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https://github.com/cornell-brg/pydgin

A (Py)thon (D)SL for (G)enerating (In)struction set simulators.
https://github.com/cornell-brg/pydgin

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A (Py)thon (D)SL for (G)enerating (In)struction set simulators.

Lists

README 

        
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|Pydgin|

===============================================================================



.. image:: https://travis-ci.org/cornell-brg/pydgin.svg

    :target: https://travis-ci.org/cornell-brg/pydgin



Pydgin: a (Py)thon (D)SL for (G)enerating (In)struction set simulators.



-------------------------------------------------------------------------------

Introduction

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Pydgin provides a collection of classes and functions which act as an embedded

architectural description language (embedded-ADL) for concisely describing the

behavior of instruction set simulators (ISS). An ISS described in Pydgin can be

directly executed in a Python interpreter for rapid prototyping and debugging,

or alternatively can be used to automatically generate a performant,

JIT-optimizing C executable more suitable for application development.



Automatic generation of JIT-enabled ISS from Pydgin is enabled by the RPython

Translation Toolchain, an open-source tool used by developers of the PyPy

JIT-optimizing Python interpreter.



An ISS described in Pydgin implements an *interpretive* simulator which can be

directly executed in a Python interpreter for rapid prototyping and debugging.

However, Pydgin ISS can also be automatically translated into a C executable

implementing a *JIT-enabled interpretive* simulator, providing a

high-performance implementation suitable for application development. Generated

Pydgin executables provide significant performance benefits in two ways. First,

the compiled C implementation enables much more efficient execution of

instruction-by-instruction interpretive simulation than the original Python

implementation. Second, the generated executable provides a trace-JIT to

dynamically compile frequently interpreted hot loops into optimized assembly.



.. |Pydgin| image:: docs/pydgin_logo.png



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License

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Pydgin is offered under the terms of the Open Source Initiative BSD

3-Clause License. More information about this license can be found here:



- http://choosealicense.com/licenses/bsd-3-clause

- http://opensource.org/licenses/BSD-3-Clause



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Publications

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If you end up using Pydgin in your research, please let us know!  We'd love to

hear your feedback. Also, you can cite our paper! ::



  @inproceedings{lockhart-pydgin-ispass2015,

    title     = {Pydgin: Generating Fast Instruction Set Simulators from

                 Simple Architecture Descriptions with Meta-Tracing JIT

                 Compilers},

    author    = {Derek Lockhart and Berkin Ilbeyi and Christopher Batten},

    booktitle = {2015 IEEE Int'l Symp. on Performance Analysis of Systems

                 and Software (ISPASS)},

    month     = {Mar},

    year      = {2015},

  }



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Project Subdirectories

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The following directories Pydgin libraries and simulator implementations for

executing ELF binaries compiled with a cross-compiler.



- pydgin:  Library for describing instruction set simulators (ISS).

- arm:     Pydgin ISS for executing ARMv5 binaries.

- parc:    Pydgin ISS for executing PARC binaries.



Please see the README files in each subdirectory for more information.



-------------------------------------------------------------------------------

Installing Dependencies

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Pydgin depends on the libraries provided by the RPython translation toolchain

for jit annotations and interpreter translation. Before running a Pydgin

simulator, please install the PyPy project source code and specify its location

by creating a PYDGIN_PYPY_SRC_DIR environment variable::



  $ hg clone https://bitbucket.org/pypy/pypy $SOME_DIR

  $ export PYDGIN_PYPY_SRC_DIR=$SOME_DIR/pypy



Pydgin simulator generation also works much faster if you have the PyPy

binary installed. You can either compile this yourself from source, or

download a precompiled version from the PyPy homepage.



- http://pypy.org/download.html



Note that if you download a tarball of the PyPy source instead of cloning it

from BitBucket, it must be version 2.5 or newer.



-------------------------------------------------------------------------------

Running Pydgin Instruction Set Simulators

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Now that PyPy dependencies are installed, you can run Pydgin simulators

directly with Python for debug purposes::



  $ cd arm

  $ python arm-sim.py 



Finally, you can translate the Pydgin simulators into JIT-enabled simulator

binaries using the RPython translation toolchain::



  $ cd scripts

  $ ./build.py --help

  $ ./build.py pydgin-arm-jit



The translation process will take several minutes. After it's done, you'll have

a fast simulator to run your binaries::



  $ ./builds/pydgin-arm-jit