patch. What >>>> are your thoughts? >>>> >>>> Another way to improve the performance of MergeFunctions might be to >>>> make the hash function better. I've already added the size of the first >>>> BB to it, and perhaps there are other factors we could try... if we >>>> don't have to compare functions in the first place (because they're in >>>> different buckets) then that's obviously a much bigger win. >>>> >>>> Thanks, >>>> Tobias >>>> >>>> On 17/01/2014 20:25, Stepan Dyatkovskiy wrote: >>>>> Hi all, >>>>> >>>>> I propose simple improvement for MergeFunctions pass, that reduced >>>>> its >>>>> complexity from O(N^2) to O(log(N)), where N is number of >>>>> functions in >>>>> module. >>>>> >>>>> The idea, is to replace the result of comparison from "bool" to >>>>> "-1,0,1". In another words: define order relation on functions set. >>>>> To be sure, that functions could be comparable that way, we have to >>>>> prove that order relation is possible on all comparison stage. >>>>> >>>>> The last one is possible, if for each comparison stage we >>>>> implement has >>>>> next properties: >>>>> * reflexivity (a <= a, a == a, a >= a), >>>>> * antisymmetry (if a <= b and b <= a then a == b), >>>>> * transitivity (a <= b and b <= c, then a <= c) >>>>> * asymmetry (if a < b, then a > b or a == b). >>>>> >>>>> Once we have defined order relation we can store all the functions in >>>>> binary tree and perform lookup in O(log(N)) time. >>>>> >>>>> This post has two attachments: >>>>> 1. The patch, that has implementation of this idea. >>>>> 2. The MergeFunctions pass detailed description, with explanation how >>>>> order relation could be possible. >>>>> >>>>> Hope it helps to make things better! >>>>> >>>>> -Stepan. >>>>> >>>>> _______________________________________________ >>>>> LLVM Developers mailing list >>>>> LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu >>>>> http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev
On Tue, Jan 28, 2014 at 2:47 PM, Tobias von Koch <tobias.von.koch at gmail.com>wrote:> Hi Stepan, > > Sorry for the delay. It's great that you are working on MergeFunctions as > well and I agree, we should definitely try to combine our efforts to > improve MergeFunctions. > > Just to give you some context, the pass (with the similar function merging > patch) is already being used in a production setting. From my point of > view, it would be better if we focus on improving its capability of merging > functions at this stage rather than on reduction of compilation time. > > I'll give a brief overview of how our similar function merging algorithm > works (you can also watch the presentation from the US LLVM conference to > hear me explain it using an animation). > > 1. Hash all functions into buckets > > In each bucket, separately: > > 2. Compare functions pair-wise and determine a > similarity metric for each pair (%age of equivalent instructions) > > 3. Merge identical functions (with similarity = 100%), update call > sites for those functions. > > 4. If the updates of call sites have touched other functions, > go back to step 2 and re-compare *only* those functions to all > others in their buckets. > > Finally, > > 5. Form groups of similar functions for merging: > a) Pick most similar pair (A,B) > b) Find all functions C that are also similar to B but are not > more similar to some other function D. > c) Merge A with B and all the C's. > Repeat until there are no more functions to merge. > > As you can see, we need to compute a similarity measure for each pair of > functions in a bucket. If I understand correctly, your patch reduces > compile-time by avoiding comparisons of functions that cannot be identical. > That's exactly what you want to do if you only want to merge identical > functions. However, because we also need to determine whether functions are > merely *similar*, I can't see how your idea could be applied in that case. >Yeah, the existing pass only tries to merge identical functions (identical in machine code). I'm wondering if the "similar" function merging would be better as a separate pass (I'm genuinely wondering; I have no clue). I would wait for Nick's feedback. -- Sean Silva> > Looking at your statistics, I see that you are considering a very large > number of functions. I don't know which benchmarks you are using, but I > doubt that many of these are worth merging. For instance, you rarely gain a > code size benefit from merging functions with just a few instructions. Our > patch takes care of this using thresholds. It's worth looking at actual > code size reductions, rather than just numbers of functions merged/ > compilation time spent comparing functions. It turns out that the number of > functions in each bucket is really quite small once you apply some > heuristics (and could still be further reduced!). > > Given your