HMLQCD

From HP-SEE Wiki

Revision as of 16:44, 11 July 2011

General Information

• Application's name: Hadron Masses from Lattice QCD
• Virtual Research Community: Computational Physics
• Scientific contact: Artan Boriçi
• Technical contact: Artan Boriçi
• Developers: A.Boriçi, D.Xhako, R.Zeqirllari
• Web site: -

Short Description

Lattice Quantum Chromodynamics (QCD) is the theory of strong interactions defined on four dimensional space-time hypercubic lattice. Its correlation functions are given by expectation values over path integrals. At present, the only direct tool to compute such integrals is the Markov Chain Monte Carlo method, which gives large autocorrelation times for certain observables. At any Markov step several huge ans sparse linear systems have to be solved. Hence, the whole procedure results in a very expensive computational problem especially as the continuum limit is approached. The mass spectrum analysis involves computation of quark propagators, which are the solutions of huge linear systems of Dirac operators defined on the lattice. A typical Krylov solver needs several hundreds or even thousands of multiplications by the lattice Dirac operator to converge.

Our project aims to test for the first time local chiral actions for the calculation of the hadron masses. On the algorithmic side the project will test new solvers for overlap and domain wall fermions.

Problems Solved

Lattice QCD has become an indispensable tool both for particle and nuclear physics.

Scientific and Social Impact

Usage of local chiral fermions saves two orders of magnitude of computing resources. It gives physical results with unprecedented accuracy close to the chiral limit. Increased social support for scientific communities.

Collaborations and Beneficiaries

- TIRLatt (Tirana lattice QCD group) - International lattice QCD groups will benefit from expanded libraries of QCDLAB and fermiQCD

Technical Features and HP-SEE Implementation

• Primary programming language: C/C++/Matlab/Octave (Matlab compiler)
• Parallel programming paradigm: MPI/MPITB(Octave)/Parallel Computing Toolbox (Matlab)
• Main parallel code: C/C++/Matlab
• Pre/post processing code: -
• Application tools and libraries:
• Number of cores required: Limited to available number of CPUs
• Minimum RAM/core required: $GB
• Storage space during a single run: 1TB
• Long-term data storage: 2TB

Usage Example

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Publications

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