The quest for light sea quarks: algorithms for the future

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Title: The quest for light sea quarks: algorithms for the future
Authors: Schroers, W.1, Eicker, N.1, D'Elia, M.2, de Forcrand, Ph.3, Gebert, C.4, Lippert, Th.1, Montvay, I.4, Orth, B.1, Pepe, M.5, Schilling, K.1
Source: Nuclear Physics B Proceedings Supplement. Mar2002, Vol. 106/107 Issue 1-3, p1082. 3p.
Subjects: Algorithms, Fermions, Nuclear physics
Abstract: As part of a systematic algorithm study, we present first results on a performance comparison between a multibosonic algorithm and the hybrid Monte Carlo algorithm as employed by the SESAM collaboration. The standard Wilson fermion action is used on 32 × 163 lattices at β = 5.5. [Copyright &y& Elsevier]
Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 9437692
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  Data: <searchLink fieldCode="JN" term="%22Nuclear+Physics+B++Proceedings+Supplement%22">Nuclear Physics B Proceedings Supplement</searchLink>. Mar2002, Vol. 106/107 Issue 1-3, p1082. 3p.
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  Data: As part of a systematic algorithm study, we present first results on a performance comparison between a multibosonic algorithm and the hybrid Monte Carlo algorithm as employed by the SESAM collaboration. The standard Wilson fermion action is used on 32 × 163 lattices at β = 5.5. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Nuclear Physics B Proceedings Supplement is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/S0920-5632(01)01935-1
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