experience with MergeFunctions, it would be really great if you > could review our patch and also try it out on your benchmarks. > > Tobias > > > On 24/01/2014 19:11, Stepan Dyatkovskiy wrote: > >> Hi Tobias. >> >> So, what do you think? >> >> If it means to much extra-job for your team, may be I can help you >> somehow? I really would like to. >> >> -Stepan >> >> Stepan Dyatkovskiy wrote: >> >>> Hi Tobias, >>> >>> I can't really see a way to combine our approach with your patch. What >>>> are your thoughts? >>>> >>> >>> I think it is possible. Even more - we need to combine our efforts, in >>> order to bring this pass into real live. >>> I'have read your presentation file, and unfortunately read your patch >>> only a little. >>> How exactly you scan functions on 2nd stage? Could you explain the >>> algorithm in few words, how you compare workflow? Is it possible to >>> scan binary tree instead of hash table? ...OK. >>> >>> That's how I see the modification. Now its important to explain idea, >>> so consider the simplest case: you need to catch two functions that >>> are differs with single instruction somewhere. >>> >>> 1. Imagine, that IR *module* contents is represented as binary tree: >>> Each line (trace) from root to terminal node is a function. >>> Each node - is function's primitive (instruction opcode, for example). >>> Down - is direction to terminal nodes, up - is direction to the root. >>> >>> 2. Now you are standing on some node. And you have two directions >>> down-left and down-right. >>> >>> 3. If you are able to find two equal sub-traces down (at left and at >>> right), then the only difference lies in this node. Then we catch that >>> case. >>> >>> 4. Even more, if two subtrees at left and at right are equal, than you >>> catch at once all the cases that are represented by these subtrees. >>> >>> I still didn't look at you patch carefully. Sorry.. But I hope that >>> helps, and I'll try look at it in nearest time and perhaps its not the >>> best solution I gave in this post. >>> >>> -Stepan >>> >>> 22.01.2014, 20:53, "Tobias von Koch" <tobias.von.koch at gmail.com>: >>> >>>> Hi Stepan, >>>> >>>> As you've seen we have recently implemented a significant enhancement to >>>> the MergeFunctions pass that also allows merging of functions that are >>>> only similar but not identical >>>> (http://llvm-reviews.chandlerc.com/D2591). >>>> >>>> Our patch also changes the way that functions are compared quite >>>> significantly. This is necessary because we need to compare all >>>> functions in a bucket in order to get a similarity measure for each >>>> pair, so we can then decide which 'groups' of functions to merge. >>>> >>>> I can't really see a way to combine our approach with your patch. What >>>> are your thoughts? >>>> >>>> Another way to improve the performance of MergeFunctions might be to >>>> make the hash function better. I've already added the size of the first >>>> BB to it, and perhaps there are other factors we could try... if we >>>> don't have to compare functions in the first place (because they're in >>>> different buckets) then that's obviously a much bigger win. >>>> >>>> Thanks, >>>> Tobias >>>> >>>> On 17/01/2014 20:25, Stepan Dyatkovskiy wrote: >>>> >>>> Hi all, >>>>> >>>>> I propose simple improvement for MergeFunctions pass, that reduced >>>>> its >>>>> complexity from O(N^2) to O(log(N)), where N is number of >>>>> functions in >>>>> module. >>>>> >>>>> The idea, is to replace the result of comparison from "bool" to >>>>> "-1,0,1". In another words: define order relation on functions set. >>>>> To be sure, that functions could be comparable that way, we have to >>>>> prove that order relation is possible on all comparison stage. >>>>> >>>>> The last one is possible, if for each comparison stage we >>>>> implement has >>>>> next properties: >>>>> * reflexivity (a <= a, a == a, a >= a), >>>>> * antisymmetry (if a <= b and b <= a then a == b), >>>>> * transitivity (a <= b and b <= c, then a <= c) >>>>> * asymmetry (if a < b, then a > b or a == b). >>>>> >>>>> Once we have defined order relation we can store all the functions in >>>>> binary tree and perform lookup in O(log(N)) time. >>>>> >>>>> This post has two attachments: >>>>> 1. The patch, that has implementation of this idea. >>>>> 2. The MergeFunctions pass detailed description, with explanation how >>>>> order relation could be possible. >>>>> >>>>> Hope it helps to make things better! >>>>> >>>>> -Stepan. >>>>> >>>>> _______________________________________________ >>>>> LLVM Developers mailing list >>>>> LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu >>>>> http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev >>>>> >>>> >> > _______________________________________________ > LLVM Developers mailing list > LLVMdev at cs.uiuc.edu http://llvm.cs.uiuc.edu > http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev >-------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20140129/77b8206b/attachment.html>
