High-Performance Computing at the NIH
GitHub YouTube @nih_hpc RSS Feed
The NIH HPC group plans, manages and supports high-performance computing systems specifically for the intramural NIH community. These systems include Biowulf, an 20,000+ processor Linux cluster; Helix, an interactive system for short jobs, Sciware, a set of applications for desktops, 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.



Quick Links

Cluster Utilization
Friday, September 21st, 2018
utilization graph
Last 24 hrs
81,192 jobs submitted
49,833 jobs completed
3,116,988 CPU hrs used
23 NIH Institutes
203 Principal Investigators
359 users

Announcements
Recent Papers that used Biowulf & HPC Resources

Random forest based classification of alcohol dependence patients and healthy controls using resting state MRI
Zhu, X; Du, X; Kerich, M; Lohoff, FW; Momenan, R;
Neurosci. Lett. , DOI://10.1016/j.neulet.2018.04.007 (2018)

A Genome-Wide Screen Reveals a Role for the HIR Histone Chaperone Complex in Preventing Mislocalization of Budding Yeast CENP-A
Ciftci-Yilmaz, S; Au, WC; Mishra, PK et al.
Genetics , DOI://10.1534/genetics.118.301305 (2018)

Dynamics of Genome Alterations in Crohn's Disease-Associated Colorectal Carcinogenesis
Hirsch, D; Wangsa, D; Zhu, YJ et al.
Clin. Cancer Res. , DOI://10.1158/1078-0432.CCR-18-0630 (2018)

thumbnail image from paper EWS-FLI1 reprograms the metabolism of Ewing sarcoma cells via positive regulation of glutamine import and serine-glycine biosynthesis
Sen, N; Cross, AM; Lorenzi, PL et al.
Mol. Carcinog. , DOI://10.1002/mc.22849 (2018)

Time-varying whole-brain functional network connectivity coupled to task engagement
Hua X, Gonzalez-Castillo J, Handwerker D, Bandettini P
Network Neuro Science , doi://10.1162/netn_a_00051 (2018)

thumbnail image from paper Prediction of CB[8] host-guest binding free energies in SAMPL6 using the double-decoupling method
Han K, Hudson PS, Jones MR et al
J. Comp-Aided Mol. Des. , doi:///10.1007/s10822-018-0144-8 (2018)

thumbnail image from paper Lipid and Peptide Diffusion in Bilayers: The Saffman-Delbrück Model and Periodic Boundary Conditions
Venable R; Ingolfsson H; Lerner MG et al
J. Phys. Chem. B , DOI: 10.1021/acs.jpcb.6b09111 (2017)