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CNF Lab and Equipment Information
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Intel Computing Cluster
152 Xeon processor (288 computing cores) cluster
Manager: Derek Stewart
Backup: Karlis Musa
Description:The Nanolab cluster provides users of the CNF the opportunity to use a wide range of modeling software tailored for nanoscale systems. The cluster consists of 152 Xeon processors (288 computing cores). In addition, a subset of the nodes are linked with Inifiniband fabric. The cluster runs Red Hat Linux Enterprise. Capabilities:We have a wide range of scientific libraries available for code development including ATLAS, GSL, and FFTW. In addition, we have Intel compilers (Fortran, C/C++) and MKL math libraries available. These Intel products are designed to optimize performance on the Xeon architecture. The cluster is currently capable of running parallel programs based on the MPI message passing protocol using LAM-MPI. Please contact Derek Stewart if you are interested in getting an account on the cluster. Processes Available:Software Applications:The cluster provides a high performance computing environment for modeling nanoscale systems with existing codes. It is also an ideal site to test and develop new codes for nanoscale research. Back to Top |
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Qualified Operating Systems
Feb 12, 2013 CNF IT has Qualified the following operating systems for use at the facility: Windows XP and Windows 7 Mac OS X 10.6 - 10.8 RedHat Enterprise Linux v4 and v6 Fedora Linux 15 and Fedora Linux 17 Apple iOS Android Gingerbread Android Jellybean CNF IT has not qualified and does not currently recommend Windows 8 . ![]()
COMPUTING
CATS Pattern Conversion and Proximity Correction Suite Computer Workstations Coral Coral SeaBird Design Workshop File Transfer Share for Tools GenISys Layout BEAMER - E-beam Pattern Conversion and Proximity Correction Intel Computing Cluster JGDS2 - Java GDS Library L-Edit CAD Software LinkCAD pattern preparation software Litho Resources Login IDs Mobile CNFUsers Site PROLITH by KLA-Tencor WhoIAm WIKI Back to Equipment List |
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This material is based upon work supported by the National Science Foundation under Grant No. ECS-0335765. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Cornell NanoScale Science & Technology Facility (CNF) 250 Duffield Hall, Cornell University, Ithaca, New York 14853-2700 Voice: 607-255-2329, Fax: 607-255-8601, Email: information@cnf.cornell.edu Powered by ITX |
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