Funding Acknowledgements

HPX is has been funded by:

  • The National Science Foundation through awards 1117470 (APX), 1160602 (PXGL), 1240655 (STAR), 1447831 (PXFS), 1339782 (STORM), and 1737785 (Phylanx).

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

  • The Department of Energy (DoE) through the awards DE-SC0008714 (XPRESS), DE-AC52-06NA25396 (FLeCSI), and DE-NA0003525 (Resilience).

This work is partially supported by the Scientific Discovery through Advanced Computing (SciDAC) program funded by U.S. DOE, Office of Science, Advanced Computing Scientific Computing Research (ASCR) and Basic Energy Sciences (BES), Division of Materials Science and Engineering.

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Neither the United States Government nor any agency thereof, nor any of their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

  • The Defense Technical Information Center (DTIC) under contract FA8075-14-D-0002/0007

Neither the United States Government nor any agency thereof, nor any of their employees makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

  • The Bavarian Research Foundation (Bayerische Forschungsstiftung) through the grant AZ-987-11.
  • The European Commission’s Horizon 2020 programme through the grant H2020-EU.1.2.2. 671603 (AllScale).

We would like to acknowledge the NSF, DoE, DTIC, DARPA, the Center for Computation and Technology (CCT) at Louisiana State University, the Swiss National Supercomputing Centre (CSCS), and the Department of Computer Science 3 – Computer Architecture at the University of Erlangen Nuremberg who fund and support our work.

We would also like to thank the following organizations for granting us allocations of their compute resources: LSU HPC, LONI, XSEDE, NERSC, ORNL, CSCS/ETHZ, and the Gauss Center for Supercomputing.

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