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  • About Research Computing Services | Columbia University Information Technology
    RCS in April 2014 he collaborated closely with RCS to assist in the pilot planning and launch of the Hotfoot and Yeti HPC clusters In his current role he is working on provisioning and expanding the HPC clusters and assisting in the introduction of new research computing initiatives George has 15 years of experience in Linux system administration and has a keen interest in graphics programming artificial intelligence and decentralized technologies He has a Bachelor of Arts degree in Music from Columbia University Rob Lane Rob Lane Manager has been at Columbia since 2005 He joined RCS in September 2008 and his main focus has been the team s HPC initiatives Prior to this he was a member of Columbia s National Science Digital Library NSDL team where he worked on metadata systems OAI Dublin core authentication authorization Shibboleth and educational gaming Rob has twenty years experience in software development and systems design He has a BSc in Mathematics from the University of Western Ontario Canada Dali Plavsic Dali Plavsic Research Systems Engineer joined RCS in 2015 In his new role Dali will be providing end user support to the research computing community He will also play a key role in the support and maintenance of RCS s services as well as assisting in their future planning and implementation Dali has been working at CUIT since 2006 and has a B A from Columbia University in Economics and Film studies He is currently pursuing his Masters in Technology Management here at Columbia John Villa John has experience in systems administration performance monitoring and technical engineering Most recently he worked as a UNIX Systems Administrator for WebAir Inc where he performed operating system maintenance and system configuration changes Previously John served in the United States Army as an Infantry Fire Team

    Original URL path: http://cuit.columbia.edu/about-research-computing-services (2016-05-01)
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  • Shared Research Computing Facility | Columbia University Information Technology
    Facility SRCF which consists of a dedicated portion of the university data center Our HPC cluster utilizes energy use measurement and monitoring with a focus on maximizing computing capacity per watt thereby increasing energy efficiency These efforts help Columbia meet our local and national commitments to reduce the university s carbon footprint Accessing Our High Performance Computing Environment CUIT allows University researchers and departments to purchase shares in our HPC cluster providing access to our infrastructure with each share providing additional processing capabilities and higher priority for scheduling jobs CUIT is currently building the next generation HPC cluster called Habanero to be implemented in 2016 If you are interested in more information reach out to us at rcs columbia edu Renting Space on Our Current HPC Cluster Yeti In the meantime our current HPC Cluster Yeti continues to provide a powerful resource for researchers Faculty research staff and sponsored students may pay a set fee to rent a share of the Yeti HPC cluster Review our High Performance Computing Renter Service for more information including rental terms and a rental request form Getting Access to the Extreme Science and Engineering Discovery Environment XSEDE We are happy to provide assistance to Columbia faculty members and postdoctoral researchers who are eligible principal investigators PIs in obtaining access to an allocation on XSEDE as well as support in getting started on that cluster Email us at rcs columbia edu for more information myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center

    Original URL path: http://cuit.columbia.edu/shared-research-computing-facility (2016-05-01)
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  • High Performance Computing Renter Service | Columbia University Information Technology
    fee of 1 000 provides one share for a single user for a period of one year One share is equivalent to one processor core or 1 16 of a server each Yeti server has 16 cores Rental shares allow the user to access additional HPC resources based on system policies and availability and access to 64 GB of scratch storage A single user may purchase multiple rentals to increase both their share and storage HPC renters are entitled to user support in addition to our HPC documentation Additional information including details on low priority free access to Yeti are available in CUIT s Service Catalog Become an HPC Renter To become an HPC Renter complete our HPC Rental Request Form including the chart string you will use for payment Once your request is submitted a member of the Research Computing Services team will reach out to you with additional information and to help you get started myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training

    Original URL path: http://cuit.columbia.edu/high-performance-computing-renter-service (2016-05-01)
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  • High Performance Computing Documentation & Support | Columbia University Information Technology
    currently manages two High Performance Computing clusters for University researchers faculty and students Yeti and Hotfoot Below we ve provided documentation on both clusters including technical specifications as well as instructions for getting started and submitting jobs Yeti documentation and support Hotfoot documentation and support Research Support Groups The following organizations are available to support research initiatives at Columbia Office of Research Initiatives Center for Digital Research and Scholarship Getting Help For HPC help requests bug reports and other user support issues please contact us at hpc support columbia edu See also CUIT s HPC Cluster service myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center Information Technology CUMC IT Center for Digital Research and Scholarship CDRS Business School Information Services ITG Law School Information Technology SIPA Computer Facilities Social Work Computing and Instructional Technology Columbia College Information Technology CCIT Columbia Center for New Media Teaching and Learning

