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  • Summer Institute Application
    Supercomputing Support Networking Support Summer Institute Application Info Projects Schedule Preparations FAQs Students SI Archive SI Alumni Support SI For information about SI please contact si contact osc edu or call 614 292 9248 To receive updated SI information sign up for our mailing list SI Testimonials Ohio Supercomputer Center Summer Institute 2012 Student application overview Students are selected through a competitive application process The student application consists of a Student Information form a Student Essay and two Teacher Recommendations The top scoring students will be selected for the program A submitted application does not guarantee participation Online Application Process To apply for this year s Summer Institute Start an SI Application Account at http sc11 osc edu si applications apply step1 Enter your Student Information Enter two Teacher Recommendations You will need your teacher s name and email address If you cannot get your teacher s email address please call 614 292 9248 or email si contact osc edu Complete your Student Essay You will be able to log in at http sc11 osc edu user until April 16 2012 to update your application and to see the progress of your teacher recommendations Application Deadline April 16 2012 The

    Original URL path: http://archive.osc.edu/education/si/application/index.shtml (2013-06-13)
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  • OSC’s Tomko to champion high-performance computing
    replaces and expands on the NSF TeraGrid project More than 10 000 scientists used the TeraGrid to complete thousands of research projects at no cost to the scientists That same sort of work only in more detail generating more new knowledge and improving our world in an even broader range of fields continues with XSEDE I d like to see more researchers thinking about the problems they could solve with ten times or 100 times more computing resources than they are currently using and to encourage researchers to be bolder in their computational goals Tomko said As a Campus Champion for OSC Tomko will support the researchers who leverage the center s resources Through Tomko those researchers will have direct access to XSEDE and input to its staff resource allocations for the researchers and assistance in using those resources Tomko will receive regular correspondence from XSEDE on new resources services and offerings She also will participate in User Services Working Group teleconferences forums for sharing information among other Campus Champions and XSEDE personnel and training at the XSEDE conference regular meetings and through online forums Having Dr Tomko in a position to collect and share this vital information with our research community will help dramatically lower the technological barriers to the access and use of extremely powerful computing resources said Steven Gordon interim co executive director of OSC and the lead for XSEDE education programs This flow of information coupled with Karen s rich history of collaborations in computer science and engineering research will prove invaluable Using XSEDE researchers can establish private secure environments that have all the resources services and collaboration support they need to be productive Initially XSEDE supports 16 supercomputers and high end visualization and data analysis resources across the country It also includes other specialized digital

    Original URL path: http://archive.osc.edu/press/releases/2012/Tomko.shtml (2013-06-13)
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  • Bokhari tests performance of diverse HPC architectures
    solution of the subset sum problem an empirical study The paper is based upon a master s thesis written last year by computer science and engineering graduate student Saniyah Bokhari We explore the parallelization of the subset sum problem on three contemporary but very different architectures a 128 processor Cray massively multithreaded machine a 16 processor IBM shared memory machine and a 240 core NVIDIA graphics processing unit said Bokhari These experiments highlighted the strengths and weaknesses of these architectures in the context of a well defined combinatorial problem Bokhari evaluated the conventional central processing unit architecture of the IBM 1350 Glenn Cluster at the Ohio Supercomputer Center OSC and the less traditional general purpose graphic processing unit GPGPU architecture available on the same cluster She also evaluated the multithreaded architecture of a Cray Extreme Multithreading XMT supercomputer at the Pacific Northwest National Laboratory s PNNL Center for Adaptive Supercomputing Software Ms Bokhari s work provides valuable insights into matching the best high performance computing architecture with the computational needs of a given research community noted Ashok Krishnamurthy interim co executive director of OSC These systems are continually evolving to incorporate new technologies such as GPUs in order to achieve new higher performance measures and we must understand exactly what each new innovation offers Each of the architectures Bokhari tested fall in the area of parallel computing where multiple processors are used to tackle pieces of complex problems in parallel The subset sum problem she used for her study is an algorithm with known solutions that is solvable in a period of time that is proportional to the number of objects entered multiplied by the sum of their sizes Also she carefully timed the code runs for solving a comprehensive range of problem sizes Bokhari concluded that the GPU performs well for problems whose tables fit within the limitations of the device memory Because GPUs typically have memory sizes in the range of 10 gigabytes GB such architectures are best for small problems that have table sizes of approximately thirty billion bits She found that the IBM x3755 performed very well on medium sized problems that fit within its 64 GB memory but had poor scalability as the number of processors increased and was unable to sustain its performance as the problem size increased The machine tended to saturate for problem with table sizes of 300 billion bits The Cray XMT showed very good scaling for large problems and demonstrated sustained performance as the problem size increased she said However the Cray had poor scaling for small problem sizes performing best with table sizes of a trillion bits or more In conclusion we can state that the NVIDIA GPGPU is best suited to small problem sizes the IBM x3755 performs well for medium sizes and the Cray XMT is the clear choice for large problems Bokhari said For the XMT we expect to see better performance for large problem sizes should memory larger than 1 TB become available The Ohio

