LICENSE

Copyright (C) 2018-2021 The Simons Foundation, Inc. - All Rights Reserved.

Lead developer: Yu-Hsuan Melody Shih (New York University).

Other developers: (see github site for full list)

Garrett Wright (Princeton)
Joakim Anden (KTH)
Johannes Blaschke (LBNL)
Alex Barnett (CCM, Flatiron Institute)

This project came out of Melody's 2018 and 2019 summer internships at
the Flatiron Institute, advised by Alex Barnett.

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cuFINUFFT is licensed under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance with the
License.  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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Certain parts of this repository are contributed by others.
For their license info, see:

contrib/legendre_rule_fast.license
fortran/cmcl_license.txt

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If you find this library useful, or it helps you in creating software
or publications, please let us know, and acknowledge that fact by citing our
repository:

  https://github.com/flatironinstitute/cufinufft

and the publication:

cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs, Yu-hsuan Shih, Garrett Wright, Joakim Andén, Johannes Blaschke, Alex H. Barnett. PDSEC2021 conference (best paper prize). https://arxiv.org/abs/2102.08463