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Automatic Assembly Generator for RISC-V

Project description

Advanced Assembly Program Generator

Automated Assembly Program Generator (aapg) is a tool that is intended to generate random RISC-V programs to test RISC-V cores.

Quick Install

There are two ways to get started with aapg. The easiest one is via pip.

.. code-block:: python

pip install aapg

Next, create a working directory for your project,

.. code-block:: bash mkdir ~/aapg-samples cd ~/aapg-samples

Now we setup the build environment by typing,

.. code-block:: bash

aapg setup

This creates the folders for the outputs of each step that is compiling the assembly to machine code, dumping a disassemly and then running the simulator on spike (riscv-isa-sim). It also creates a sample config.ini to configure each aapg run.

Once the previous steps have been completed, we can run aapg using the following command.

.. code-block:: bash

aapg gen 

By default, aapg generates 64 bit programs. To generate 32 bit programs, you have to run,

.. code-block:: bash

aapg gen --arch rv32

You should find your random program generated in build/out.asm in your current directory. By default, aapg expects the configuration file to be config.ini and the output file to be build/out.asm in the directory that aapg was run in. To build the programs and run them on Spike,

.. code-block:: bash

make

Alternatively for compiling using the 32-bit toolchain, you can type,

.. code-block:: bash

make XLEN=32

You can check the logfiles in the log directory and the disassembled code in objdump directory.

A sample config.ini with all options can be found in the samples directory.

Developer Install

The other way to install it is by using Git. This allows you to stay updated with the latest developments and is required when you want to develop aapg further and push changes. You can follow these steps,

.. code-block:: bash

git clone https://gitlab.com/shaktiproject/tools/aapg
cd aapg
python3 setup.py install

This will install aapg on your path.

Wiki

Head to Wiki <https://gitlab.com/shaktiproject/tools/aapg/wikis/Wiki>_ for detailed information.

License

Copyright (c) 2013-2018, IIT Madras All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the name of IIT Madras nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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