Browsing by Subject "High performance computing"

Now showing 1 - 4 of 4
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    Advancing Expert Human-Computer Interaction Through Music
    (Michigan Publishing, 2012-09) Smith, Benjamin D.; Garnett, Guy E.
    One of the most important challenges for computing over the next decade is discovering ways to augment and extend human control over ever more powerful, complex, and numerous devices and software systems. New high-dimensional input devices and control systems provide these affordances, but require extensive practice and learning on the part of the user. This paper describes a system created to leverage existing human expertise with a complex, highly dimensional interface, in the form of a trained violinist and violin. A machine listening model is employed to provide the musician and user with direct control over a complex simulation running on a high-performance computing system.
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    Interactive High Performance Computing for Music
    (Michigan Publishing, 2011-07-31) Smith, Benjamin D.; Garnett, Guy E.
    The origins of computer music are closely tied to the development of the first high-performance computers associated with major academic and research institutions. These institutions have continued to build extremely powerful computers, now containing thousands of CPUs with incredible processing power. Their precursors were typically designed to operate in non-real time, “batch” mode, and that tradition has remained a dominant paradigm for high performance computing. We describe experimental research in developing the interactive use of a modern high- performance machine, the Abe supercomputer at the National Center for Supercomputing Applications on the University of Illinois at Urbana-Champaign campus, for real-time musical and artistic purposes. We describe the requirements, development, problems, and observations from this project.
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    Reducing handoff latency in proxy mobile IPv6
    (2014-05-21) Vojini, Sumith Dev; Dongsoo, Stephen Kim; King, Brian; Salama, Paul
    Mobile IP though allows mobility features to a node it suffers from signaling Latencies which are mainly incurred due to the fact that the MN itself is involved in the handover process. To overcome this problem proxy mobile IPv6(PMIPv6) was defined where the mobility signaling is taken care of by a proxy server while keeping track of the MN's movement. PMIPv6 has considerably reduced the handover latency but the demand for real time applications over the network has increased tremendously due to recent explosion of the cloud era. My thesis focuses on increasing the L3 handoff signaling efficiency by reducing the latency. This is achieved by our idea to do both the AAA authentication as well as the LMA registration in PMIPv6 at the same time. The simulation results show that our proposed approach perform better than the current PMIPv6 L3 handover signaling reducing the latency as well as packet loss.
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    Towards a high performance parallel library to compute fluid flexible structures interactions
    (2015-04-08) Nagar, Prateek; Song, Fengguang; Zhu, Luoding; Mukhopadhyay, Snehasis
    LBM-IB method is useful and popular simulation technique that is adopted ubiquitously to solve Fluid-Structure interaction problems in computational fluid dynamics. These problems are known for utilizing computing resources intensively while solving mathematical equations involved in simulations. Problems involving such interactions are omnipresent, therefore, it is eminent that a faster and accurate algorithm exists for solving these equations, to reproduce a real-life model of such complex analytical problems in a shorter time period. LBM-IB being inherently parallel, proves to be an ideal candidate for developing a parallel software. This research focuses on developing a parallel software library, LBM-IB based on the algorithm proposed by [1] which is first of its kind that utilizes the high performance computing abilities of supercomputers procurable today. An initial sequential version of LBM-IB is developed that is used as a benchmark for correctness and performance evaluation of shared memory parallel versions. Two shared memory parallel versions of LBM-IB have been developed using OpenMP and Pthread library respectively. The OpenMP version is able to scale well enough, as good as 83% speedup on multicore machines for <=8 cores. Based on the profiling and instrumentation done on this version, to improve the data-locality and increase the degree of parallelism, Pthread based data centric version is developed which is able to outperform the OpenMP version by 53% on manycore machines. A distributed version using the MPI interfaces on top of the cube based Pthread version has also been designed to be used by extreme scale distributed memory manycore systems.