Highly Efficient FFT for Exascale
Innovative Computing Laboratory
University of Tennessee
[TOC]
The Highly Efficient FFT for Exascale (HeFFTe) library is being developed as part of the Exascale Computing Project (ECP), which is a joint project of the U.S. Department of Energy's Office of Science and National Nuclear Security Administration (NNSA). HeFFTe delivers algorithms for distributed fast-Fourier transforms in on a heterogeneous systems, targeting the upcoming exascale machines.
- Installation and a Doxygen documentation can be done with the CMake options
-D Heffte_ENABLE_DOXYGEN=ON - Online Documentation
- HeFFTe installation
- HeFFTe Website and Papers
For assistance with HeFFTe, email heffte@icl.utk.edu or start a Bitbucket Issue
The HeFFTe project welcomes contributions from new developers. Contributions can be offered through the standard Bitbucket pull request model. We ask that you complete and submit a contributor agreement.
- Visit the Doxygen Documentation website
- Visit the HeFFTe website for more information about the HeFFTe project.
- Visit the ECP website to find out more about the DOE Exascale Computing Initiative.
This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering and early testbed platforms, in support of the nation's exascale computing imperative.
This research uses resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.
Copyright (c) 2020, University of Tennessee
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the University of Tennessee nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL UNIVERSITY OF TENNESSEE BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.