The Gibbon Compiler
Gibbon is an experimental compiler that transforms high-level functional programs to operate on serialized data.
Typically, programs that process tree-like data represent trees using pointer-based data structures in memory (one heap object per-leaf and per-node) because such a layout is convenient to manipulate in a high-level programming language. This is also generally distinct from the representation of the data in serialized form on disk, which means that a program must perform some sort or marshaling when working with serialized data. Gibbon unifies the in-memory and serialized formats, transforming recursive functions to operate directly on serialized data.
Additionally, while the pointer-based structure is efficient for random access and shape-changing modifications, it can be inefficient for traversals that process most or all of a tree in bulk. The Gibbon project aims to explore optimizations of recursive tree transforms by changing how trees are stored in memory.
Currently, the Gibbon compiler has multiple front-ends: an s-expression synax similar to Typed Racket, and a small subset of Haskell.
Building Gibbon
Gibbon is implemented in Haskell, and is set up to be built with Cabal. After you install Cabal, proceed to installing Gibbon's dependencies:
- Ubuntu (works on 18.04, fails on 20.041]):
$ sudo apt-get install libgc-dev libgmp-dev gcc-7 uthash-dev software-properties-common
$ sudo add-apt-repository ppa:plt/racket && sudo apt update && sudo apt install racket
$ sudo add-apt-repository ppa:hvr/ghc && sudo apt update && sudo apt install ghc-9.0.1 cabal-install-3.4
- Add
/opt/ghc/bin
to path forcabal
andghc
to work. - Install haskell stack using steps at
https://docs.haskellstack.org/en/stable/install_and_upgrade/
(works with stack2.7.3
, the version in18.04
, i.e. stack1.5.1-1
givesAesonException "Error in $['system-info']: key \"os\" not present"
) - Make gcc-7.5 the default gcc with
sudo ln -sf /usr/bin/gcc-7 /usr/bin/gcc
1 Header files cilk/cilk.h
and cilk/cilk_api.h
are not present in libgcc-7-dev
which comes with 20.04
- OSX:
You can install some of the dependencies using Homebrew:
$ brew install libgc gmp gcc@7 ghc@9
Others require a few extra steps:
-
Racket: Follow the instructions on it's website
-
uthash: Clone the repository and copy all the
.h
files insrc
to/usr/local/include
After you have both Cabal and all the dependencies installed, you can build Gibbon from source:
$ git clone https://github.com/iu-parfunc/gibbon
$ cd gibbon && source set_env.sh
$ cd gibbon-compiler && cabal v2-build . -w ghc-9.0.1
At this point you can run the Gibbon executable:
$ cabal v2-exec -w ghc-9.0.1 gibbon -- -h
If you'd like to run the testsuite, you can do so with:
$ cd $GIBBONDIR && ./run_all_tests.sh
Using Gibbon
A valid Gibbon program can be written using Haskell syntax or using Racket-like s-expression syntax.
Gibbon doesn't support every Haskell feature supported by GHC,
but informally, many simple Haskell-98 programs (sans monads) are valid Gibbon programs.
One thing to note is that the main point of entry for a Gibbon program is a
function named gibbon_main
, as opposed to the usual main
.
Here's a simple Gibbon program that builds a binary tree and sums up its leaves in parallel
using a parallel tuple (par
):
module Main where
data Tree = Leaf Int
| Node Int Tree Tree
mkTree :: Int -> Tree
mkTree i =
if i <= 0
then Leaf 1
else
let x = (mkTree (i-1))
y = (mkTree (i-1))
in Node i x y
sumTree :: Tree -> Int
sumTree foo =
case foo of
Leaf i -> i
Node i a b ->
let tup = par (sumTree a) (sumTree b)
x = fst tup
y = snd tup
in x + y
gibbon_main = sumTree (mkTree 10)
The Gibbon compiler is able to run in several modes, which are configured via command line flags.
Most important are the flags --packed
which means "packed mode" (use serialized data structures),
--run
which means "compile then run", and --parallel
which means "enable parallel execution".
You can use these to run the above program as follows:
$ gibbon --run --packed --parallel Bintree.hs
This creates a file Bintree.c
which contains the C-code,
and a Bintree.exe
which is the executable for this program.
Running ./Bintree.exe
prints 1024
, the value of sumTree (mkTree 10)
.
There are many other Gibbon features which can be learned by looking at the
programs under ./examples/parallel/
, and more flags
which can be printed with gibbon --help
.
To view a complete set of primitives supported by Gibbon, you can look at the Gibbon.Prim
module located at gibbon/gibbon-stdlib/Gibbon/Prim.hs
.
About this repository
This primarily stores the Gibbon compiler, an implementation of a high-performance functional language.
This repository also contains a collection of sub-projects related to benchmarking tree traversals and performing tree traversals on packed representations. Here is a guide to the subdirectories:
-
gibbon-compiler - the prototype compiler for the Gibbon language of packed tree traversals.
-
gibbon - a Racket #lang for Gibbon.
-
ASTBenchmarks - benchmark of treewalks (compiler passes) on ASTs written with Gibbon. Also includes scripts to fetch input datasets.
-
BintreeBench
- a submodule containing the tiniest binary tree microbenchmark, implemented several different languages and compilers. -
core-harvest - tools to harvest realistic, large ASTs (mainly Racket) from the wild.
-
DEVLOG.md - detailed documentation for those hacking on this repository.