Stepan Dyatkovskiy
2014-Jan-30 09:27 UTC
[LLVMdev] MergeFunctions: reduce complexity to O(log(N))
Hello Sean and Tobias, Sean, Thank you. Could you describe Nick's ideas in few words or give me links to your discussion, so I could adapt my ideas to it. Tobias, Your patch fails on several modules in my benchmark (73 of ~1800 tests). I have sent one as attachment. See statistics files for more details, all the .ll files you could simply find in test-suite object directory (after "make TEST=nightly report"). I have attached script that launches benchmark. Example of usage (you need Linux OS): bash test-scipt.sh report.txt opt-no-patch opt-with-patch Some numbers. Total number of functions: 52715 Below, by default, I have excluded modules where your patch fails. Functions merged Original version: 1113 Order relation patch: 1112 Similar merging patch: 541 Functions merged (including failed tests) Original version: 8398 Order relation patch: 8395 Summary files size Initial: 163595634 bytes. After merging with order relation patch: 163147731 bytes. After similar merging patch: 162491905 bytes. Summary files size (including failed tests) Initial: 250242266 bytes. Original version: 247168198 bytes. Order relation: 247175650 bytes. Time. I measured with "time" utility, and used "real (wall clock) time used by the process". Summary time spent With existing version: 28.05 secs. With order relation patch: 28.19 secs. Similar merging patch: 28.61 secs. Summary time spent (including failed tests) With existing version: 41.74 secs. With order relation patch: 36.35 secs. -Stepan Sean Silva wrote:> > > > On Tue, Jan 28, 2014 at 2:47 PM, Tobias von Koch > <tobias.von.koch at gmail.com <mailto:tobias.von.koch at gmail.com>> wrote: > > Hi Stepan, > > Sorry for the delay. It's great that you are working on > MergeFunctions as well and I agree, we should definitely try to > combine our efforts to improve MergeFunctions. > > Just to give you some context, the pass (with the similar function > merging patch) is already being used in a production setting. From > my point of view, it would be better if we focus on improving its > capability of merging functions at this stage rather than on > reduction of compilation time. > > I'll give a brief overview of how our similar function merging > algorithm works (you can also watch the presentation from the US > LLVM conference to hear me explain it using an animation). > > 1. Hash all functions into buckets > > In each bucket, separately: > > 2. Compare functions pair-wise and determine a > similarity metric for each pair (%age of equivalent instructions) > > 3. Merge identical functions (with similarity = 100%), update call > sites for those functions. > > 4. If the updates of call sites have touched other functions, > go back to step 2 and re-compare *only* those functions to all > others in their buckets. > > Finally, > > 5. Form groups of similar functions for merging: > a) Pick most similar pair (A,B) > b) Find all functions C that are also similar to B but are not > more similar to some other function D. > c) Merge A with B and all the C's. > Repeat until there are no more functions to merge. > > As you can see, we need to compute a similarity measure for each > pair of functions in a bucket. If I understand correctly, your patch > reduces compile-time by avoiding comparisons of functions that > cannot be identical. That's exactly what you want to do if you only > want to merge identical functions. However, because we also need to > determine whether functions are merely *similar*, I can't see how > your idea could be applied in that case. > > > Yeah, the existing pass only tries to merge identical functions > (identical in machine code). I'm wondering if the "similar" function > merging would be better as a separate pass (I'm genuinely wondering; I > have no clue). I would wait for Nick's feedback. > > -- Sean Silva > > > Looking at your statistics, I see that you are considering a very > large number of functions. I don't know which benchmarks you are > using, but I doubt that many of these are worth merging. For > instance, you rarely gain a code size benefit from merging functions > with just a few instructions. Our patch takes care of this using > thresholds. It's worth looking at actual code size reductions, > rather than just numbers of functions merged/ compilation time spent > comparing functions. It turns out that the number of functions in > each bucket is really quite small once you apply some heuristics > (and could still be further reduced!). > > Given your experience with MergeFunctions, it would be really great > if you could review our patch and also try it out on your