The NIH HPC group plans, manages and supports high-performance computing systems specifically for use by the intramural NIH community. These systems include Biowulf, a 105,000+ processor Linux cluster; Helix, an interactive system for file transfer and management, and Helixweb, which provides a number of web-based scientific tools. We provide access to a wide range of computational applications for genomics, molecular and structural biology, mathematical and graphical analysis, image analysis, and other scientific fields.

The continued growth and support of NIH's Biowulf cluster is dependent upon its demonstrable value to the NIH Intramural Research Program. If you publish research that involved significant use of Biowulf, please cite the cluster. Suggested citation text:

This work utilized the computational resources of the NIH HPC Biowulf cluster (https://hpc.nih.gov).

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Biowulf Utilization
Tuesday, October 15th, 2024
utilization graph
Last 24 hrs
97,065 jobs submitted
76,118 jobs completed
3,665,586 CPU hrs used
22 NIH Institutes
293 Principal Investigators
636 users

Announcements
Recent Papers that used Biowulf & HPC Resources

thumbnail image from paper SMARCD1 is an essential expression-restricted metastasis modifier
Ross, C; Gong, LY; Jenkins, LM et al.
Commun Biol , DOI://10.1038/s42003-024-07018-3 (2024)


thumbnail image from paper Highly efficient generation of self-renewing trophoblast from human pluripotent stem cells
Slamecka, J; Ryu, S; Tristan, CA et al.
iScience , DOI://10.1016/j.isci.2024.110874 (2024)


Genome-Wide Meta-Analysis of Cerebrospinal Fluid Biomarkers in Alzheimer's Disease and Parkinson's Disease Cohorts
Ta, M; Blauwendraat, C; Antar, T et al.
Mov Disord , DOI://10.1002/mds.29511 (2023)


Unsupervised Multi-parametric MRI Registration Using Neural Optimal Transport
Kim, B; Mathai, TS; Summers, RM; ,
Proc SPIE Int Soc Opt Eng , DOI://10.1117/12.3006289 (2024)


Structural basis of microtubule depolymerization by the kinesin-like activity of HIV-1 Rev
Eren, E; Watts, NR; Randazzo, D et al.
Structure , DOI://10.1016/j.str.2023.07.009 (2023)


Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study
Patel, P; Harmon, S; Iseman, R et al.
Mod Pathol , DOI://10.1016/j.modpat.2023.100241 (2023)


Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports
Mukherjee, P; Hou, B; Lanfredi, RB; Summers, RM; ,
Radiology , DOI://10.1148/radiol.231147 (2023)


Early Detection of Malignant and Premalignant Peripheral Nerve Tumors Using Cell-Free DNA Fragmentomics
Sundby, RT; Szymanski, JJ; Pan, AC et al.
Clin Cancer Res , DOI://10.1158/1078-0432.CCR-24-0797 (2024)