2017 International Conference on High Performance Computing & Simulation (HPCS)

17-21 July 2017

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  • [Front cover]

    Publication Year: 2017, Page(s): c1
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  • [Title page i]

    Publication Year: 2017, Page(s): i
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  • [Title page iii]

    Publication Year: 2017, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2017, Page(s): iv
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  • Table of contents

    Publication Year: 2017, Page(s):v - xv
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  • HPCS 2017 Organization

    Publication Year: 2017, Page(s):xvi - xxvi
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  • HPCS 2017 Symposia, Workshops and Special Sessions

    Publication Year: 2017, Page(s):xxvii - xxx
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  • HPCS 2017 Preface

    Publication Year: 2017, Page(s): xxxi
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  • HPCS 2017 Program Message

    Publication Year: 2017, Page(s):xxxii - xxxiii
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  • HPCS 2017 Keynotes

    Publication Year: 2017, Page(s):xxxiv - xxxvii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    Provides an abstract for each of the keynote presentations and may include a brief professional biography of each View full abstract»

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  • HPCS 2017 Tutorials

    Publication Year: 2017, Page(s):xxxviii - lvi
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  • HPCS 2017 Panel Sessions

    Publication Year: 2017, Page(s):lvii - lx
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  • HPCS 2017 Demo Sessions

    Publication Year: 2017, Page(s):lxi - lxviii
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  • HPCS 2017 Doctoral Dissertation Colloquium

    Publication Year: 2017, Page(s): lxix
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  • HPCS 2017 Poster Papers and Posters

    Publication Year: 2017, Page(s): lxx
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  • HPCS 2017 Sponsors

    Publication Year: 2017, Page(s):lxxi - lxxv
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  • HPCS 2017 Exhibits

    Publication Year: 2017, Page(s): lxxvi
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  • Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers — Survey & Tutorial

    Publication Year: 2017, Page(s):3 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    Power and energy consumption are seen of one of the most critical design factor for any next generation large-scale HPC system. The price centers have to pay for energy is shifting the budgets from investment to operating costs, leading to scenarios in which the sizes of systems will be determined by their power needs, rather by the initial hardware cost. As a consequence, virtually all funding ag... View full abstract»

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  • FLAME GPU: Complex System Simulation Framework

    Publication Year: 2017, Page(s):11 - 17
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1684 KB) | HTML iconHTML

    FLAME GPU is an agent based simulation frame-work that utilises the parallel architecture of Graphic Processing Unit (GPU) to enable real time model interaction and visualisation. In this paper, we provide an overview of the features of FLAME GPU and demonstrate its efficiency as a parallel agent based simulation platform. FLAME GPU abstracts the complexity of the GPU architecture from the users b... View full abstract»

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  • Modeling the Internet of Things: a simulation perspective

    Publication Year: 2017, Page(s):18 - 27
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (682 KB) | HTML iconHTML

    This paper deals with the problem of properly simulating the Internet of Things (loT). Simulating an loT allows evaluating strategies that can be employed to deploy smart services over different kinds of territories. However, the heterogeneity of scenarios seriously complicates this task. This imposes the use of sophisticated modeling and simulation techniques. We discuss novel approaches for the ... View full abstract»

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  • Evolvable Systems for Big Data Management in Business

    Publication Year: 2017, Page(s):28 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (437 KB) | HTML iconHTML

    Big Data systems are increasingly having to be longer lasting, enterprise-wide and interoperable with other (legacy or new) systems. Furthermore many organizations operate in an external environment which dictates change at an unforeseeable rate and requires evolution in system requirements. In these cases system development does not have a definitive end point, rather it continues in a mutually c... View full abstract»

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  • Effective High Performance Computing using Peer To Peer Networks

    Publication Year: 2017, Page(s):32 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (680 KB) | HTML iconHTML

    The advances in computational techniques both from a software and hardware viewpoint lead to the development of projects whose complexity could be quite challenging, e.g., biomedical simulations. In order to deal with the increased demand of computational power many collaborative approaches have been proposed in order apply proper partitioning strategy able to assign pieces of execution to a crowd... View full abstract»

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  • Linked Thesauri Quality Assessment and Documentation for Big Data Discovery

    Publication Year: 2017, Page(s):37 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (365 KB) | HTML iconHTML

    Thesauri are knowledge systems which may ease Big Data access, fostering their integration and re-use. Currently several Linked Data thesauri covering multi-disciplines are available. They provide a semantic foundation to effectively support cross-organization and cross-disciplinary management and usage of Big Data. Thesauri effectiveness is affected by their quality. Diverse quality measures are ... View full abstract»

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  • Big-Data in Climate Change Models — A Novel Approach with Hadoop MapReduce

    Publication Year: 2017, Page(s):45 - 50
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (390 KB) | HTML iconHTML

    The goal of this work is to present a software package which is able to process binary climate data through spawning Map-Reduce tasks while introducing minimum computational overhead and without modifying existing application code. The package is formed by the combination of two tools, Pipistrello, a Java utility that allows users to execute Map-Reduce tasks over any kind of binary file, Tina a li... View full abstract»

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  • TurBase: A Software Platform for Research in Experimental and Numerical Fluid Dynamics

    Publication Year: 2017, Page(s):51 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (836 KB) | HTML iconHTML

    We present a software infrastructure for the research community working on turbulence and complex flows (TurBase), an easily accessible web platform for high quality data. Its main goal is to host, standardize and manage a large collections of heterogeneous experimental and numerical data sets from high-end European fluid dynamics experimental facilities and from High Performance Computational cen... View full abstract»

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