benchmarks. > > Tobias > > > On 24/01/2014 19:11, Stepan Dyatkovskiy wrote: > > Hi Tobias. > > So, what do you think? > > If it means to much extra-job for your team, may be I can help you > somehow? I really would like to. > > -Stepan > > Stepan Dyatkovskiy wrote: > > Hi Tobias, > > I can't really see a way to combine our approach with > your patch. What > are your thoughts? > > > I think it is possible. Even more - we need to combine our > efforts, in > order to bring this pass into real live. > I'have read your presentation file, and unfortunately read > your patch > only a little. > How exactly you scan functions on 2nd stage? Could you > explain the > algorithm in few words, how you compare workflow? Is it > possible to > scan binary tree instead of hash table? ...OK. > > That's how I see the modification. Now its important to > explain idea, > so consider the simplest case: you need to catch two > functions that > are differs with single instruction somewhere. > > 1. Imagine, that IR *module* contents is represented as > binary tree: > Each line (trace) from root to terminal node is a function. > Each node - is function's primitive (instruction opcode, for > example). > Down - is direction to terminal nodes, up - is direction to > the root. > > 2. Now you are standing on some node. And you have two > directions > down-left and down-right. > > 3. If you are able to find two equal sub-traces down (at > left and at > right), then the only difference lies in this node. Then we > catch that > case. > > 4. Even more, if two subtrees at left and at right are > equal, than you > catch at once all the cases that are represented by these > subtrees. > > I still didn't look at you patch carefully. Sorry.. But I > hope that > helps, and I'll try look at it in nearest time and perhaps > its not the > best solution I gave in this post. > > -Stepan > > 22.01.2014, 20:53, "Tobias von Koch" > <tobias.von.koch at gmail.com <mailto:tobias.von.koch at gmail.com>>: > > Hi Stepan, > > As you've seen we have recently implemented a > significant enhancement to > the MergeFunctions pass that also allows merging of > functions that are > only similar but not identical > (http://llvm-reviews.__chandlerc.com/D2591 > <http://llvm-reviews.chandlerc.com/D2591>). > > Our patch also changes the way that functions are > compared quite > significantly. This is necessary because we need to > compare all > functions in a bucket in order to get a similarity > measure for each > pair, so we can then decide which 'groups' of functions > to merge. > > I can't really see a way to combine our approach with > your patch. What > are your thoughts? > > Another way to improve the performance of MergeFunctions > might be to > make the hash function better. I've already added the > size of the first > BB to it, and perhaps there are other factors we could > try... if we > don't have to compare functions in the first place > (because they're in > different buckets) then that's obviously a much bigger win. > > Thanks, > Tobias > > On 17/01/2014 20:25, Stepan Dyatkovskiy wrote: > > Hi all, > > I propose simple improvement for MergeFunctions > pass, that reduced > its > complexity from O(N^2) to O(log(N)), where N is > number of > functions in > module. > > The idea, is to replace the result of comparison > from "bool" to > "-1,0,1". In another words: define order relation > on functions set. > To be sure, that functions could be comparable > that way, we have to > prove that order relation is possible on all > comparison stage. > > The last one is possible, if for each comparison > stage we > implement has > next properties: > * reflexivity (a <= a, a == a, a >= a), > * antisymmetry (if a <= b and b <= a then a == b), > * transitivity (a <= b and b <= c, then a <= c) > * asymmetry (if a < b, then a > b or a == b). > > Once we have defined order relation we can store > all the functions in > binary tree and perform lookup in O(log(N)) time. > > This post has two attachments: > 1. The patch, that has implementation of this idea. > 2. The MergeFunctions pass detailed description, > with explanation how > order relation could be possible. > > Hope it helps to make things better! > > -Stepan. > > _________________________________________________ > LLVM Developers mailing list > LLVMdev at cs.uiuc.edu <mailto:LLVMdev at cs.uiuc.edu> > http://llvm.cs.uiuc.edu > http://lists.cs.uiuc.edu/__mailman/listinfo/llvmdev > <http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev> > > > > _________________________________________________ > LLVM Developers mailing list > LLVMdev at cs.uiuc.edu <mailto:LLVMdev at cs.uiuc.edu> http://llvm.cs.uiuc.edu > http://lists.cs.uiuc.edu/__mailman/listinfo/llvmdev > <http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev> > >-------------- next part -------------- A non-text attachment was