English

Parallel Programming with Matrix Distributed Processing

High Energy Physics - Lattice 2007-05-23 v1 Computational Engineering, Finance, and Science Computational Physics

Abstract

Matrix Distributed Processing (MDP) is a C++ library for fast development of efficient parallel algorithms. It constitues the core of FermiQCD. MDP enables programmers to focus on algorithms, while parallelization is dealt with automatically and transparently. Here we present a brief overview of MDP and examples of applications in Computer Science (Cellular Automata), Engineering (PDE Solver) and Physics (Ising Model).

Keywords

Cite

@article{arxiv.hep-lat/0505005,
  title  = {Parallel Programming with Matrix Distributed Processing},
  author = {Massimo Di Pierro},
  journal= {arXiv preprint arXiv:hep-lat/0505005},
  year   = {2007}
}

Comments

submitted to HiPC 2005 - download from www.fermiqcd.net