[llvm-dev] LLVM's loop strength reduction module

[Raghavan, Venugopal via llvm-dev]

Hi,

Sorry I took a long time to reply as it took me some time to get some understanding of the code even to ask some specific questions (I have a test case in which LSR does not kick in and wanted to understand the code to figure out why it was not kicking in).

Here are some specific questions I have:


1)      It appears that LSR works only for the inner-most loop. Is this correct? Can you tell me why this is so? I believe SCEV works for nested loops, right?

2)      Can LSR work for those LSR uses in a nested loop whose associated formulae themselves do not span multiple loops, ie. the formulae do not have references to loops other that the one that is being processed currently? Of course, we first need to get rid of the checks which currently restrict LSR only to the innermost loop

3)      Why do we compute “chains” upfront in the CollectChains() function and then generate all the LSR uses with the associated formulae, prune the formulae, compute the solution and then finally refer to the chains computed in the first step to implement the solution? Can the chains somehow drive the LSR use and formulae generation process to restrict the latter to only those that are “interesting” for the chains computed?

4)      I may have mis-understood the code, but it seems that the function SolveRecurse() succeeds in computing a solution only if every LSR use has at least one formula associated with it. For example, if all the formulae associated with an LSR use get filtered away, it appears that the SolveRecurse() function would not compute a solution and instead say “No Satisfactory Solution”. In my example, an LSR use has all the formulae associated with it filtered away as they are all “loser” formulae and I do not get a solution from the SolveRecurse() function. Is it correct for the SolveRecurse() function to ignore LSR uses without any associated formulae and come up with a solution that involves the other LSR uses? Maybe, this will create an inefficient solution, but would it create an incorrect solution? Right now, SolveRecurse() seems to take an all-or-nothing approach. My apologies if I have completely mis-understood the concepts of LSR use and formulae but I am just trying to understand all this from the code and that is proving very difficult to do

5)      Given the current implementation in SolveRecurse() function, why not check if there are LSR uses with no associated formulae and not even execute the SolveRecurse() function? This would avoid some compile time overhead, wouldn’t? SolveRecurse() does not need to be called if an LSR use has an empty formulae set associated with it because even if you called it you would not get a solution from it, right?

Thanks.

Regards,
Venugopal Raghavan

From: qcolombet at apple.com [mailto:qcolombet at apple.com]
Sent: Friday, July 07, 2017 2:16 AM
To: Raghavan, Venugopal <Venugopal.Raghavan at amd.com>
Cc: llvm-dev at lists.llvm.org; Madhur Amilkanthwar <madhur13490 at gmail.com>
Subject: Re: [llvm-dev] LLVM's loop strength reduction module

Hi Raghavan,

I concur no specific docs.
What do you want to know specifically?

Cheers,
-Quentin
On Jul 5, 2017, at 11:16 PM, Madhur Amilkanthwar via llvm-dev <llvm-dev at lists.llvm.org<mailto:llvm-dev at lists.llvm.org>> wrote:

AFAIK, no official doc.
You can probably get better help if you ask specific questions (which part of the code you don't understand).

On Thu, Jul 6, 2017 at 9:53 AM, Raghavan, Venugopal via llvm-dev <llvm-dev at lists.llvm.org<mailto:llvm-dev at lists.llvm.org>> wrote:
Hi,

My name is Venugopal Raghavan and I work in AMD. I was trying to understand the code in the file LoopStrengthReduce.cpp but I am making very slow progress.

Is there any additional documentation available that would help me understand the code, like a PPT presentation or a design document or maybe a paper? I did not find anything on the Internet.

There are comments interspersed in the code which are helpful but don’t seem sufficient for me to get a good understanding of the code.

Thanks.

Regards,
Venu.

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Thank You.
Madhur D. Amilkanthwar
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