scrubbed... Name: test-scipt.sh Type: application/x-sh Size: 2084 bytes Desc: not available URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20140130/eed1a30d/attachment.sh> -------------- next part -------------- IRFile NumFunctionsTotal InitialSize MergedNoPatch TimeNoPatch SizeNoPatch MergedWithPatch TimeWithPatch SizeWithPatch 2002-04-17-PrintfChar.ll 2 2172 0 0.00 2163 0 0.00 2163 2002-05-02-ArgumentTest.ll 2 3164 0 0.01 3155 0 0.01 3155 2002-05-02-CastTest1.ll 1 2121 0 0.01 2112 0 0.01 2112 2002-05-02-CastTest2.ll 2 3803 0 0.01 3794 0 0.01 3794 2002-05-02-CastTest3.ll 1 2938 0 0.01 2929 0 0.01 2929 2002-05-02-CastTest.ll 2 11291 0 0.01 11282 0 0.01 11282 2002-05-02-ManyArguments.ll 2 4222 0 0.01 4213 0 0.01 4213 2002-05-03-NotTest.ll 3 6111 0 0.01 6102 0 0.01 6102 2002-05-19-DivTest.ll 3 3553 0 0.01 3544 0 0.01 3544 2002-08-02-CastTest2.ll 2 2144 0 0.01 2135 0 0.01 2135 2002-08-02-CastTest.ll 2 1777 0 0.01 1768 0 0.01 1768 2002-08-19-CodegenBug.ll 1 2750 0 0.01 2741 0 0.01 2741 2002-10-09-ArrayResolution.ll 1 2442 0 0.01 2433 0 0.01 2433 2002-10-12-StructureArgs.ll 2 3914 0 0.01 3905 0 0.01 3905 2002-10-12-StructureArgsSimple.ll 2 2813 0 0.01 2804 0 0.01 2804 2002-10-13-BadLoad.ll 2 1695 0 0.01 1686 0 0.01 1686 2002-12-13-MishaTest.ll 2 4568 0 0.01 4559 0 0.01 4559 2003-04-22-Switch.ll 2 3916 0 0.01 3907 0 0.01 3907 2003-05-02-DependentPHI.ll 1 4621 0 0.01 4612 0 0.01 4612 2003-05-07-VarArgs.ll 2 23386 0 0.01 23377 0 0.01 23377 2003-05-12-MinIntProblem.ll 2 1971 0 0.01 1962 0 0.01 1962 2003-05-14-array-init.ll 1 2016 0 0.01 2000 0 0.01 2000 2003-05-14-AtExit.ll 2 1868 0 0.01 1859 0 0.01 1859 2003-05-14-expr_stmt.ll 2 1780 0 0.01 1764 0 0.01 1764 2003-05-14-initialize-string.ll 1 1789 0 0.01 1777 0 0.01 1777 2003-05-21-BitfieldHandling.ll 1 8810 0 0.01 8798 0 0.01 8798 2003-05-21-UnionBitfields.ll 2 3555 0 0.01 3543 0 0.01 3543 2003-05-21-UnionTest.ll 2 2331 0 0.01 2319 0 0.01 2319 2003-05-22-LocalTypeTest.ll 1 3195 0 0.01 3183 0 0.01 3183 2003-05-22-VarSizeArray.ll 2 2389 0 0.01 2377 0 0.01 2377 2003-05-23-TransparentUnion.ll 3 2753 0 0.01 2741 0 0.01 2741 2003-05-26-Shorts.ll 2 22518 0 0.01 22509 0 0.01 22509 2003-05-31-CastToBool.ll 7 6621 0 0.01 6612 0 0.01 6612 2003-05-31-LongShifts.ll 2 5739 0 0.01 5730 0 0.01 5730 2003-06-08-BaseType.ll 3 2098 0 0.01 2082 0 0.01 2082 2003-06-08-VirtualFunctions.ll 4 4118 0 0.01 4102 0 0.01 4102 2003-06-13-Crasher.ll 4 1886 0 0.01 1870 0 0.01 1870 2003-06-16-InvalidInitializer.ll 1 883 0 0.01 871 0 0.01 871 2003-06-16-VolatileError.ll 1 857 0 0.01 845 0 0.01 845 2003-07-06-IntOverflow.ll 5 6583 0 0.01 6574 0 0.01 7412 2003-07-08-BitOpsTest.ll 2 4018 0 0.01 4009 0 0.01 4009 2003-07-09-LoadShorts.ll 2 22686 0 0.01 22677 0 0.01 22677 2003-07-09-SignedArgs.ll 4 19145 0 0.01 19136 0 0.01 19136 2003-07-10-SignConversions.ll 3 4961 0 0.01 4952 0 0.01 4952 2003-08-05-CastFPToUint.ll 4 3762 0 0.01 3753 0 0.01 3753 2003-08-11-VaListArg.ll 4 25506 0 0.01 25497 0 0.01 25497 2003-08-20-EnumSizeProblem.ll 2 1358 0 0.01 1342 0 0.01 1342 2003-08-20-FoldBug.ll 2 2304 0 0.01 2295 0 0.01 2295 2003-09-18-BitFieldTest.ll 2 2547 0 0.01 2538 0 0.01 2538 2003-09-29-NonPODsByValue.ll 4 5850 0 0.01 5834 0 0.01 5834 2003-10-12-GlobalVarInitializers.ll 1 2336 0 0.01 2324 0 0.01 2324 2003-10-13-SwitchTest.ll 1 2458 0 0.01 2449 0 0.01 2449 2003-10-29-ScalarReplBug.ll 3 3638 0 0.01 3629 0 0.01 3629 2004-02-02-NegativeZero.ll 2 2157 0 0.01 2148 0 0.01 2148 2004-02-03-AggregateCopy.ll 1 2672 0 0.01 2660 0 0.01 2660 2004-03-15-IndirectGoto.ll 1 3331 0 0.01 3319 0 0.01 3319 2004-06-20-StaticBitfieldInit.ll 1 1868 0 0.01 1859 0 0.01 1859 2004-08-12-InlinerAndAllocas.ll 2 4031 0 0.01 4019 0 0.01 4019 2004-11-28-GlobalBoolLayout.ll 1 3428 0 0.01 3419 0 0.01 3419 2005-05-06-LongLongSignedShift.ll 1 1924 0 0.01 1912 0 0.01 1912 2005-05-11-Popcount-ffs-fls.ll 6 13763 0 0.01 13754 0 0.01 13754 2005-05-12-Int64ToFP.ll 1 2468 0 0.01 2459 0 0.01 2459 2005-05-13-SDivTwo.ll 1 2235 0 0.01 2226 0 0.01 2226 2005-07-15-Bitfield-ABI.ll 2 2627 0 0.01 2618 0 0.01 2618 2005-07-17-INT-To-FP.ll 1 5565 0 0.01 5556 0 0.01 5556 2005-11-29-LongSwitch.ll 2 2562 0 0.01 2553 0 0.01 2553 2006-01-23-UnionInit.ll 4 15468 0 0.01 15459 0 0.01 15459 2006-01-29-SimpleIndirectCall.ll 3 2514 0 0.01 2505 0 0.01 2505 2006-02-04-DivRem.ll 2 3113 0 0.01 3104 0 0.01 3104 2006-12-01-float_varg.ll 1 1864 0 0.01 1855 0 0.01 1855 2006-12-04-DynAllocAndRestore.ll 5 7012 0 0.01 7001 0 0.01 7001 2006-12-07-Compare64BitConstant.ll 1 2532 0 0.01 2523 0 0.01 2523 2006-12-11-LoadConstants.ll 155 38553 0 0.02 38544 0 0.01 38544 2007-01-04-KNR-Args.ll 3 5681 0 0.01 5672 0 0.01 5672 2007-03-02-VaCopy.ll 2 4199 0 0.01 4190 0 0.01 4190 2007-04-10-BitfieldTest.ll 1 2325 0 0.01 2316 0 0.01 2316 2007-04-25-weak.ll 1 1941 0 0.01 1932 0 0.01 1932 2008-01-07-LongDouble.ll 1 1693 0 0.01 1681 0 0.01 1681 