Jonas Paulsson via llvm-dev
2018-Dec-03 16:20 UTC
[llvm-dev] MatchLoadCombine(): handling for vectorized loop.
Hi, I have noticed some loops that build a wider element by loading small elements, zero-extending them, shifting them (with different amounts) to then 'or' them all together. They are either equivalent of a wider load, or to that of a byte-swapped one. DAGCombiner::MatchLoadCombine() will combine this to a single wide load, but only in the scalar cases of i16, i32 and i64. The result is that these loops (I have seen a dozen or so on SPEC) get vectorized with a lot of ugly code. I have begun to experiment with handling the vectorized loop also, and would like to know if people think this would be a good idea? Also, am I right to assume that it probably should be run before type legalization? /Jonas
Friedman, Eli via llvm-dev
2018-Dec-03 23:37 UTC
[llvm-dev] MatchLoadCombine(): handling for vectorized loop.
On 12/3/2018 8:20 AM, Jonas Paulsson wrote:> Hi, > > I have noticed some loops that build a wider element by loading small > elements, zero-extending them, shifting them (with different amounts) > to then 'or' them all together. They are either equivalent of a wider > load, or to that of a byte-swapped one. > > DAGCombiner::MatchLoadCombine() will combine this to a single wide > load, but only in the scalar cases of i16, i32 and i64. The result is > that these loops (I have seen a dozen or so on SPEC) get vectorized > with a lot of ugly code. > > I have begun to experiment with handling the vectorized loop also, and > would like to know if people think this would be a good idea? Also, am > I right to assume that it probably should be run before type > legalization? >You mean, trying to merge some combination of vector loads and shuffles into a single vector load in DAGCombine? That seems sort of late, given the cost modeling involved in vectorization. See also http://lists.llvm.org/pipermail/llvm-dev/2018-February/121000.html ? -Eli -- Employee of Qualcomm Innovation Center, Inc. Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, a Linux Foundation Collaborative Project
Jonas Paulsson via llvm-dev
2018-Dec-04 09:01 UTC
[llvm-dev] MatchLoadCombine(): handling for vectorized loop.
Hi Eli, On 2018-12-04 00:37, Friedman, Eli wrote:> On 12/3/2018 8:20 AM, Jonas Paulsson wrote: >> Hi, >> >> I have noticed some loops that build a wider element by loading small >> elements, zero-extending them, shifting them (with different amounts) >> to then 'or' them all together. They are either equivalent of a wider >> load, or to that of a byte-swapped one. >> >> DAGCombiner::MatchLoadCombine() will combine this to a single wide >> load, but only in the scalar cases of i16, i32 and i64. The result is >> that these loops (I have seen a dozen or so on SPEC) get vectorized >> with a lot of ugly code. >> >> I have begun to experiment with handling the vectorized loop also, >> and would like to know if people think this would be a good idea? >> Also, am I right to assume that it probably should be run before type >> legalization? >> > You mean, trying to merge some combination of vector loads and > shuffles into a single vector load in DAGCombine? That seems sort of > late, given the cost modeling involved in vectorization. >What happens specifically is that a scalar loop that is written (most likely at source level) like /// i8 *a = ... /// i32 val = a[0] | (a[1] << 8) | (a[2] << 16) | (a[3] << 24) becomes during DAGCombine (this is from the comment in DAGCombiner.cpp:5750) /// => /// i32 val = *((i32)a) I also wondered why this is done so late but found in the commit message (b52af07 / r293036) that there had been a discussion where this had intentionally been addressed late: "...We came to the conclusion that we want to do this transformation late in the pipeline because in presence of atomic loads load widening is irreversible transformation and it might hinder other optimizations..." The loop vectorizer looks at such a loop and thinks the scalar loop costs 13 and VF=4 costs 5. The cost for the vectorized loop is about right, but the scalar loop becomes much better with the help of MatchLoadCombine(): just 2 instructions (load + store). The vector loop could also have been just 2 instructions: Vector Load + Vector Store, but instead it does Vector Load + vector shuffles, vector zero extensions, vector element shifts, vector ors and the Vector Store :-( It would be very far-fetched to correct the cost for the scalar loop in the LoopVectorizer. It seems like a better idea to implement the handling for the vectorized loop also in DAGCombiner. As an alternative, we could just ignore this I guess... My patch does a recursive search starting at an ISD::Or node and then tries to prove that the sub-DAG with all the ors, shifts and extends is equivalent to the original Vector Load, possibly in reversed order. I think that's a somewhat simpler problem than what the scalar loop handling of MatchLoadCombine() is doing.> See also > http://lists.llvm.org/pipermail/llvm-dev/2018-February/121000.html ? >+ at Florian: I think SLP awareness in LoopVectorizer would be great and wonder now what happened with this? (It seems however SLP is not able to handle this type of loop). /Jonas
Possibly Parallel Threads
- MatchLoadCombine(): handling for vectorized loop.
- Disabling DAGCombine's specific optimization
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