x86 update

Matthew Fluet Matthew Fluet <fluet@CS.Cornell.EDU>
Fri, 13 Oct 2000 00:37:31 -0400 (EDT)


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> Great.  I'm itching to start using it.  Maybe I'll even see how we do on the
> raytrace benchmark :-)

Well, I've been enjoying the discussion.  Anyways, here's the updated
files:

bin.tgz: /bin
 -> not really for the distribution, just a collection of scripts that
    run the x86backend since I still haven't been able to modify the
    front-end to expect .s files being generated

popt.tgz: /src/lib/mlton/basic/popt.sig
          /src/lib/mlton/basic/popt.fun
 -> added a case to parse a boolean option

primitive.tgz: /src/basis-library/misc/primitive.sml
 ->  Real_round from _ffi to _prim

prim.tgz: /src/mlton/atoms/prim.sig
          /src/mlton/atoms/prim.fun
 ->  Real_round added as a primitive

main.tgz:  /src/mlton/main/main.sml
 -> command line options
   -> deleted   global-floats 
   -> modified  native-commented  (now takes an integer indicating level)
   -> added     native-split
                native-copy-prop

control.tgz: /src/mlton/control/control.sig
             /src/mlton/control/control.fun
 -> options
   -> deleted   global-floats
   -> modified  native-commented 
   -> added     native-split
                native-copy-prop
 -> added  traceBatch  function which computes the total time spent
     in a function over multiple calls
 -> restored  fun done()  in  traceCall  which I had hacked to avoid 
     using Time.toString (which requires Real.toString) when floating-point
     wasn't supported

backend.tgz: /src/mlton/backend/machine/backend.fun
 -> changed the  !Control.globalDoubles  to  !Control.native
 -> this corresponds to the version Steve sent me yesterday

x86-codegen.tgz: /src/mlton/backend/x86-codegen
 -> numerous changes


I think that the new backend.fun created a new bug; the mlyacc benchmark
diverges in the backend/allocate-registers phase (this time I'm sure it's
that phase) under the nj-mlton version of MLton (and the
x86-self-compiled), using both code-generators.  Every other regression
and benchmark succeeds under the x86-self-compile.  Note, I think in
Steve's scripts for running the benchmarks, he special cases the mlyacc
benchmark (-no-polyvariance?).  This is occuring for me with no additional
options.

Of the floating-point benchmarks, it's pretty much 75%-98% running times
for all of them except matrix-multiply and zern, which are like 107% and
140% respectively.  I haven't really started investigating why yet.  I'd
be interested in seeing if there is any improvement over the c-codegen on
the raytracing stuff.  The x86mlton script in the bin.tgz should allow you
to compile a file test.sml as follows:
x86mlton test    -- no .sml
You can add arguments to mlton after the file name:
x86mlton test -v -no-polyvariance 
The scripts call whatever mlton is in your path, so make sure it's one
that recognizes the -native option.

So, there's a bunch of new stuff in the x86-codegen.  First, as I
mentioned awhile ago, there is steadily improving floating-point support.
I think I'm still missing a few of the Real_ primitives, like pow,
arc-trig functions, and exp.  I think I can get those all to native-code
without too much difficulty; I just wanted to get to a stable version
before trying to add them in.  Originally, I had very poor performance on
the floating-point intensive applications.  This stemmed primarily from
poor floating-point instruction selection and floating-point stack
management.  The instruction selection stemmed from the fact that I
couldn't easily determine when I could use the auto-popping versions of
instructions.  The stack management stemmed from the fact that deciding
that I could trash a value in the stack required exchanging it with the
top and popping it (when maybe it would be better to just leave it where
it was until I popped everything above it).  The solution to the second 
problem was to simply allow a "try" version of commit and remove values 
from the stack; the try versions are only activated on values at the
top of the stack.  If anything really needs to be committed or removed, 
the original, non try, version is used, which might entail some
exchanges.