    Original URL path: http://archive.osc.edu/press/releases/2012/Bokhari.shtml (2013-06-13)
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  • Green ‘Oakley Cluster’ to double OSC computing power
    a state funded high performance computing center that provides Ohio s universities industries and other clients with computation software storage and support services OSC s centralized support increases the opportunities for researchers statewide to innovate and successfully compete for grants and national supercomputing resources Major users of OSC s resources have focused on research in the areas of the biosciences advanced materials energy and the environment The new system arrived Dec 28 on the west campus of The Ohio State University where engineers have been working to assemble the complex system install various software packages and test run the system by allowing access to a few selected power users Earlier the engineers made room for the Oakley Cluster by removing the older half of the Glenn Cluster which in December logged its 150 millionth hour of computational use by OSC clients A recent survey of Ohio universities indicated that researchers who leverage OSC resources annually garner more than 140 million in research funding a huge return on investment for the state explains Ashok Krishnamurthy interim co executive director of the center and senior director of research And as we deploy each powerful new computational system we see our researchers react by leveraging even more sophisticated applications to analyze even larger data sets to solve even more complex science and industrial problems Among many OSC initiatives that will benefit from the features of the new system are the Blue Collar Computing TM BCC program and the virtual Ralph Regula School of Computational Science One of the center s most pioneering projects BCC provides high performance computing for small and mid sized companies that do not have the time money or expertise to invest in supercomputing resources The Ralph Regula School developed through funding from the National Science Foundation coordinates computational science education programs statewide that lead to a baccalaureate minor an associate degree concentration and a workforce certification The school empowers the workforce with the computational science knowledge and skills for additional employment and advanced education opportunities said Steven Gordon interim co executive director of OSC and executive director of the Ralph Regula School Following the wider deployment of the Oakley Cluster OSC will offer training with the new system including such topics as parallel programming and various languages The Oakley Cluster s 2012 deployment coincides with the 25th anniversary of the establishment of the center in 1987 to place Ohio universities and industry at the forefront of computational research OSC is a member of the Ohio Technology Consortium the technology arm of the Ohio Board of Regents and is located on the west campus of The Ohio State University Examples of recent research being conducted on OSC systems BIOSCIENCES Seeking a new antidote for nerve agents Ohio State chemist Christopher Hadad accessed OSC resources to model paraoxonase bound to a ligand More Hadad OSU ADVANCED MATERIALS Backed by growing industrial interest Sadhan Jana s University of Akron team used OSC systems to simulate organic tie molecules on multi walled carbon

