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Parallel Processing and Applied Mathematics

12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Roman Wyrzykowski

    1. Czestochowa University of Technology, Czestochowa, Poland

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  2. Jack Dongarra

    1. University of Tennessee, Knoxville, USA

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  3. Ewa Deelman

    1. University of Southern California, Marina Del Rey, USA

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  4. Konrad Karczewski

    1. Czestochowa University of Technology, Czestochowa, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10778)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: PPAM 2017.

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Table of contents (45 papers)

  1. Front Matter

    Pages I-XXVI
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  2. Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems

    1. Front Matter

      Pages 1-1
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    2. An Experience Report on (Auto-)tuning of Mesh-Based PDE Solvers on Shared Memory Systems

      • Dominic E. Charrier, Tobias Weinzierl
      Pages 3-13

    3. Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources

      • Livia Marcellino, Raffaele Montella, Sokol Kosta, Ardelio Galletti, Diana Di Luccio, Vincenzo Santopietro et al.
      Pages 14-24

    4. Relaxing the Correctness Conditions on Concurrent Data Structures for Multicore CPUs. A Numerical Case Study

      • Giuliano Laccetti, Marco Lapegna, Valeria Mele, Raffaele Montella
      Pages 25-36

    5. Energy Analysis of a 4D Variational Data Assimilation Algorithm and Evaluation on ARM-Based HPC Systems

      • Rossella Arcucci, Davide Basciano, Alessandro Cilardo, Luisa D’Amore, Filippo Mantovani
      Pages 37-47

    6. Performance Assessment of the Incremental Strong Constraints 4DVAR Algorithm in ROMS

      • Luisa D’Amore, Rossella Arcucci, Yi Li, Raffaele Montella, Andrew Moore, Luke Phillipson et al.
      Pages 48-57

    7. Evaluation of HCM: A New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Cluster

      • Thiago Marques Soares, Rodrigo Weber dos Santos, Marcelo Lobosco
      Pages 58-67

  3. Workshop on Power and Energy Aspects of Computations (PEAC 2017)

    1. Front Matter

      Pages 69-69
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    2. Applicability of the Empirical Mode Decomposition for Power Traces of Large-Scale Applications

      • Gary Lawson, Masha Sosonkina, Tal Ezer, Yuzhong Shen
      Pages 71-80

    3. Efficiency Analysis of Intel, AMD and Nvidia 64-Bit Hardware for Memory-Bound Problems: A Case Study of Ab Initio Calculations with VASP

      • Vladimir Stegailov, Vyacheslav Vecher
      Pages 81-90

    4. GPU Power Modeling of HPC Applications for the Simulation of Heterogeneous Clouds

      • Antonios T. Makaratzis, Malik M. Khan, Konstantinos M. Giannoutakis, Anne C. Elster, Dimitrios Tzovaras
      Pages 91-101

    5. Bi-cluster Parallel Computing in Bioinformatics – Performance and Eco-Efficiency

      • PaweÅ‚ Foszner, PrzemysÅ‚aw Skurowski
      Pages 102-112

    6. Performance and Energy Analysis of Scientific Workloads Executing on LPSoCs

      • Anish Varghese, Joshua Milthorpe, Alistair P. Rendell
      Pages 113-122

    7. Energy Efficient Dynamic Load Balancing over MultiGPU Heterogeneous Systems

      • Alberto Cabrera, Alejandro Acosta, Francisco Almeida, Vicente Blanco
      Pages 123-132

  4. Workshop on Scheduling for Parallel Computing (SPC 2017)

    1. Front Matter

      Pages 133-133
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    2. Scheduling Data Gathering with Maximum Lateness Objective

      • Joanna BerliÅ„ska
      Pages 135-144

    3. Fair Scheduling in Grid VOs with Anticipation Heuristic

      • Victor Toporkov, Dmitry Yemelyanov, Anna Toporkova
      Pages 145-155

    4. A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems

      • Jakub GÄ…sior, Franciszek SeredyÅ„ski, Andrei Tchernykh
      Pages 156-165

    5. Dynamic Load Balancing Algorithm for Heterogeneous Clusters

      • Tiago Marques do Nascimento, Rodrigo Weber dos Santos, Marcelo Lobosco
      Pages 166-175
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Other volumes

  1. Parallel Processing and Applied Mathematics

  2. Parallel Processing and Applied Mathematics

Keywords

About this book

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing and Applied Mathematics, PPAM 2017, held in Lublin, Poland, in September 2017.

The 49 regular papers presented in the proceedings were selected from 98 submissions. For the workshops and special sessions, that were held as integral parts of the PPAM 2017 conference, a total of 51 papers was accepted from 75 submissions.

The papers were organized in topical sections named as follows:

Part I: numerical algorithms and parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; soft computing with applications; and special session on parallel matrix factorizations.

Part II: workshop on models, algorithms and methodologies for hybrid parallelism in new HPC systems; workshop power and energy aspects of computations (PEAC 2017); workshop on scheduling for parallel computing (SPC 2017); workshop on language-based parallel programming models (WLPP 2017); workshop on PGAS programming; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems.

Editors and Affiliations

  • Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski, Konrad Karczewski

  • University of Tennessee, Knoxville, USA

    Jack Dongarra

  • University of Southern California, Marina Del Rey, USA

    Ewa Deelman

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