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000868381 037__ $$aFZJ-2019-06910
000868381 041__ $$aEnglish
000868381 1001_ $$0P:(DE-Juel1)144723$$aDi Napoli, Edoardo$$b0$$eCorresponding author$$ufzj
000868381 1112_ $$aSIAM Computational Science and Engineering$$cSpokane$$d2019-02-24 - 2019-03-01$$gCSE 19$$wUSA
000868381 245__ $$aThe ChASE library for Large Hermitian Eigenvalue Problems
000868381 260__ $$c2019
000868381 3367_ $$033$$2EndNote$$aConference Paper
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000868381 520__ $$aChASE is a new library based on an optimized version of subspace iteration with polynomial acceleration. ChASE is written in C++ using the most current concepts in software engineering which favor a simple integration in application codes and effortless portability over heterogeneous platforms. When solving sequences of Hermitian eigenproblems for a portion of their exterior spectrum, ChASE experiences a considerable speedup and outperforms direct solvers in many scenarios. ChASE performance depends on a number of internal parameters whose choice has been optimized by the automatic estimation of the necessary spectral properties of the eigenproblem. Such feature greatly simplifies its use by the average user. The library is highly scalable, ships with two distinct parallelization schemes and is easily extensible to other computing architectures.
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000868381 536__ $$0G:(DE-Juel1)SDLQM$$aSimulation and Data Laboratory Quantum Materials (SDLQM) (SDLQM)$$cSDLQM$$fSimulation and Data Laboratory Quantum Materials (SDLQM)$$x2
000868381 7001_ $$0P:(DE-Juel1)167415$$aWinkelmann, Jan$$b1$$ufzj
000868381 7001_ $$0P:(DE-HGF)0$$aSchleife, Andre`$$b2
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000868381 9141_ $$y2019
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