acknowledgement

Acknowledgement in Publications

All publications, copyrighted or not, resulting from an allocation of computing time at PSC should include an acknowledgement. Please acknowledge both the funding source that supported your access to PSC and the specific PSC resources that you used.

Please also acknowledge support provided by XSEDE’s ECSS program and/or PSC staff when appropriate.

Proper acknowledgment is critical for our ability to solicit continued funding to support these projects and next generation hardware.

For suggested text and citations, see:

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National Institutes of Health supported research

We ask that you use the following text:

This research was supported in part by the National Institutes of Health through resources provided by the National Resource for Biomedical Supercomputing (P41 RR06009), which is part of the Pittsburgh Supercomputing Center. 

followed by an acknowledgement of any PSC resources that you used. For example:

Specifically, it used the Blacklight system, which is supported by NSF award number ACI-1041726, at the Pittsburgh Supercomputing Center (PSC).

Additional Support

Please also acknowledge support provided by PSC staff.

 

Research on Anton

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Additional Support

Please also acknowledge support provided by PSC staff.

 

Research on the Data Exacell

We ask that you use the following text:

This work used the Data Exacell, which is supported by National Science Foundation award number ACI-1261721, at the Pittsburgh Supercomputing Center (PSC).

Please include the following citation:

The Data Exacell. (n.d.) Retrieved [date] from http://psc.edu/dxc.

Additional Support

Please also acknowledge support provided by PSC staff.

 

XSEDE supported research on Greenfield

We ask that you use the following text:

This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number OCI-1053575. Specifically, it used the Greenfield system, which is supported by NSF award number ACI-1261721, at the Pittsburgh Supercomputing Center (PSC).

Additional Support

Please also acknowledge support provided through XSEDE’s Extended Collaborative Support Services (ECSS) and/or by PSC staff.

XSEDE supported research on Blacklight

We ask that you use the following text:

This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation award number ACI-1053575. Specifically, it used the Blacklight system, which is supported by NSF award number ACI-1041726, at the Pittsburgh Supercomputing Center (PSC).

Please include the following citations:

Towns, J., Cockerill, T., Dahan, M., Foster, I., Gaither, K., Grimshaw, A., Hazlewood, V., Lathrop, S., Lifka, D., Peterson, G.D., Roskies, R., Scott, J.R. and Wilkens-Diehr, N. 2014. XSEDE: Accelerating Scientific Discovery. Computing in Science & Engineering. 16(5):62-74. http://doi.ieeecomputersociety.org/10.1109/MCSE.2014.80.

Nystrom, N., Welling, J., Blood, P. and Goh, E.L. Blacklight: Coherent Shared Memory for Enabling Science. In Contemporary High Performance Computing: From Petascale Toward Exascale; Vetter J., Ed.; CRC Computational Science Series, Taylor & Francis:Boca Raton, 2013; pp 431−450.

Additional Support

Please also acknowledge support provided through XSEDE’s Extended Collaborative Support Services (ECSS) and/or by PSC staff.

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