VIII QCDNA: 2014

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This workshop is the eighth in a sequence which started in 1995 at the University of Kentucky and continued in 1999 in Wuppertal, in 2003 at University of Edinburgh. The aim is to bring together applied mathematicians and theoretical physicists to stimulate the exchange of ideas between leading experts in the fields of lattice QCD and numerical analysis.

As the scale of computational resources available for lattice quantum field theory calculations steadily increases, the ambitions of practitioners has also kept pace in the desire for more realistic calculations of a widening variety of physical observables.

Many numerical methods discussed at the previous workshops have been integrated into current large scale computations generating ensembles of configurations with such a substantial reduction in overall cost per configuration that computational requirements are fairly balanced between configuration generation and measurement of observables.

The focus of this meeting will be equally divided between numerical methods relevant for the generation of lattice configurations and those relevant for the calculation and analysis of physical observables.

Remote Participation

You can participate remotely in the workshop via the following Google Hangout on Air events: Day 1, Day 1, Part 2, Day 1, Part 3, Day 2, Day 3. You can ask questions via the Q&A feature. If you would like to be able to send video/audio, e.g. to ask questions verbally, please contact George Fleming for an invitation.

Organizers

  • James Brannick (Penn State U.)
  • Richard Brower (Boston U.)
  • Michael Clark (NVIDIA Corporation)
  • George Fleming (Yale U.)
  • Meifeng Lin (BNL)
  • Kostas Orginos (William and Mary)

Topics

  • QCD simulations in the chiral regime.
  • Hybrid Monte Carlo, Molecular Dynamics and Multigrid Evolution.
  • Iterative solutions of large sparse linear systems.
  • Eigenvalue solvers.
  • Unbiased estimation of matrix functions.
  • Generalized eigenvalues and matrix polynomials.
  • Exponential time series analysis (including Bayesian methods).