    Original URL path: http://archive.osc.edu/press/releases/2012/Oakley_Cluster.shtml (2013-06-13)
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  • Garafolo tests spacecraft seal to verify computer models
    computational pressure profiles top and computational mass flux bottom of a potential main interface seal for docking at the International Space Station and other new spacecraft Garafolo UA Garafolo recently analyzed a two piece elastic silicone or elastomer seal using the IBM 1350 Glenn computer cluster at the Ohio Supercomputer Center OSC His model simulated air leakage through the elastomer taking into account the effects of gas compressibility and variable permeability Recent advances in both analytical and computational permeation evaluations in elastomer space seals offer the ability to predict the leakage of space seals said Nicholas Garafolo Ph D a research assistant professor in the College of Engineering at The University of Akron UA Up until recently the design of state of the art space seals has relied heavily on intuition and costly experimental evaluations My research evaluated the performance of the compressible permeation approach on a space seal candidate Garafolo serves on a research team tasked with testing polymer metal seals being considered for future advanced docking and berthing systems The university researchers work with partners in Cleveland Ohio at NASA s Glenn Research Center which is responsible for developing the main interface seals for the new International Low Impact Docking System iLIDS For many years Ohio industry has invested heavily in the aviation aerospace and manufacturing sectors which naturally led OSC to focus a portion of its computational resources on the field of advanced materials said Ashok Krishnamurthy interim co executive director of the center Dr Garafolo s work is an excellent example of how modeling and simulation often allows scientists to analyze materials in ways not possible through simple observation or physical experimentation NASA has been developing low impact docking seals for manned missions to the International Space Station as well as for future exploratory missions Common to all docking systems a main interface seal is mated to a metallic flange to provide the gas pressure seal The two piece seal system for which experimental studies of seal performance are well documented utilizes two elastomer bulbs connected with a web and retained with a separate metallic ring Garafolo explained Baseline referent leak rate experiments were performed with a multitude of pressure differentials The prediction method consisted of a computational analysis of referent geometry with temperature and pressure boundary conditions To establish an analytical understanding of space seal leakage and construct their computational prediction tool Garafolo and his colleagues modeled how air leaked into and through the elastomer seal while taking into account the effects of gas compressibility and the variability of permeation on air pressure The research team s first evaluations showed significant correlations between the experimental values and the computer modeled results For pressure differentials near operating conditions the leak rates determined by the model accurately reflected the experimental results within the bounds of uncertainty For pressure differentials exceeding normal operating conditions the differences between the experimental results and computational numbers were not quite as close as expected The larger differences in the leak rates however

    Original URL path: http://archive.osc.edu/press/releases/2012/Garafolo.shtml (2013-06-13)
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  • Ohio Supercomputer Center RSS Feeds
    Networking Support OSC Media Contacts Jamie Abel Media Relations Manager 614 292 6495 jabel osc edu Press Room Current News Press Releases by Date Press Releases by Subject OSC in the News by Date OSC in the News by Subject Important Dates Media Kit RSS Feeds What is RSS Really Simple Syndication RSS is a lightweight XML format designed for sharing headlines and other web content RSS allows users to subscribe to their favorite websites A program known as a feed reader or aggregator can check a list of feeds on behalf of a user and display any updated articles that it finds Click here for more information on RSS feeds How do I subscribe First you need to install software that will alert you anytime there is an update to one of your favorite sites If you are using Mozilla Thunderbird as an email client you may also use it to read RSS feeds If you are not using Mozilla s Thunderbird email client you will need to choose one of the news readers from the list below Once you download and install a newsreader simply copy and paste the URL of a news feed http www osc edu

    Original URL path: http://archive.osc.edu/press/rss.shtml (2013-06-13)
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  • Ohio Supercomputer Center E-mail Lists
    s Summer Institute HPC and Software Training Current Training and Events Educators Online OCS Lecture Series Press Releases Headlines Calendar of Events About OSC Media Kit OSC Media Contacts Staff Directory Visit OSC Supercomputing Support Networking Support About Us At A Glance Mission People and Committees Partners Careers Visit OSC Calendar of Events Tours Ohio Supercomputer Center E mail Lists Please fill out the information below to receive periodic e

    Original URL path: http://archive.osc.edu/about/email.shtml (2013-06-13)
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  • Ohio Supercomputer Center Privacy Policy
    Institute HPC and Software Training Current Training and Events Educators Online OCS Lecture Series Press Releases Headlines Calendar of Events About OSC Media Kit OSC Media Contacts Staff Directory Visit OSC Supercomputing Support Networking Support About Us At A Glance Mission People and Committees Partners Careers Visit OSC Calendar of Events Tours Ohio Supercomputer Center respects your privacy We do not use cookies except for our forums The current web forum we use does use session cookies for logging in However they are not saved beyond the current browser session We do not gather personally identifiable information unless you are a conference registrant or sign up to be part of the OSC mailing list OSC registrants and those who sign up for the OSC mailing list will be sent announcements related to OSC events This mailing list will only be used for OSC and OSC purposes and will not be sold or distributed to third parties The OSC website collects the information stored in standard HTTP log files including Internet Protocol Address IP Address of the machine which accessed our Web site Date of the visit Time of the visit Path taken through our Web site Browser being used A

    Original URL path: http://archive.osc.edu/about/privacy.shtml (2013-06-13)
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