Sunday, July 25, 2010

The Great Haskell Compiler shootout

David has been working very hard recently on improving LHC and the nobench benchmark suite, in order to actively benchmark LHC against several other haskell compilers: GHC, JHC and UHC.

I figured I'd pop in and announce the benchmarks now that the latest HEAD version of LHC can compile many of them and we can get some meaningful numbers. You can see the results here. Note there are two columns for JHC: one using john's new garbage collector (via `-fjgc`) and one without, because naturally it tends to affect performance characteristics quite a bit. Some of the numbers are quite interesting: in particular, JHC is nearly 400x faster(!) than GHC on the atom benchmark, and UHC dominates the calendar benchmark currently (we haven't investigated why GHC isn't winning here.) There are also some interesting variations in JHC, where the garbage collector wins in some cases, loses in others, but makes the difference in some between actually running and running out of memory (as you would expect.)

Perhaps somewhat regrettably, LHC loses in every benchmark. But we're only just beginning to implement real optimizations now that things are somewhat stabilized and the interface isn't arcane - prior to this we had very few optimizations outside of dead code elimination, simplification and a bit of inlining. David's begun implementing some more exotic optimizations recently, so it'll be interesting to see the results soon.

Now we'll be able to more actively see the progress of optimizing haskell compilers. Should be fun!

Friday, June 11, 2010

Mirroring Boquists' GRIN papers

Urban Boquists PhD thesis, Code Optimization Techniques for Lazy Functional Languages, and its accompanying website have gone offline. Because these papers describe GRIN, the intermediate language we use in LHC, I have decided to mirror Boquist's 3 GRIN-related papers on my own server here.

If someone inside Chalmers could explain where his papers moved and if we could get them back online, that would be great!

Saturday, May 29, 2010

The new interface

After hacking away for a little bit, I've finally gotten the new user interface for LHC working!

a ~/code/lhc/test $ lhc --help
The LHC Haskell Compiler, v0.11, (C) 2009-2010 David Himmelstrup, Austin Seipp

lhc [FLAG] [FILE]
Compile Haskell code

-? --help[=FORMAT] Show usage information (optional format)
-V --version Show version information
-v --verbose Higher verbosity
-q --quiet Lower verbosity
--llvm Use LLVM backend
--ghc-opts=VALUE Give GHC frontend options
-i --install-library Don't compile; install modules under a library
-b --build-library Used when compiling a library (cabal only)
-O =VALUE Set optimization level (default=1)
--numeric-version Raw numeric version output
--supported-languages List supported LANGUAGE pragmas
-c Do not link, only compile
-o =VALUE output file for binary (default=a.out)
--src-dir=VALUE source code directory
a ~/code/lhc/test $ lhc HelloWorld.hs
[1 of 1] Compiling Main ( HelloWorld.hs, HelloWorld.o )
.....................
Found fixpoint in 7 iterations.
Lowering apply primitives... done in 0.09s
Heap points-to analysis... ...........................done in 0.95s
HPT fixpoint found in 27 iterations.
..................................................................................
Found fixpoint in 11 iterations.
Compiling C code... done in 0.11s
a ~/code/lhc/test $ ./HelloWorld
Hello, world!
a ~/code/lhc/test $

The changes should be landing shortly. It will require a patch to Cabal. There is also a bug in cabal/cmdargs that I have not yet tracked down which makes installing cabal packages difficult, although still possible, with this new scheme.

Edit 6-2-2010: all of the necessary patches have been pushed to both LHC and Cabal to make the new user interface work. Try it out (install using 'cabal install -fwith-libs' provided you have the darcs HEAD version of Cabal,) and tell us of any corner cases on IRC (#lhc-compiler on freenode)!

Thursday, May 27, 2010

A new user interface for LHC

The current user interface for LHC is pretty unwieldy - it requires you to invoke lhc twice: once to generate an external core file, and another to generate the executable with LHC itself.

There are a couple of problems with this:
  1. It requires -you- to keep track of the generated .hcr files, which is a PITA.
  2. It makes the test suite complicated, as we currently our own regression tool to handle things like #1. I would like to use Simon Michael's excellent shelltestrunner library, but the two-step compilation process would make the test files nastier than they would be, and it so we currently maintain our own regression tool.
  3. It made some of LHC's code very gross: we basically copied GHC's "Main.hs" file and stuck it in our source tree with some modifications, because we need to be able to accept all GHC options, even "insert arbitrary ghc option here" (for general usage, and cabal install support.) This was - as you could guess, incredibly fragile in terms of maintenance and fowards/backwards compatibility.
So now I've devised a new approach. We will instead run GHC in the background, twice: the first, we will call GHC to compile your code with your provided options, and we will generally always stick something like '--make -fext-core -c' onto your command line to generate external core. The second time, we will call GHC again, but instead we will call ghc with the '-M' command line flag. This flag calls GHC to generate a Makefile that describes the dependency information between modules. Running it on Tom Hawkin's atom project, you get something like this:

