Skip to content

Aynchronous Value Iteration model implemented through Open-MPI to distribute workload through a cluster.

Notifications You must be signed in to change notification settings

duclos-cavalcanti/Open-MPI-ValueIteration

Repository files navigation

Gruppe 5: Value Iteration with MPI

Introduction

This was a group project at the Technical University of Munich within the High Performance Computing Lecture as a part of a masters degree in ECE.

The goal was implement an asynchronous value iteration model configured as a dynamic programming problem. This was done using Open-MPI to distribute the workload across different machines.

Many thanks to the lecturers that oversaw the work and provided such an amazing opportunity:

Lecturer Email
Gottwald, Martin (PhD) martin.gottwald@tum.de
Hein, Alice (PhD) alice.hein@tum.de

Dependencies

Toolchain

  1. CMake
  2. OpenMPI

Debian-based Systems

TODO

Arch-based Systems

sudo pacman -S cmake openmpi

Development

Python Libraries

pip install numpy scipy termcolor tabulate pytest pytest-check pandas matplotlib seaborn

Getting Started

Targets

  1. make project: This is the only target you actually need to run if on the HPC server. It will clean the project, convert pickle files, compile the code and start the execution of the project using the debug and small datasets with 2,4 and 6 processes.

  2. make run: Simple target to run on the HPC server to debug/run the implementation quickly with only 2 and 4 processes. Only runs the debug dataset by default.

  3. make local: Simple target to run on locally to debug/run the implementation quickly with only 2 processes. Only runs the debug dataset by default.

  4. make bench: Runs the benchmarking script on the data found in results.

  5. make test: Runs a verification/correctness test on all the data found in results.

  6. make format: Formates code according to google's style guide.

  7. make docs: Generates doxygen documentation.

SSH

MPI needs to be able to ssh into the machines specified by the hostfile.

  1. Run ssh-keygen if it hasn't been done already.
  2. Run ssh-copy-id <user>@hpc02.clients.eikon.tum.de to copy generated key to a hpc machine.
  3. (Optional)
    1. Take example-config from blob/example-config and place it into your ~/.ssh folder.
    2. Then replace <USER> with your username.
    3. Rename the file to config.

About

Aynchronous Value Iteration model implemented through Open-MPI to distribute workload through a cluster.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages