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2018 IEEE 4th International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB)

24-24 Feb. 2018

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Displaying Results 1 - 16 of 16
  • [Title page i]

    Publication Year: 2018, Page(s): 1
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  • [Title page iii]

    Publication Year: 2018, Page(s): 3
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  • [Copyright notice]

    Publication Year: 2018, Page(s): 4
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  • Table of contents

    Publication Year: 2018, Page(s):5 - 6
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  • Welcome Message

    Publication Year: 2018, Page(s): 7
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  • Committees

    Publication Year: 2018, Page(s): 8
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  • Keynote

    Publication Year: 2018, Page(s): 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (77 KB)

    This talk provides an overview of recent research results in high-performance networking. We discuss the history and design tradeoffs for large-scale topologies following the growing demand for low latency and high throughput at lowest cost. We then introduce a high-performance cost-effective network topology called Slim Fly that approaches the theoretically optimal network diameter. We analyze Sl... View full abstract»

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  • Panel: industrial perspective of high-speed communication technology evolution

    Publication Year: 2018, Page(s): 10
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  • Analysis and Improvement of Valiant Routing in Low-Diameter Networks

    Publication Year: 2018, Page(s):1 - 8
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (199 KB) | HTML iconHTML

    Valiant routing randomizes network traffic to avoid pathological congestion issues by diverting traffic to a random intermediate switch. It has received significant attention in recently proposed high-radix, low-diameter topologies, which are prone to congestion issues. It has been implemented obliviously, or as the basis of some non-minimal adaptive routing algorithms. An analysis of the original... View full abstract»

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  • Node-Type-Based Load-Balancing Routing for Parallel Generalized Fat-Trees

    Publication Year: 2018, Page(s):9 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (162 KB) | HTML iconHTML

    High-Performance Computing (HPC) clusters are made up of a variety of node types (usually compute, I/O, service, and GPGPU nodes) and applications don't use nodes of a different type the same way. Resulting communication patterns reflect organization of groups of nodes, and current optimal routing algorithms for all-to-all patterns will not always maximize performance for group-specific communicat... View full abstract»

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  • Evaluating Energy-Saving Strategies on Torus, K-Ary N-Tree, and Dragonfly

    Publication Year: 2018, Page(s):16 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB) | HTML iconHTML

    Energy is one of the most crucial factors in the design of large-scale computing systems, especially high-performance computing. While exascale systems could be built with current hardware solutions, the required funding exceeds the budget of most institutions. Since a system is never fully utilized, energy-proportional components can save a substantial amount of energy. However, current interconn... View full abstract»

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  • Analyzing Topology Parameters for Achieving Energy-Efficient k-ary n-cubes

    Publication Year: 2018, Page(s):24 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB) | HTML iconHTML

    Achieving an optimal performance/energy ratio is a challenge for massively parallel computer architects, and in particular for the interconnection network designers. The k-ary n-cube is one of the most popular topologies used in the largest current supercomputers. In this paper, we present a study that considers two alternatives to build k-ary n-cube topologies taking advantage of the high-radix s... View full abstract»

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  • VEF3 Traces: Towards a Complete Framework for Modelling Network Workloads for Exascale Systems

    Publication Year: 2018, Page(s):32 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (154 KB) | HTML iconHTML

    To meet the expected performance requirements of applications running on future exascale systems, the number of processing nodes included in such systems will have to increase and, according to the current trend, also the number of cores in each node. In these systems, the networks, both off- and on-chip, interconnecting these nodes and cores inside nodes, respectively, will have to be much more e... View full abstract»

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  • Improving the Efficiency of Future Exascale Systems with rCUDA

    Publication Year: 2018, Page(s):40 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (326 KB) | HTML iconHTML

    The computing power of supercomputers and data centers has noticeably grown during the last decades at the cost of an ever increasing energy demand. The need for energy (and power) of these facilities has finally limited the evolution of high performance computing, making that many researchers are concerned not only about performance but also about energy efficiency. However, despite the many conc... View full abstract»

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  • Author index

    Publication Year: 2018, Page(s): 49
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  • [Publisher's information]

    Publication Year: 2018, Page(s): 50
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