As it's causing some bot failures (and per request from kbarton).
This reverts commit r358543/ab70da07286e618016e78247e4a24fcb84077fda.
llvm-svn: 358546
Currently SCEV attempts to limit transformations so that they do not work with
big SCEVs (that may take almost infinite compile time). But for this, it uses heuristics
such as recursion depth and number of operands, which do not give us a guarantee
that we don't actually have big SCEVs. This situation is still possible, though it is not
likely to happen. However, the bug PR33494 showed a bunch of simple corner case
tests where we still produce huge SCEVs, even not reaching big recursion depth etc.
This patch introduces a concept of 'huge' SCEVs. A SCEV is huge if its expression
size (intoduced in D35989) exceeds some threshold value. We prohibit optimizing
transformations if any of SCEVs we are dealing with is huge. This gives us a reliable
check that we don't spend too much time working with them.
As the next step, we can possibly get rid of old limiting mechanisms, such as recursion
depth thresholds.
Differential Revision: https://reviews.llvm.org/D35990
Reviewed By: reames
llvm-svn: 352728
Current implementation of SCEVExpander demonstrates a very naive behavior when
it deals with power calculation. For example, a SCEV for x^8 looks like
(x * x * x * x * x * x * x * x)
If we try to expand it, it generates a very straightforward sequence of muls, like:
x2 = mul x, x
x3 = mul x2, x
x4 = mul x3, x
...
x8 = mul x7, x
This is a non-efficient way of doing that. A better way is to generate a sequence of
binary power calculation. In this case the expanded calculation will look like:
x2 = mul x, x
x4 = mul x2, x2
x8 = mul x4, x4
In some cases the code size reduction for such SCEVs is dramatic. If we had a loop:
x = a;
for (int i = 0; i < 3; i++)
x = x * x;
And this loop have been fully unrolled, we have something like:
x = a;
x2 = x * x;
x4 = x2 * x2;
x8 = x4 * x4;
The SCEV for x8 is the same as in example above, and if we for some reason
want to expand it, we will generate naively 7 multiplications instead of 3.
The BinPow expansion algorithm here allows to keep code size reasonable.
This patch teaches SCEV Expander to generate a sequence of BinPow multiplications
if we have repeating arguments in SCEVMulExpressions.
Differential Revision: https://reviews.llvm.org/D34025
llvm-svn: 305663
Eric Christopher