2016 2nd IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB)

12-12 March 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): C4
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - vi
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  • Welcome Message from the Organizers

    Publication Year: 2016, Page(s): vii
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  • Committees

    Publication Year: 2016, Page(s): viii
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  • A New Fault-Tolerant Routing Methodology for KNS Topologies

    Publication Year: 2016, Page(s):1 - 8
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    Exascale computing systems are being built with thousands of nodes. A key component of these systems is the interconnection network. The high number of components significantly increases the probability of failure. If failures occur in the interconnection network, they may isolate a large fraction of the machine. For this reason, an efficient fault-tolerant mechanism is needed to keep the system i... View full abstract»

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  • Exploring Low-Latency Interconnect for Scaling Out Software Routers

    Publication Year: 2016, Page(s):9 - 15
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    We propose and evaluate RoCE (RDMA over Converged Ethernet) as a low-latency back-plane for horizontally scaled software router nodes. By exploring combinations of design choices in developing internal fabric for software routers, we select a set of parameters and packet I/O APIs that yield the lowest latency and highest throughput. Using the optimal settings derived, we measure and compare latenc... View full abstract»

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  • Transitively Deadlock-Free Routing Algorithms

    Publication Year: 2016, Page(s):16 - 24
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    In exascale platforms, faults are likely to occur more and more frequently due to the huge number of components. To handle them, the BXI fabric management uses a generic architecture that specifies two distinct modes of operations: offline mode computes, validates and uploads nominal routing tables, while online mode reacts at runtime to failures and recoveries by computing small patches and by up... View full abstract»

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  • Analyzing the Energy (Dis-) Proportionality of Scalable Interconnection Networks

    Publication Year: 2016, Page(s):25 - 32
    Cited by:  Papers (2)
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    Power consumption is one of the most important aspects regarding design and operation of large computing systems, such as High-Performance Computing (HPC) and cloud installations. Various hard constraints exist due to technical, economic and ecological reasons. We will show that interconnection networks contribute substantially to power consumption, even though their peak power rating is low compa... View full abstract»

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  • Providing Differentiated Services, Congestion Management, and Deadlock Freedom in Dragonfly Networks

    Publication Year: 2016, Page(s):33 - 40
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (344 KB) | HTML iconHTML

    High-Performance Computing (HPC) systems and Datacenters are growing in size to meet the performance required by the applications. This makes the interconnection network a central element in these systems, which must provide high-communication bandwidth and low latency. One of the most important aspects in the design of interconnection networks is their topology. In that sense, the Dragonfly topol... View full abstract»

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  • Remote GPU Virtualization: Is It Useful?

    Publication Year: 2016, Page(s):41 - 48
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (700 KB) | HTML iconHTML

    Graphics Processing Units (GPUs) are currently used in many computing facilities. However, GPUs present several side effects, such as increased acquisition costs as well as larger space requirements. Also, GPUs still require some amount of energy while idle and their utilization is usually low. In a similar way to virtual machines, using virtual GPUs may address the mentioned concerns. In this reg... View full abstract»

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  • Application Performance Impact on Trimming of a Full Fat Tree InfiniBand Fabric

    Publication Year: 2016, Page(s):49 - 54
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (397 KB) | HTML iconHTML

    We measured InfiniBand traffic in our full fat tree fabric and measured performance impact of trimming the fabric on our major application kernels. Based on traffic pattern analysis and application performance impact we infer that a 2:1 trimmed fat tree is a cost effective alternative to a full fat tree for this specific set of applications. The methodology we used may be useful for others who are... View full abstract»

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  • Combining OpenFabrics Software and Simulation Tools for Modeling InfiniBand-Based Interconnection Networks

    Publication Year: 2016, Page(s):55 - 58
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (194 KB) | HTML iconHTML

    The design of interconnection networks is becoming extremely important for High-Performance Computing (HPC) systems in the Exascale Era. Design decisions like the selection of the network topology, routing algorithm, fault tolerance and/or congestion control are crucial for the network performance. Besides, the interconnection network designers are also focused on creating middleware layers compat... View full abstract»

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  • Author index

    Publication Year: 2016, Page(s): 59
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  • [Publisher's information]

    Publication Year: 2016, Page(s): 60
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