2008-01-29-ParamAliasesReturn.ll 5 7207 0 0.01 7191 0 0.01 7191 2008-04-18-LoopBug.ll 2 5876 0 0.01 5867 0 0.01 5867 2008-04-20-LoopBug2.ll 2 5780 0 0.01 5771 0 0.01 5771 2008-07-13-InlineSetjmp.ll 3 3729 0 0.01 3720 0 0.00 3720 2009-04-16-BitfieldInitialization.ll 1 13564 0 0.01 13555 0 0.01 13555 2009-12-07-StructReturn.ll 3 5862 0 0.01 5853 0 0.01 5853 2010-05-24-BitfieldTest.ll 1 2043 0 0.01 2034 0 0.01 2034 2010-12-08-tls.ll 2 1657 0 0.01 1640 0 0.01 1640 2011-03-28-Bitfield.ll 2 4750 0 0.01 4734 0 0.01 4734 23tree.ll 20 213771 0 0.02 213738 0 0.02 213738 2mm.ll 12 36384 0 0.01 36337 0 0.01 36337 3mm.ll 12 40984 0 0.01 40937 0 0.00 40937 7zAes.ll 66 187046 12 0.02 182102 11 0.03 164419 7zAesRegister.ll 6 12294 1 0.01 12312 0 0.01 12262 7zCompressionMode.ll 0 467 0 0.01 431 0 0.01 431 7zCrc.ll 3 6134 0 0.01 6118 0 0.01 6118 7zCrcOpt.ll 2 6410 0 0.01 6394 0 0.01 6394 7zDecode.ll 29 252150 6 0.03 246797 * * * 7zEncode.ll 54 422010 8 0.03 415640 * * * 7zExtract.ll 12 105769 0 0.02 105733 0 0.01 104790 7zFolderInStream.ll 22 84789 2 0.01 83699 2 0.02 83699 7zFolderOutStream.ll 21 98330 0 0.01 98294 0 0.01 98294 7zHandler.ll 57 498965 3 0.04 497360 * * * 7zHandlerOut.ll 46 360396 3 0.04 358791 * * * 7zHeader.ll 0 533 0 0.01 497 0 0.01 497 7zIn.ll 65 630076 4 0.05 627948 * * * 7zOut.ll 52 422075 4 0.04 419945 * * * 7zProperties.ll 5 69260 0 0.01 69224 0 0.02 69224 7zRegister.ll 3 6435 0 0.01 6399 0 0.01 6399 7zSpecStream.ll 14 42877 0 0.01 42841 0 0.01 42841 7zStream.ll 18 24928 0 0.01 24912 0 0.01 23518 7zUpdate.ll 74 664947 10 0.05 659086 * * * abs.ll 9 15684 1 0.01 15505 1 0.01 15505 access.ll 2 7714 0 0.01 7697 0 0.01 7697 ackermann.ll 3 5129 0 0.01 5110 0 0.01 5110 add.ll 14 30625 0 0.01 30595 0 0.01 30163 addpins.ll 2 33808 0 0.01 33775 0 0.01 33775 adi.ll 12 45742 0 0.01 45709 0 0.01 45709 adpcm.ll 2 23199 0 0.01 23163 0 0.01 23163 aes.ll 3 373486 0 0.04 373451 0 0.03 373451 Aes.ll 8 69129 0 0.01 69113 0 0.01 69113 aesxam.ll 4 42494 0 0.01 42459 0 0.01 42459 ag_dec.ll 9 36584 0 0.01 36561 0 0.01 36561 ag_enc.ll 8 35026 0 0.01 35003 0 0.01 35003 aha.ll 31 88454 0 0.02 88439 0 0.02 88424 alabel.ll 1 7853 0 0.01 7824 0 0.01 7824 ALACBitUtilities.ll 13 33162 0 0.01 33139 0 0.01 33139 ALACDecoder.ll 9 109780 0 0.02 109755 0 0.02 110074 ALACEncoder.ll 14 186571 0 0.02 186546 0 0.02 186546 alias.ll 10 70826 0 0.01 70795 0 0.02 70795 align.ll 9 140707 0 0.02 140688 0 0.02 140688 all.ll 3 27964 0 0.01 27935 0 0.01 27935 allocate.ll 1 2986 0 0.01 2960 0 0.01 2960 Alloc.ll 9 18789 2 0.01 17153 2 0.01 17153 allocvector.ll 4 5235 1 0.01 4852 0 0.01 5210 almabench.ll 4 67269 0 0.02 67247 0 0.01 67247 anagram.ll 18 67232 0 0.01 67207 0 0.01 67207 analyze.ll 4 56216 0 0.01 56183 0 0.01 56183 analyzer.ll 5 89263 0 0.02 89235 0 0.02 89235 annexb.ll 3 15776 0 0.01 15755 0 0.01 15755 aquery.ll 4 37356 0 0.01 37322 0 0.01 37322 archie.ll 4 47557 0 0.01 47523 0 0.01 47523 ArchiveCommandLine.ll 39 503498 1 0.04 502940 * * * ArchiveExtractCallback.ll 34 347752 0 0.03 347717 0 0.03 343678 ArchiveOpenCallback.ll 48 178401 0 0.02 178366 0 0.02 171948 arc.ll 1 6214 0 0.01 6185 0 0.01 6185 arg.ll 7 62944 0 0.02 62931 0 0.02 62931 args.ll 3 6203 0 0.01 6180 0 0.01 6180 arithmetic.ll 10 21782 0 0.01 21752 0 0.01 21752 array.ll 3 13860 0 0.01 13840 0 0.01 13840 ary2.ll 44 73704 1 0.01 73514 1 0.02 73514 ary3.ll 2 7606 0 0.01 7587 0 0.01 7587 ary.ll 44 61905 1 0.02 61715 1 0.02 61715 asearch1.ll 1 44616 0 0.01 44590 0 0.01 44590 asearch.ll 2 86459 0 0.02 86433 0 0.02 86433 assem.ll 1 14439 0 0.01 14409 0 0.01 14409 assign.ll 10 62051 0 0.02 62028 0 0.02 62028 atalloc.ll 3 11357 0 0.01 11323 0 0.01 11323 atax.ll 12 23916 0 0.01 23868 0 0.01 23868 AtomicOps.ll 2 5132 0 0.01 5123 0 0.01 5123 atop.ll 1 12901 0 0.01 12874 0 0.01 12874 badidx.ll 2 5030 0 0.01 5018 0 0.01 5018 basicmath.ll 1 27788 0 0.01 27750 0 0.01 27750 Bcj2Coder.ll 29 231916 0 0.03 231882 0 0.03 231882 Bcj2Register.ll 3 8684 0 0.01 8650 0 0.01 8650 BcjCoder.ll 10 12616 2 0.01 12616 0 0.01 12582 BcjRegister.ll 3 3398 0 0.01 3364 0 0.01 3364 bc.ll 1 125465 0 0.02 125445 0 0.02 125445 beamformer.ll 10 57830 0 0.02 57799 0 0.02 57799 be.ll 44 211535 0 0.02 211519 0 0.02 211513 bellman.ll 1 16559 0 0.01 16526 0 0.01 16526 BenchCon.ll 7 47481 0 0.01 47445 0 0.02 47445 Bench.ll 45 234977 9 0.02 229289 7 0.02 229195 BenchmarkDemo.ll 221 4989042 49 0.74 4980861 24 0.75 4982243 benchmark.ll 2 12300 0 0.01 12275 0 0.01 12275 bf_cbc.ll 1 48342 0 0.01 48307 0 0.01 48307 bf_cfb64.ll 1 21004 0 0.01 20969 0 0.01 20969 bf_ecb.ll 2 9148 0 0.01 9113 0 0.01 9113 bf_enc.ll 1 55485 0 0.01 55450 0 0.01 55450 bf_ofb64.ll 1 17572 0 0.01 17537 0 0.01 17537 bf_skey.ll 1 27891 0 0.01 27856 0 0.01 27856 bftest.ll 3 66992 0 0.01 66957 0 0.01 66957 biaridecod.ll 12 46041 0 0.01 46020 0 0.01 46020 biariencode.ll 14 114832 0 0.02 114811 0 0.02 114811 bicg.ll 12 26496 0 