2005
DOI: 10.1016/j.cpc.2004.10.005
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Numerical methods for the QCD overlap operator: III. Nested iterations

Abstract: The numerical and computational aspects of chiral fermions in lattice quantum chromodynamics are extremely demanding. In the overlap framework, the computation of the fermion propagator leads to a nested iteration where the matrix vector multiplications in each step of an outer iteration have to be accomplished by an inner iteration; the latter approximates the product of the sign function of the hermitian Wilson fermion matrix with a vector.In this paper we investigate aspects of this nested paradigm. We exam… Show more

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Cited by 49 publications
(68 citation statements)
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“…It was observed on small lattices [73] that this relaxation leads to roughly a factor of 2 reduction in the computational cost.…”
Section: Overlap Solvermentioning
confidence: 98%
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“…It was observed on small lattices [73] that this relaxation leads to roughly a factor of 2 reduction in the computational cost.…”
Section: Overlap Solvermentioning
confidence: 98%
“…We employ the relaxed stopping condition outlined in Ref. [73]. This is based on the idea that, as the outer solver proceeds, the correction to the solution vector |x i −x i−1 | becomes smaller and we do not have to evaluate D(m) with too much accuracy.…”
Section: Overlap Solvermentioning
confidence: 99%
See 1 more Smart Citation
“…Thus arises the need of building an inversion algorithm for chiral fermions that avoids critical slowing. One method to reduce the critical slowing down is to use the preconditioned algorithms [7].In [8] the preconditioned is built upon an inaccurate approximation to the sign function, while we use as the preconditioned part the approximation of the overlap operator with the truncated overlap operator with finite N 3 dimension. Thus, in order to develop fast algorithms, we use the truncated overlap variant of domain wall fermions in 2 + 1 dimensions with the extra finite dimension N 3 .…”
Section: Development Of Algorithms In 2 Dimensionsmentioning
confidence: 99%
“…Each such product is computed through another, inner iteration using matrix-vector multiplications with Q. In this context, it is very important to be able to assess the accuracy of the computed approximation to sign(Q)b from the inner method, since one can steer the outer method so as to require less and less accurate computations of sign(Q)b, resulting in substantial savings in computational work, see [1].…”
Section: Introductionmentioning
confidence: 99%