Cite and Acknowledge Minerva and NIH Awards in Publications 

Why? 

Minerva High Performance Computing (HPC) is supported by CTSA grant UL1TR004419 from the National Center for Advancing Translational Sciences, National Institutes of Health (NIH). It is required to have the CTSA grant appear in a publication of any material, whether copyrighted or not, based on or developed with Minerva.

A stipulation of the NIH S10 award includes an accurate acknowledgement statement in publications that utilize NIH-funded resources. Currently, there are two NIH S10 funded machines in Minerva. Please acknowledge and link the NIH fund number accordingly.

1.  AIMS (AI Mount Sinai) – S10OD038231 : 6X DGX B200 nodes launched in 2026

2. CATS (COVID and Translational Science supercomputer) – S10OD030463 : High-memory CPU nodes launched in 2021

 In addition, please both acknowledge and cite Minerva HPC in publications. Recognition of the HPC resources used for research is important for acquiring funding for the next generation of hardware, support services, and our research and development activities in HPC.  

How to Cite Minerva in your Publication? 

Please cite Minerva platform and the technologies adopted in all your publications using: 

• Kovatch P, Gai L, Cho HM, Fluder E, Jiang D. Optimizing High-Performance Computing Systems for Biomedical Workloads. IEEE Int Symp Parallel Distrib Process Workshops Phd Forum. 2020 May;2020:183-192. doi: 10.1109/ipdpsw50202.2020.00040. Epub 2020 Jul 28. PMID: 33088611; PMCID: PMC7575271 

How to Acknowledge Funding Sources? 

All publications utilizing Minerva resources must include one of the following acknowledgements depending on your funding status: 

• If your NIH-funded projects use NIH-funded CPUs & B200 GPUs from both machines (AIMS & CATS described above) funded by NIH S10 on Minerva, you must include the following in all your publications: “This work was supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this publication was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD030463 and S10OD038231. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.” 

• If your NIH-funded projects only use the AIMS B200 GPUs,  you must include the following in all your publications: “This work was supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this publication was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD038231. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.” 
• If your NIH-funded projects only use the CATS CPU nodes,  you must include the following in all your publications: “This work was supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences. Research reported in this publication was also supported by the Office of Research Infrastructure of the National Institutes of Health under award number S10OD030463. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.”
  

  
  

• If you DO NOT have NIH-funded projects on Minerva, you MUST include the following in all your publications: “This work was supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences.” 

How to Associate NIH Grants to Publications? 

• To associate the CTSA grant UL1TR004419 or the CATS grant S10OD030463 to an existing publication, please follow these instructions from the NIH (see the section “Associating Funding to your Publications”).