Updated core libraries of the ALPS project

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• 作者：A. Gaenko^a ; ^{galexv@umich.edu} ; A.E. Antipov^a ; G. Carcassi^a ; T. Chen^b ; X. Chen^a ; Q. Dong^a ; L. Gamper^c ; J. Gukelberger^d ; R. Igarashi^e ; S. Iskakov^a ; M. Kö ; nz^c ; J.P.F. LeBlanc^a ; ^f ; R. Levy^a ; ^g ; P.N. Ma^h ; J.E. Paki^a ; H. Shinaokaⁱ ; S. Todo^j ; ^k ; M. Troyer^c ; E. Gull^a
• 关键词：Many-body physics ; Strongly correlated systems ; Monte Carlo ; C++ ; High Performance Computing
• 刊名：Computer Physics Communications
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：213
• 期：Complete
• 页码：235-251
• 全文大小：702 K
• 卷排序：213

文摘

The open source ALPS (Algorithms and Libraries for Physics Simulations) project provides a collection of physics libraries and applications, with a focus on simulations of lattice models and strongly correlated systems. The libraries provide a convenient set of well-documented and reusable components for developing condensed matter physics simulation code, and the applications strive to make commonly used and proven computational algorithms available to a non-expert community. In this paper we present an updated and refactored version of the core ALPS libraries geared at the computational physics software development community, rewritten with focus on documentation, ease of installation, and software maintainability.Program summaryProgram Title: ALPS Core librariesProgram Files doi:http://dx.doi.org/10.17632/fckj5d7wtr.1Programming language: C++Licensing provisions: GNU GPLv3Nature of problem: Need for modern, lightweight, tested and documented libraries covering the basic requirements of rapid development of efficient physics simulation codes, especially for modeling strongly correlated electron systems.Solution method: We present a C++ open source computational library that provides a convenient set of components for developing parallel physics simulation code. The library features a short development cycle and up-to-date user documentation.External routines/libraries:CMake, MPI, Boost, HDF5.