0.01 26448 0 0.00 26448 bigfib.ll 274 491355 29 0.04 492046 9 0.05 493974 bigstack.ll 3 15230 0 0.01 15218 0 0.01 15218 bintree.ll 12 25615 0 0.01 25591 0 0.01 25591 bisect_test.ll 2 10531 0 0.01 10506 0 0.01 10506 bitap.ll 2 32801 0 0.01 32775 0 0.01 32775 bitarray.ll 4 5398 0 0.01 5361 0 0.01 5361 bitboard64.ll 21 43510 0 0.01 43488 0 0.01 43268 bitcnt_1.ll 1 2212 0 0.01 2175 0 0.01 2175 bitcnt_2.ll 1 2502 0 0.01 2465 0 0.01 2465 bitcnt_3.ll 3 9418 0 0.01 9381 0 0.01 9381 bitcnt_4.ll 2 4242 0 0.01 4205 0 0.01 4205 bitcnts.ll 5 11766 0 0.01 11729 0 0.01 11729 bitfiles.ll 4 9732 0 0.01 9695 0 0.01 9695 BitlDecoder.ll 1 3040 0 0.01 3006 0 0.01 3006 bitonic.ll 11 34090 0 0.01 34068 0 0.01 33857 bitstrng.ll 1 4796 0 0.01 4759 0 0.01 4759 bjarne.ll 42 93414 10 0.02 89765 8 0.01 87195 blas.ll 11 90399 0 0.02 90382 0 0.01 90382 block-byref-cxxobj-test.ll 1 824 0 0.01 813 0 0.01 813 block-byref-test.ll 1 815 0 0.01 806 0 0.01 806 block-call-r7674133.ll 1 1314 0 0.01 1303 0 0.01 1303 block-copied-in-cxxobj-1.ll 1 825 0 0.01 814 0 0.01 814 block-copied-in-cxxobj.ll 1 823 0 0.01 812 0 0.01 812 block.ll 19 1004072 0 0.09 1004051 0 0.09 1004051 blockstret.ll 1 1335 0 0.01 1326 0 0.01 1326 bmhasrch.ll 2 14299 0 0.01 14262 0 0.01 14262 bmhisrch.ll 4 18870 0 0.01 18833 0 0.01 18833 bmhsrch.ll 2 11714 0 0.01 11677 0 0.01 11677 bmm.ll 8 20177 0 0.01 20153 0 0.01 20153 bnchmrk.ll 3 11261 0 0.01 11237 0 0.01 11237 box_algebra.ll 3 80260 0 0.02 80231 0 0.02 80231 box_alloc.ll 5 9171 0 0.00 9142 0 0.01 9142 box.ll 20 74530 0 0.01 74501 0 0.01 74501 box_neighbors.ll 5 47073 0 0.01 47044 0 0.01 47044 Bra86.ll 1 9699 0 0.01 9683 0 0.01 9683 BraIA64.ll 1 11962 0 0.01 11946 0 0.01 11946 Bra.ll 4 23795 0 0.01 23779 0 0.01 23779 BranchCoder.ll 8 10742 0 0.01 10708 0 0.01 10708 BranchMisc.ll 25 28368 9 0.01 28685 0 0.01 28334 BranchRegister.ll 11 12023 0 0.01 11989 0 0.01 11989 brhist.ll 0 451 0 0.01 420 0 0.01 420 bstr_i.ll 1 3610 0 0.01 3573 0 0.01 3573 btActivatingCollisionAlgorithm.ll 5 11123 0 0.01 11105 0 0.01 11105 btAlignedAllocator.ll 8 13145 0 0.01 13127 0 0.01 13605 btAxisSweep3.ll 133 531944 21 0.04 526191 9 0.04 524410 btBox2dBox2dCollisionAlgorithm.ll 67 174175 4 0.02 171934 4 0.02 173504 btBox2dShape.ll 53 120802 5 0.02 118517 * * * btBoxBoxCollisionAlgorithm.ll 31 67435 0 0.01 67417 0 0.02 67417 btBoxBoxDetector.ll 34 239530 2 0.03 239266 * * * btBoxShape.ll 53 120248 5 0.02 117967 * * * btBroadphaseProxy.ll 0 449 0 0.01 431 0 0.01 431 btBvhTriangleMeshShape.ll 45 139044 3 0.02 124967 0 0.02 128154 btCapsuleShape.ll 54 128657 5 0.02 123428 * * * btCollisionAlgorithm.ll 3 6540 0 0.01 6522 0 0.01 6522 btCollisionDispatcher.ll 73 145111 3 0.02 145165 0 0.02 145093 btCollisionObject.ll 18 29521 1 0.01 28033 1 0.01 28033 btCollisionShape.ll 30 50815 4 0.01 48523 4 0.02 49415 btCollisionWorld.ll 179 487893 20 0.04 475898 * * * btCompoundCollisionAlgorithm.ll 135 315394 22 0.03 309831 7 0.03 311259 btCompoundShape.ll 90 210823 6 0.02 207856 5 0.02 210218 btConcaveShape.ll 7 9800 0 0.01 9782 0 0.01 9782 btConeShape.ll 45 93005 5 0.02 87742 3 0.02 88742 btConeTwistConstraint.ll 151 582413 16 0.05 582440 12 0.05 576236 btContactConstraint.ll 46 92768 4 0.02 90771 2 0.02 90511 btContactProcessing.ll 58 111001 6 0.02 109787 1 0.02 112377 btContinuousConvexCollision.ll 89 231275 11 0.03 229159 6 0.03 227220 btContinuousDynamicsWorld.ll 33 76264 3 0.01 75439 3 0.01 76151 btConvex2dConvex2dAlgorithm.ll 63 147491 3 0.02 146901 0 0.02 147473 btConvex2dShape.ll 18 28398 0 0.01 28380 0 0.01 27468 btConvexCast.ll 2 4053 0 0.01 4035 0 0.01 4035 btConvexConcaveCollisionAlgorithm.ll 129 282142 2 0.03 280520 2 0.03 281500 btConvexConvexAlgorithm.ll 158 417362 16 0.04 414499 6 0.04 412425 btConvexHull.ll 174 518660 43 0.05 507907 * * * btConvexHullShape.ll 58 99926 4 0.01 97541 3 0.02 97609 btConvexInternalShape.ll 52 116885 3 0.02 114685 3 0.02 113852 btConvexPlaneCollisionAlgorithm.ll 87 193900 8 0.02 193642 4 0.02 190537 btConvexPointCloudShape.ll 35 59583 3 0.02 57919 2 0.02 57970 btConvexShape.ll 67 167361 8 0.02 163873 7 0.02 161649 btConvexTriangleMeshShape.ll 66 179016 7 0.02 174283 3 0.03 176268 btCylinderShape.ll 66 139333 7 0.02 133265 5 0.02 128892 btDbvtBroadphase.ll 127 356879 22 0.03 353099 9 0.05 354125 btDbvt.ll 150 332287 29 0.03 323254 * * * btDefaultCollisionConfiguration.ll 64 193402 11 0.02 181668 * * * btDiscreteDynamicsWorld.ll 360 1073759 58 0.09 1060198 * * * btDispatcher.ll 2 4615 0 0.01 4597 0 0.01 4597 btEmptyCollisionAlgorithm.ll 6 11949 0 0.01 11931 0 0.01 11931 btEmptyShape.ll 17 27644 0 0.01 27626 0 0.01 27797 btGeneric6DofConstraint.ll 107 366734 5 0.03 364381 5 0.04 362124 btGeneric6DofSpringConstraint.ll 16 48848 0 0.01 48830 0 0.01 48830 btGenericPoolAllocator.ll 24 51374 0 0.01 51356 0 0.01 51356 btGeometryUtil.ll 36 74248 2 0.01 73461 2 0.02 74670 btGhostObject.ll 