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We present Lyncs-API, a Python API for Lattice QCD applications currently under development.
L. Dalcín, R. Paz and M. Storti, Mpi for python , Journal of Parallel and Distributed Computing 65
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V. Vasilev, P. Canal, A. Naumann and P. Russo, Cling – the new interactive interpreter for ROOT 6 , Journal of Physics: Conference Series 396
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A. Collette, Python and HDF5: unlocking scientific data , " O’Reilly Media, Inc." (2013)
2013
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S.K. Lam, A. Pitrou and S. Seibert, Numba: A llvm-based python jit compiler , in Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC , LLVM ’15, (New York, NY, USA), Association for Computing Machinery, 2015, DOI
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W.T. Lavrijsen and A. Dutta, High-performance python-c++ bindings with pypy and cling , in 2016 6th Workshop on Python for High-Performance and Scientific Computing (PyHPC) , pp. 27–35, IEEE, 2016
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Dask Development Team, Dask: Library for dynamic task scheduling , 2016
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K. Clark, Preparing for quda 2.0 , in Lattice2021 , https://indi.to/SgQDB
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P. Boyle and M. Lin, Performance portability strategies for grid c++ expression templates ,
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C. Lehner, Grid python toolkit (gpt) , in Lattice2021 , https://indi.to/XXwcm
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2016
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R. Okuta, Y. Unno, D. Nishino, S. Hido and Crissman, Cupy : A numpy-compatible library for nvidia gpu calculations , 2017
2017
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C.R. Harris, K.J. Millman, S.J. van der Walt, R. Gommers, P. Virtanen, D. Cournapeau et al., Array programming with NumPy , Nature 585
2020
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10.5281/zenodo.5610079
K. Clark, M. Wagner, D. Howarth, E. Weinberg, A. Strelchenko, J. Tu et al., lattice/quda: Quda v1.1.0 , Oct., 2021 · 2021
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