Such bugs are mostly caused by rounding. But what does exactly happen there? And how? The answer is here, let's divide 400000 by 600 If the input arguments are float: 400000/600 = 666.666687 If the input arguments are double: 400000/600 = 666.666667 This is nice, but shouldn't the same rounding error should happen on ALL machines? The understand this better, we need to see what exactly happen on lower (machine code) levels. The systems use registers to temporary keep the values of arithmetic. On x86, these registers have fixed size (10 byte for x87 fpu, and 8 byte for SSE2), and all arithmetic operations are executed using the highest precision. However, results are rounded to the storage size if we move the data to the memory. Let's we have a super simple x86 machine with 2 double precision registers, d1 and d2, and we want to evaluate: (A*B)+(C*D). The following pesudo code show this: LOAD A to d1 MULTIPLY B to d1 LOAD C to d2 MULTIPLY D to d2 ADD d1 and d2 However, what does happen, if let's say, d2 is reserved for some reasons: LOAD A to d1 MULTIPLY B to d1 STORE d1 to [4 byte mem area] // CONVERSION HERE!!! LOAD C to d2 MULTIPLY D to d2 ADD d1 and [4 byte mem area] There are several versions of such code, but the issue is the same: moving data to a storage with different precision cause rounding. However, if the data is not need to be moved (because it is in the right register at the moment), the rounding is ALSO optimized out by the compiler, and you may get a different result on different platforms. Solution? I can't see a good solution. Storing everything on the highest precision would increase the memory consumption too much. Furthermore, these differences are hardly visible to the user. However, it is a nightmare for platform maintainers, you need to maintain too many expected files. I think we should live with it now, and try to reduce these bugs.
> LOAD A to d1 > MULTIPLY B to d1 > STORE d1 to [4 byte mem area] // CONVERSION HERE!!! > LOAD C to d2 > MULTIPLY D to d2 > ADD d1 and [4 byte mem area] My bad, the second example was wrong. It should look like: LOAD A to d1 MULTIPLY B to d1 STORE d1 to [4 byte mem area] // CONVERSION HERE!!! LOAD C to d1 MULTIPLY D to d1 ADD d1 and [4 byte mem area]
FTR, chromium/linux/ia32 builds with -mfpmath=sse -msse2 to avoid this sort of problem: http://codesearch.google.com/codesearch/p?hl=en#OAMlx_jo-ck/src/build/common.gypi&q=file:build/common.gypi&exact_package=chromium&l=1211
Please add this bug https://bugs.webkit.org/show_bug.cgi?id=54474 as a dependency
Add more dependencies.
All dependent bugs are fixed now, do we need to track anything else here? Thanks!
All dependent bugs are fixed. So marking this as 'RESOLVED CONFIGURATION CHANGED'. Please reopen renew bug as needed.