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
Sunday, October 13th, 2024
utilization graph
Last 24 hrs
51,221 jobs submitted
22,107 jobs completed
3,368,735 CPU hrs used
23 NIH Institutes
185 Principal Investigators
338 users

Announcements
(All)
Recent Papers that used Biowulf & HPC Resources
(All 6216 papers)

Automated Classification of Multi-parametric Body MRI Series
Kim B, Mathai TS, Helm K, Summers RM
IEEE International Symposium on Biomedical Imaging , https://doi.org/10.1109/ISBI56570.2024.10635686 (2024)


σ28-dependent small RNA regulation of flagella biosynthesis
Melamed, S; Zhang, A; Jarnik, M et al.
Elife , DOI://10.7554/eLife.87151 (2023)


PARP-1 selectively impairs KRAS-driven phenotypic and molecular features in intrahepatic cholangiocarcinoma
Keggenhoff, FL; Castven, D; Becker, D et al.
Gut , DOI://10.1136/gutjnl-2023-331237 (2024)


Structure of Amyloid Peptide Ribbons Characterized by Electron Microscopy, Atomic Force Microscopy, and Solid-State Nuclear Magnetic Resonance
Thurber, KR; Yau, WM; Tycko, R; ,
J Phys Chem B , DOI://10.1021/acs.jpcb.3c07867 (2024)


Disease flares with baricitinib dose reductions and development of flare criteria in patients with CANDLE/PRAAS
Cetin Gedik, K; Ortega-Villa, AM; Materne, G et al.
Ann Rheum Dis , DOI://10.1136/ard-2023-225463 (2024)


Elementary intracellular Ca signals approximated as a transition of release channel system from a metastable state
Veron, G; Maltsev, VA; Stern, MD; Maltsev, AV; ,
J Appl Phys , DOI://10.1063/5.0151255 (2023)


A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics
Hoang, DT; Dinstag, G; Shulman, ED et al.
Nat Cancer , DOI://10.1038/s43018-024-00793-2 (2024)


A Multiomic Analysis to Identify Drivers of Subclinical Vascular Disease in Systemic Lupus Erythematosus
Oliveira, C; Temesgen-Oyelakin, Y; Naqi, M et al.
Arthritis Rheumatol , DOI://10.1002/art.42925 (2024)