ALCF Acknowledgement Policy

As a U.S. Department of Energy user facility dedicated to the advancement of scientific discoveries, the Argonne Leadership Computing Facility (ALCF) provides unique computing resources and expertise to a user community that is bound by certain policies designed to acknowledge and promote the work of others as well as the resources used to accomplish this work.

The ALCF requests your continued compliance with the terms of your program or discretionary award, specifically with regard to acknowledgments in publications and presentations based on work done with ALCF resources. Also, please forward your accepted publication citations to pubs@alcf.anl.gov.

AI Testbeds Publication Guidance

To publish technical reports and research papers using the ALCF AI testbeds, we request you to provide us with a draft of your paper prior to submission by emailing a copy to us at support@alcf.anl.gov. We will work closely with the AI testbed vendors to provide feedback in a timely manner. We strongly recommend you engage us and the vendors early and often in this process to help us facilitate your research objectives.

For guidance on acknowledgements, please see the following sample policies:

ALCF Only Acknowledgement

Users, and ALCF staff scientists without direct project funding, should acknowledge the ALCF in all publications and presentations that speak to work performed on ALCF resources.

This research used resources of the Argonne Leadership Computing Facility, a U.S. Department of Energy (DOE) Office of Science user facility at Argonne National Laboratory and is based on research supported by the U.S. DOE Office of Science-Advanced Scientific Computing Research Program, under Contract No. DE-AC02-06CH11357.

INCITE/ALCF Acknowledgement

Users should acknowledge the ALCF in all publications and presentations that speak to INCITE work performed on ALCF resources.

An award for computer time was provided by the U.S. Department of Energy’s (DOE) Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program. This research used resources from the Argonne Leadership Computing Facility, a U.S. DOE Office of Science user facility at Argonne National Laboratory, which is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-06CH11357.

INCITE/ALCF/OLCF Acknowledgement

Users should acknowledge the ALCF and OLCF in all publications and presentations that speak to INCITE work performed on ALCF and OLCF resources.

An award for computer time was provided by the U.S. Department of Energy’s (DOE) Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program. This research used supporting resources at the Argonne and the Oak Ridge Leadership Computing Facilities. The Argonne Leadership Computing Facility at Argonne National Laboratory is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-06CH11357. The Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC05-00OR22725.