PySOM - The Simple Object Machine Smalltalk

Threaded Code Generation

Threaded code is a code style that essentially consists of a call instruction to each handler. So, threaded code generation is a technique to produce threaded code-style code with RPython. This customized PySOM implementation demonstrates how threaded code generation is implemented and how it works.

To compile the threaded code PySOM, you should prepare a customized PyPy implementation.

hg clone https://foss.heptapod.net/pypy/pypy -r threaded-code-generation

Then, you need to type the following command to build the threaded code PySOM:

make som-bc-jit SOM_TIER=1

SOM_TIER is an environmental variable to specify the starting level of compilation.

• Starting from threaded code generation: make som-bc-jit SOM_TIER=1
  • Producing som-bc-jit-tier1
• Starting from tracing JIT: make som-bc-jit SOM_TIER=2
  • Producing som-bc-jit-tier2
• Enable hybrid compilation, starting from threaded code generation and then shifting to tracing compilation: make som-bc-jit SOM_TIER=3
  • Producing som-bc-jit-tier3

Building Threaded Code Generation

You need to add rtime_ext and rkrun to PYTHONPATH build this version of PySOM. Both libraries are needed to measure benchmarking data.

export PYTHONPATH=/path/to/rtime_ext:/path/to/rkrun:$PYTHONPATH

Benchmarking

To remove noises, we recommend add isolcpus=1-3 for example to GRUB_CMDLINE_LINUX_DEFAULT.

For benchmarking, the prerequisite is ReBench and our SOM repository.

ReBench, which is developed by Dr. Stefan Marr, a benchmarking tool written in Python. ReBench is supported in Python 3. To install ReBench:

pip3 install rebench

Also, you need to install SOM standard library. To install our customized SOM:

# you are currently in PySOM repository
cd ..
git clone https://github.com/prg-titech/SOM.git

Introduction

SOM is a minimal Smalltalk dialect that was used to teach at the Hasso Plattner Institute and before that at the University of Århus (Denmark) where it was used for teaching and as the foundation for Resilient Smalltalk.

In addition to PySOM, other implementations exist for Java (SOM, TruffleSOM), C (CSOM), C++ (SOM++), Python (PySOM), and Squeak/Pharo Smalltalk (AweSOM).

A simple Hello World looks like:

Hello = (
  run = (
    'Hello World!' println.
  )
)

This repository contains a Python-base implementation of SOM, including SOM's standard library, and a number of benchmarks. The main project page has links to other SOM VM implementations.

PySOM implementation use either an abstract-syntax-tree or a bytecode-based interpreter. One can choose between them with the SOM_INTERP environment variable.

• AST-based interpreter: SOM_INTERP=AST
• bytecode-based interpreter: SOM_INTERP=BC

To check out the code, run:

git clone --recurse-submodules https://github.com/SOM-st/PySOM.git

Note the --recurse-submodules option. It makes sure that the core library, i.e., the Smalltalk code is downloaded.

PySOM's tests can be executed with:

SOM_INTERP=AST ./som.sh -cp Smalltalk TestSuite/TestHarness.som

A simple Hello World program can be started with:

SOM_INTERP=AST ./som.sh -cp Smalltalk Examples/Hello.som

To compile PySOM, a recent PyPy is recommended and the RPython source code is required. The source distribution of PyPy 7.3 can be used like this:

wget https://downloads.python.org/pypy/pypy2.7-v7.3.1-src.tar.bz2
tar xvf pypy2.7-v7.3.1-src.tar.bz2
export PYPY_DIR=`pwd`/pypy2.7-v7.3.1-src/

Information on previous authors are included in the AUTHORS file. This code is distributed under the MIT License. Please see the LICENSE file for details.

History

In 2013, the implementations of PySOM, RPySOM, and RTruffleSOM where split over multiple repositories. Since end of 2020, they are reunited here and PySOM can be used with Python 2.7, Python 3.8, as well as compiled with RPython. Thus, https://github.com/SOM-st/PySOM is again the only and the canonical repository.

Build Status

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