102 212251 11 0.03 209265 7 0.03 208040 btGImpactBvh.ll 143 303559 19 0.03 296208 * * * btGImpactCollisionAlgorithm.ll 227 559786 23 0.05 550822 5 0.05 554260 btGImpactQuantizedBvh.ll 157 341990 20 0.04 334416 * * * btGImpactShape.ll 203 342486 51 0.04 325474 * * * btGjkConvexCast.ll 30 78756 4 0.02 76883 3 0.02 76740 btGjkEpa2.ll 98 440569 5 0.04 445049 2 0.04 439308 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43874 0 0.01 43850 0 0.00 43850 zpath2.ll 12 29303 0 0.01 29279 0 0.01 29279 zpath.ll 18 28489 0 0.01 28465 0 0.01 28465 zrelbit.ll 15 50741 0 0.01 50717 * * * zstack.ll 10 28745 0 0.01 28721 0 0.01 28721 zstring.ll 5 36071 0 0.01 36047 0 0.01 36047 ztype.ll 16 67049 0 0.01 67025 0 0.02 65567 zvmem.ll 5 24208 0 0.01 24184 0 0.01 24184 -------------- next part -------------- IRFile NumFunctionsTotal InitialSize MergedNoPatch TimeNoPatch SizeNoPatch MergedWithPatch TimeWithPatch SizeWithPatch 2002-04-17-PrintfChar.ll 2 2172 0 0.01 2163 0 0.01 2163 2002-05-02-ArgumentTest.ll 2 3164 0 0.00 3155 0 0.00 3155 2002-05-02-CastTest1.ll 1 2121 0 0.01 2112 0 0.01 2112 2002-05-02-CastTest2.ll 2 3803 0 0.01 3794 0 0.01 3794 2002-05-02-CastTest3.ll 1 2938 0 0.01 2929 0 0.01 2929 2002-05-02-CastTest.ll 2 11291 0 0.01 11282 0 0.01 11282 2002-05-02-ManyArguments.ll 2 4222 0 0.01 4213 0 0.01 4213 2002-05-03-NotTest.ll 3 6111 0 0.01 6102 0 0.01 6102 2002-05-19-DivTest.ll 3 3553 0 0.01 3544 0 0.01 3544 2002-08-02-CastTest2.ll 2 2144 0 0.01 2135 0 0.01 2135 2002-08-02-CastTest.ll 2 1777 0 0.01 1768 0 0.01 1768 2002-08-19-CodegenBug.ll 1 2750 0 0.01 2741 0 0.01 2741 2002-10-09-ArrayResolution.ll 1 2442 0 0.01 2433 0 0.01 2433 2002-10-12-StructureArgs.ll 2 3914 0 0.01 3905 0 0.01 3905 2002-10-12-StructureArgsSimple.ll 2 2813 0 0.01 2804 0 0.01 2804 2002-10-13-BadLoad.ll 2 1695 0 0.01 1686 0 0.01 1686 2002-12-13-MishaTest.ll 2 4568 0 0.01 4559 0 0.01 4559 2003-04-22-Switch.ll 2 3916 0 0.01 3907 0 0.01 3907 2003-05-02-DependentPHI.ll 1 4621 0 0.01 4612 0 0.01 4612 2003-05-07-VarArgs.ll 2 23386 0 0.01 23377 0 0.01 23377 2003-05-12-MinIntProblem.ll 2 1971 0 0.01 1962 0 0.01 1962 2003-05-14-array-init.ll 1 2016 0 0.01 2000 0 0.01 2000 2003-05-14-AtExit.ll 2 1868 0 0.01 1859 0 0.01 1859 2003-05-14-expr_stmt.ll 2 1780 0 0.01 1764 0 0.01 1764 2003-05-14-initialize-string.ll 1 1789 0 0.01 1777 0 0.01 1777 2003-05-21-BitfieldHandling.ll 1 8810 0 0.01 8798 0 0.01 8798 2003-05-21-UnionBitfields.ll 2 3555 0 0.01 3543 0 0.01 3543 2003-05-21-UnionTest.ll 2 2331 0 0.01 2319 0 0.01 2319 2003-05-22-LocalTypeTest.ll 1 3195 0 0.01 3183 0 0.01 3183 2003-05-22-VarSizeArray.ll 2 2389 0 0.01 2377 0 0.01 2377 2003-05-23-TransparentUnion.ll 3 2753 0 0.01 2741 0 0.01 2741 2003-05-26-Shorts.ll 2 22518 0 0.01 22509 0 0.01 22509 2003-05-31-CastToBool.ll 7 6621 0 0.01 6612 0 0.01 6612 2003-05-31-LongShifts.ll 2 5739 0 0.01 5730 0 0.01 5730 2003-06-08-BaseType.ll 3 2098 0 0.01 2082 0 0.01 2082 2003-06-08-VirtualFunctions.ll 4 4118 0 0.01 4102 0 0.01 4102 2003-06-13-Crasher.ll 4 1886 0 0.01 1870 0 0.01 1870 2003-06-16-InvalidInitializer.ll 1 883 0 0.01 871 0 0.01 871 2003-06-16-VolatileError.ll 1 857 0 0.01 845 0 0.01 845 2003-07-06-IntOverflow.ll 5 6583 0 0.01 6574 0 0.01 6574 2003-07-08-BitOpsTest.ll 2 4018 0 0.01 4009 0 0.01 4009 2003-07-09-LoadShorts.ll 2 22686 0 0.01 22677 0 0.01 22677 2003-07-09-SignedArgs.ll 4 19145 0 0.01 19136 0 0.01 19136 2003-07-10-SignConversions.ll 3 4961 0 0.01 4952 0 0.01 4952 2003-08-05-CastFPToUint.ll 4 3762 0 0.01 3753 0 0.01 3753 2003-08-11-VaListArg.ll 4 25506 0 0.01 25497 0 0.01 25497 2003-08-20-EnumSizeProblem.ll 2 1358 0 0.01 1342 0 0.01 1342 2003-08-20-FoldBug.ll 2 2304 0 0.01 2295 0 0.01 2295 2003-09-18-BitFieldTest.ll 2 2547 0 0.01 2538 0 0.01 2538 2003-09-29-NonPODsByValue.ll 4 5850 0 0.01 5834 0 0.01 5834 2003-10-12-GlobalVarInitializers.ll 1 2336 0 0.01 2324 0 0.01 2324 2003-10-13-SwitchTest.ll 1 2458 0 0.01 2449 0 0.01 2449 2003-10-29-ScalarReplBug.ll 3 3638 0 0.01 3629 0 0.01 3629 2004-02-02-NegativeZero.ll 2 2157 0 0.01 2148 0 0.01 2148 2004-02-03-AggregateCopy.ll 1 2672 0 0.01 2660 0 0.01 2660 2004-03-15-IndirectGoto.ll 1 3331 0 0.01 3319 0 0.01 3319 2004-06-20-StaticBitfieldInit.ll 1 1868 0 0.01 1859 0 0.01 1859 2004-08-12-InlinerAndAllocas.ll 2 4031 0 0.01 4019 0 0.01 4019 2004-11-28-GlobalBoolLayout.ll 1 3428 0 0.01 3419 0 0.01 3419 2005-05-06-LongLongSignedShift.ll 1 1924 0 0.01 1912 0 0.01 1912 2005-05-11-Popcount-ffs-fls.ll 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16 67049 0 0.01 67025 0 0.01 67025 zvmem.ll 5 24208 0 0.01 24184 0 0.01 24184 -------------- next part -------------- A non-text attachment was scrubbed... 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- [LLVMdev] MergeFunctions: reduce complexity to O(log(N))
- [LLVMdev] MergeFunctions: reduce complexity to O(log(N))
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