# DO NOT DELETE: Beginning of Haskell dependencies
Language/Atom/Expressions.o : Language/Atom/Expressions.hs
Language/Atom/Elaboration.o : Language/Atom/Elaboration.hs
Language/Atom/Elaboration.o : Language/Atom/Expressions.hi
Language/Atom/Analysis.o : Language/Atom/Analysis.hs
Language/Atom/Analysis.o : Language/Atom/Expressions.hi
Language/Atom/Analysis.o : Language/Atom/Elaboration.hi
Language/Atom/Scheduling.o : Language/Atom/Scheduling.hs
Language/Atom/Scheduling.o : Language/Atom/Elaboration.hi
Language/Atom/Scheduling.o : Language/Atom/Analysis.hi
Language/Atom/Language.o : Language/Atom/Language.hs
Language/Atom/Language.o : Language/Atom/Expressions.hi
Language/Atom/Language.o : Language/Atom/Elaboration.hi
Language/Atom/Language.o : Language/Atom/Elaboration.hi
Language/Atom/Common.o : Language/Atom/Common.hs
Language/Atom/Common.o : Language/Atom/Language.hi
Language/Atom/Code.o : Language/Atom/Code.hs
Language/Atom/Code.o : Language/Atom/Scheduling.hi
Language/Atom/Code.o : Language/Atom/Expressions.hi
Language/Atom/Code.o : Language/Atom/Elaboration.hi
Language/Atom/Code.o : Language/Atom/Analysis.hi
Language/Atom/Compile.o : Language/Atom/Compile.hs
Language/Atom/Compile.o : Language/Atom/Language.hi
Language/Atom/Compile.o : Language/Atom/Elaboration.hi
Language/Atom/Compile.o : Language/Atom/Scheduling.hi
Language/Atom/Compile.o : Language/Atom/Code.hi
Language/Atom.o : Language/Atom.hs
Language/Atom.o : Language/Atom/Language.hi
Language/Atom.o : Language/Atom/Common.hi
Language/Atom.o : Language/Atom/Compile.hi
Language/Atom.o : Language/Atom/Code.hi
# DO NOT DELETE: End of Haskell dependencies

This tells us the location of where all the generated object files are. GHC will put external core files next to these other object files (in all cases, as you cannot redirect the output location of external core files.) So we can just parse this simple Makefile, remove duplicates, and substitute '.o' files for '.hcr' files. LHC takes care of the rest.

This is of course in the event you want to compile an executable. If you want to compile a library, it's mostly the same, only when we parse the files we just store them for later.

But what about "obscure ghc option"? No fear! We'll just provide something like a --ghc-options flag which will get passed onto GHC's invocations. LHC can then have it's own, more general command line interface to control various options in the whole-program stages (on this note, Neil Mitchell's cmdargs library is amazing for this stuff!)

For default options to GHC, I think we should perhaps stick to the Haskell 2010 standard - that is, by default, LHC will run GHC with language options to enable compilation of compliant Haskell 2010 code without any OPTIONS_GHC or LANGUAGE pragmas. Optimization levels for GHC can be implied by LHC's supplied optimization level or explicitly via --ghc-options.

Comments are always welcome.

Monday, May 24, 2010

Limited release.

This release of lhc-0.10 marks the move to GHC-6.12 and hopefully a more stable build infrastructure. As it stands, lhc-0.10 still lacks support for several important features, such as floating point values and large parts of the FFI.

To install LHC you need the development versions of Cabal and cabal-install. They can be fetched from these darcs repositories:

darcs get --lazy http://darcs.haskell.org/cabal
darcs get --lazy http://darcs.haskell.org/cabal-install

Once you've installed both Cabal and cabal-install, lhc-0.10 can be installed with the following command:

cabal install lhc-0.10


Here's how to use LHC once it has been successfully installed:

lhc -c SourceFile.hs # This compiles SourceFile.hs to SourceFile.hcr
lhc compile SourceFile.hcr # This compiles SourceFile.hcr to the executable SourceFile.
./SourceFile


Happy Hacking.

Tuesday, May 18, 2010

Laziness and polymorphism.

This may be obvious to some but I truly didn't grok the relationship between laziness and polymorphism before I started work on LHC.

The Haskell language has two very distinguishing features: Laziness and parametric polymorphism. At a glance, these two features may not seem to have that much in common. However, laziness can be seen as a form of implicit polymorphism (and it tends to be implemented as such). Consider the function with the following type signature:

f :: Integer -> Integer

One could say this function is polymorphic in the first argument: The argument can either be an actual Integer or it can be something that evaluates to an Integer. When we look at laziness as a form of polymorphism, it becomes clear that eliminating polymorphism will also eliminate laziness.
This is largely irrelevant for the average Jane Doe hacker. But if you're working on optimizations aimed at improving the time or space characteristics by eliminating "unwanted" polymorphism, it becomes important to keep laziness in mind. The hint here is for adaptive containers.

Well, to make a short story even shorter: Laziness and polymorphism are different sides of the same coin. If you optimize away polymorphism, you will (perhaps inadvertently) also squash laziness.

All this is obvious in retrospect but I didn't get it until it was right in front of me.

Friday, September 4, 2009

Yet another unfair benchmark.

A lot of things has happened in LHC over the last couple of weeks. With the inclusion of Integer and IEEE float support, LHC is finally usable enough for simple benchmarks.

I've excavated the old 'nobench' benchmark and pitched four Haskell implementation up against each other. It should be noted that these benchmark numbers are even more unreliable than usual. UHC's C backend doesn't work on x84-64 and thus it compiles to bytecode. All in all, you should trust benchmarks as much as you trust politicians.

The benchmark results can be found here: http://darcs.haskell.org/~lemmih/nobench/x86_64/results.html.

The results are updated frequently.

The benchmark source can be found here: http://nobench.seize.it/