Parallel Programming with Matrix Distributed Processing
Massimo Di Pierro
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).
Create a lesson
Related papers
Simulating a chiral gauge theory
Laurens Lootens, Hersh Singh
Quantum Computing for Entanglement Asymmetry and the Quantum Mpemba Effect in Field Theory
Keisuke Fujii, Harunobu Fujimura, Masazumi Honda et al.
Finite-volume Analysis of On-shell Subtraction in the Luescher formalism
Wanchen Lei, Yuting Wang, Jin-Yi Pang
A Note On Lattice Definition of Gauge Theories With Chiral Fermions
Edward Witten
Can multi-level Monte-Carlo address the sign problem in a finite-density Bose gas?
Rajatha Ranpatige, Finn M. Stokes
Confining strings in the reconfined phase of trace deformed three dimensional SU(2) Yang-Mills theory
Claudio Bonati, Michele Caselle, Alessio Negro et al.