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Accelerating dynamical-fermion computations using the rational hybrid Monte Carlo algorithm with multiple

M A Clark1, A D Kennedy

  • 1Center for Computational Sciences, Boston University, 3 Cummington Street, Boston, Massachusetts 02215, USA. mikec@bu.edu

Physical Review Letters
|March 16, 2007
PubMed
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Researchers developed a novel method to reduce computational costs in lattice quantum chromodynamics (QCD) simulations. This approach utilizes pseudofermion fields with nth root kernels, proving competitive with existing techniques.

Area of Science:

  • Computational physics
  • Quantum chromodynamics

Background:

  • Lattice quantum chromodynamics (QCD) simulations are computationally intensive.
  • Reducing computational cost is crucial for advancing lattice QCD research, especially with decreasing quark masses.

Purpose of the Study:

  • To present a new, computationally efficient method for lattice QCD simulations.
  • To address the challenge of high computational cost associated with the fermionic determinant in hybrid Monte Carlo algorithms.

Main Methods:

  • Representing the fermionic determinant using 'n' pseudofermion fields.
  • Each pseudofermion field employs an 'nth' root kernel.
  • Implementing the method within the rational hybrid Monte Carlo algorithm framework.

Main Results:

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  • The proposed method demonstrates competitive performance compared to other recent techniques.
  • Successfully reduces the computational burden of lattice QCD calculations.

Conclusions:

  • The new approach offers a viable and efficient solution for lattice QCD simulations.
  • This advancement contributes to making complex quantum chromodynamics calculations more accessible.