mdb

An MPI-aware frontend for serial debuggers, such as gdb and lldb.

Documentation

For help with installation, a quick-start tutorial (with example debug session) and an API reference please check out mdb's documentation.

Purpose

mdb is a debugger aimed at parallel programs using the MPI programming paradigm. mdb acts as a MPI-aware frontend for different backend debuggers, such as gdb and lldb. As such, it supports the following languages:

• C
• C++
• Fortran

Technically gdb supports other languages as well, but this is the intersection of languages that MPI is implemented in. For lldb your mileage may vary when debugging Fortran.

Usage

Please see the quick start guide in the documentation for a walk-through of a simple debug session. The guide covers basic debug commands and information on how to launch the debugger.

Installation

These instructions are for normal use of mdb. Please see below for a developer install.

1. Clone the repository.

   git clone https://github.com/TomMelt/mdb.git

2. (optional - but recommended) Create a conda environment or venv.

   conda create -n mdb python
   conda activate mdb

3. Install mdb.

   cd mdb/
   pip install .

More information can be found in the installation guide.

Please Note mdb doesn't currently support Windows (see here for more info).

Dependencies

Non-Python Dependencies

• Either gdb or lldb (depending on your preference)

mdb does not package gdb or lldb. You will need these installed on your system in order to run mdb. Please visit the debugger's respective sites for installation instructions e.g., gdb and lldb.

Python Dependencies

The main python dependencies are listed in the pyproject.toml file, e.g.,

• click
• matplotlib
• numpy
• pexpect

These will all be installed as part of the default pip installation. See installing mdb in the documentation for more information.

• termgraph (optional - fancy Unicode plots straight to your terminal)

termgraph is optional but can be installed alongside mbd. See installing mdb in the documentation for more information.

Supported MPI implementations

Currently I am building and testing for open MPI only. In principle it really won't take much work to expand to other implementations but I just haven't done it yet.

• Open MPI mpirun and mpiexec
• Intel MPI mpirun and mpiexec
• Slurm srun (should work but still needs testing)
• others...

TODO

• rewrite launcher to add more functionality (e.g., auto-restart if MPI job fails)
• intercept stdin to run commands on another process (or processes) inside of an interactive session
• track MPI communication dependencies (holistic metric)
• print aggregated backtrace (holistic metric)
• record asciinema demo? / youtube video?

Contributing

If you would like to be involved in the development, feel free to submit a PR. A word of caution though... the code is currently in a highly volatile state and a plan major changes to the interface and layout. I will update this section when I reach a more stable part of the development. Either way changes are welcome at anytime.

Please see CONTRIBUTING.md for more details on how best to contribute.

Developers

For development it is best to install mdb with some additional dependencies. These can be installed following the installing mdb for developers guide.

Acknowledgements

This project was inspired by @mystery-e204's mpidb tool and @Azrael3000's tmpi tmux interface.

Similar Projects

I have recently come across @robertu94's mpigdb. It seems to offer similar functionality and it has a closer integration with gdb using gdb's inbuilt inferiors to handle multiple processes at the same time (see gdb manual sec. 4.9 for more info). The main difference from my perspective is that I can plot variables across MPI processes using mdb and AFAIK mpigdb cannot. If you like mdb you may want to check out mpigdb as well.