The solution to the first problem was to calculate and incorporate more
liveness information in the register-allocation phase.  This is (somewhat) 
different liveness information than I'm using regarding the
psuedo-registers.  For the register-allocation, I'm using the liveness of
the psuedo-registers, but also of all the other memory locations that I
can track.  Hence, I calculate the last uses and defs of things like
SP(12) and OI(RP(3), 4).  This lets me make some better decisions on when
to load things into a register and when to use them from memory. Likewise,
it let's me decide that it's o.k. to auto-pop the source operand for a
floating-point operation.  (This second part is where I'm really seeing
benefit; I thought the first might buy me something, but I don't see it
that much).

Other things.  I found a bug in my peephole optimizer matching function
which would only find a match if the first partial match succeeding in
being a full match.  Surprisingly (I think because of the small block
sizes) this actually was o.k for most optimizations.  Unfortunately, it
missed some, so I fixed it.  On the down side, it runs much slower on very
large blocks.  This seems to explain why smith-normal-form had a much
better compile time under the x86-codegen than under gcc.  The huge
initGlobals_0 block is just very tempting for gcc to optimize, yet there
really isn't anything that can be done.  Likewise, the peephole matcher
runs very, very slowly on that large a block (basically because most of
patterns I'm looking for begin with a move, and the initialization is all
moves, so almost every line looks like the beginning of a partial match). 
The hack/solution that I've added is to simply forgoe doing peephole
optimizations on the initGlobals_0 chunk.  Since it's only executed once,
and none of the current peephole optimizations really make any difference,
it's not hurting me.  The same thing goes for register allocation; don't
calculate the liveness information, because it doesn't really help much
and the conservative register-allocation is fine for this block.  On the
other hand, it might be worth considering if there is a way of improving
the code for a large set of consecutive allocations, but I'm not sure what
that would be. 

I incorporated the while loop into the limitCheck, so threads shouldn't
have a problem.

One thing that I'm still working on fine-tuning is a simple
copy-propagation phase of the simplifier.  This might relate to the
previous discussion about large environment tuples being deconstructed,
but I think my motivation simply came from one of the floating-point
benchmarks that was deconstructing an argument tuple.  Anyways, at some
time, I hadn't been keeping track of the depth of the floating point
stack, and I came across a regression/benchmark that had code like:
RD(0) = OD(SP(10), 0)
RD(1) = OD(SP(10), 8)
...
RD(14) = OD(SP(16), 0)
RD(15) = OD(SP(16), 8)
And, of course none of these pseudo-regs were dead, so I tried keeping
them in the floating-point stack, and predictably, made the stack
overflow.  So, after fixing the floating-point stack register-allocation
to handle the fixed depth, I really disliked the code, which looked like
fldl xxx
fldl xxx
...
fxch %sp(7)  -> after loading 8, we need to clear up some space for the
fstl yyy        next one; and the slot with the lowest weight (i.e.,
                hasn't been used in the longest time) is of course at the
                bottom.

And we continue exchanging elements and saving them out to memory.  That
was kind of annoying; even more annoying was the fact that the uses of the
psudeo regs were like this:

SP(28) = Real_add(RD(0), RD(8))

and then they were dead.  So, copy-propagation seemed to be the answer.
And, it does fix this problem.  And seems to help in other places.  Of
course, in some places, it seems to hurt the runtime performance.  My
conjecture, which I can partially verify in some benchmarks, is that these
deconstructions occuring at the beginning of a block were really doing a
primitive form of load-hoisting.  Unfortunately, it blew up in our faces
when we tried to load more elements than we had registers.  On the other
hand, after all the copy propagation, we end up loading values immediately
before using them, probably causing some stalls.  So, I'm not quite sure
what the right answer to this will be.  Perhaps I will look into doing
some load-hoisting on the allocated-code.

I think those were the major changes.  I've added a few more peephole
optimizations (mostly for floating-point) and spent a lot of time tracking
down bugs in the new register-allocator with liveness.

One last thing to mention: I haven't implemented the overflow detecting
primitives yet.  As Steve mentioned, I don't think adding them in will be
very difficult at all.  And most of the peephole optimizations can be
modified to check for the jo instruction and make sure that they use it
correctly (particularly the multiplication by a power of two).  However,
some of the biggest winning optimizations are going to be unavailable in
the presence of these overflow detections (I think).  But, I'll write up
some more on this after I've experimented some. 


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