    Original URL path: http://cuit.columbia.edu/high-performance-computing-documentation-support (2016-05-01)
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  • Third Party Research Computing Resources | Columbia University Information Technology
    and storage platforms as a resource for our research community At this time RCS does not recommend one resource over another or provide support for these external services Third Party Research Computing Resources Amazon Web Services including Elastic Compute Cloud EC2 and storage services Columbia University Center for Computational Biology and Bioinformatics C2B2 colocation and hosting services Cornell University Center for Advnaced Computing and Red Cloud services New York State HPC Program Resources at RPI Brookhaven New York State HPC Consortium Web based resources at RPI Brookhaven Stony Brook and University of Buffalo POD IU HPC on demand hosted at Indiana University San Diego Supercomputing Center SDSC Cloud Storage Services USC Digital Repository Windows Azure myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center Information Technology CUMC IT Center for Digital Research and Scholarship CDRS Business School Information Services ITG Law School Information Technology SIPA Computer Facilities Social

    Original URL path: http://cuit.columbia.edu/third-party-research-computing-resources (2016-05-01)
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  • Teaching & Learning Applications: Data Feed Services | Columbia University Information Technology
    provides Data Feed Services to application developers across Columbia University assisting them in providing consistent and accurate data regarding University courses textbooks events and other resources while protecting and safeguarding the privacy and confidentiality of users and sensitive data These feeds are provided in programming friendly formats and are available to any member of the Columbia community with a UNI The following Data Feeds are available Data feed information includes the feed s refresh schedule data diagrams table and data element documentation data training and data security Course Information Textbooks Athletic Schedule Academic Commons Sundial Events Calendar CLIO Library Catalog Data myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center Information Technology CUMC IT Center for Digital Research and Scholarship CDRS Business School Information Services ITG Law School Information Technology SIPA Computer Facilities Social Work Computing and Instructional Technology Columbia College Information Technology CCIT Columbia Center for New

    Original URL path: http://cuit.columbia.edu/teaching-learning-applications-data-feed-services (2016-05-01)
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  • ColumbiaNet Kiosk Stations | Columbia University Information Technology
    203 Reading Room 2 208 Reading Room 4 214 Coffee Lounge 4 300 Level Circulation Desk 4 301 Reading Room 10 303 Reading Room 1 310 Reading Room 2 401 Reading Room 2 403 Reading Room 3 406 Reading Room 2 502 Reading Room 1 503 Reading Room 1 504 Reading Room 1 602 Reading Room 1 607 Reading Room 1 654 Library 1 Dodge Gym Entrance Lobby 1 Dodge Hall 6th Floor 1 Earl Hall Lobby 2 Int l Public Affairs 300 Level Lehman Library 6 IAB 302 1 400 Level 5 I S S O 100 Level 1 Kent Hall 2nd Floor Lobby 12 Kraft Center 300 Level Lounge 1 Lewisohn 300 Level Public Lounge 2 Philosophy 202 3 Pupin Hall 500 Level Hall 2 Schermerhorn Hall 601 Library 1 500 Level 2 Social Work 000 Level 2 400 Level Hall 2 500 Level Hall 4 Studebaker 400 Level 2 Watson Hall 1st Floor Lobby 1 Morningside Campus Residence Halls Residence Hall Location Units 600 W 113th St Entrance Lobby 1 Broadway Entrance Lobby 2 Carman 1st Floor 2 East Campus 1st Floor Lobby 1 East Campus 2nd Floor Lounge 2 Furnald 1st Floor Lobby 2 Hartley 1st Floor entrance 2 Harmony Hall 1st Floor entrance 1 John Jay Entrance Lobby 1 Schapiro Hall Entrance Lobby 1 Wallach Hall Room 125 1 myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center Information Technology CUMC IT Center for Digital Research and Scholarship CDRS Business School Information Services

    Original URL path: http://cuit.columbia.edu/columbianet-kiosk-stations (2016-05-01)
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  • ColumbiaNet Kiosk Software | Columbia University Information Technology
    Documents and sensitive data should not be saved locally on these machines as these machines are publicaly accessible and the data will be purged ColumbiaNets can be easily customized for specific locations e g your department would like to use a different homepage or button Email cnet dev columbia edu for more information The ColumbiaNet kiosks maintained by CUIT have the following software installed Acrobat Reader View and print PDF files Firefox Web browser Microsoft Office Create view edit and print documents spreadsheets and presentations Plugins Flash QuickTime Windows Media Player Real Player Zotero myUNI Service Desk myColumbia FAQ A Z Services About Us Give Us Feedback Computing Support About CUIT CUIT Careers CUIT Email Services Research Computing Services Teaching Learning Applications CUIT Public Computing Facilities ColumbiaNet Kiosk Stations Computer Clusters and Labs Disability Services Electronic Classrooms PawPrint Printing System IT Policies IT Security Resources Manage my UNI Security Awareness Training Software and Downloads Search CUIT Go Text Size a a Other Columbia IT Groups Columbia University Medical Center Information Technology CUMC IT Center for Digital Research and Scholarship CDRS Business School Information Services ITG Law School Information Technology SIPA Computer Facilities Social Work Computing and Instructional Technology Columbia College

    Original URL path: http://cuit.columbia.edu/cuit/cuit-public-computing-facilities/columbianet-kiosk-stations/columbianet-kiosk-software (2016-05-01)
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