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Parallel Computing Technologies

15th International Conference, PaCT 2019, Almaty, Kazakhstan, August 19–23, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Victor Malyshkin

    1. Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University, Novosibirsk State Technical University, Novosibirsk, Russia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11657)

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

Included in the following conference series:

Conference proceedings info: PaCT 2019.

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About this book

This book constitutes the proceedings of the 15th International Conference on Parallel Computing Technologies, PaCT 2019, held in Almaty, Kazakhstan, in August 2019.

The 24 full papers and 10 short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Programming Languages and Execution Environments; Methods and Tools for Parallel Solution of Large-Scale Problems; Data Processing; Cellular Automata; and Distributed Algorithms.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Programming Languages and Execution Environments

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Automated Construction of High Performance Distributed Programs in LuNA System

      • Darkhan Akhmed-Zaki, Danil Lebedev, Victor Malyshkin, Vladislav Perepelkin
      Pages 3-9

    3. LuNA-ICLU Compiler for Automated Generation of Iterative Fragmented Programs

      • Nikolay Belyaev, Sergey Kireev
      Pages 10-17

    4. Objects of Alternative Set Theory in Set@l Programming Language

      • Ilya I. Levin, Alexey I. Dordopulo, Ivan V. Pisarenko, Andrey K. Melnikov
      Pages 18-31

    5. Mathematical Abstraction in a Simple Programming Tool for Parallel Embedded Systems

      • Fritz Mayer-Lindenberg
      Pages 32-50

    6. Improving the Accuracy of Energy Predictive Models for Multicore CPUs Using Additivity of Performance Monitoring Counters

      • Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu, Alexey Lastovetsky
      Pages 51-66

    7. An Experimental Study of Data Transfer Strategies for Execution of Scientific Workflows

      • Oleg Sukhoroslov
      Pages 67-79

    8. Preference Based and Fair Resources Selection in Grid VOs

      • Victor Toporkov, Dmitry Yemelyanov, Anna Toporkova
      Pages 80-92

    9. CAPE: A Checkpointing-Based Solution for OpenMP on Distributed-Memory Architectures

      • Van Long Tran, Éric Renault, Viet Hai Ha
      Pages 93-106

    10. Compiler Generated Progress Estimation for OpenMP Programs

      • Peter Zangerl, Peter Thoman, Thomas Fahringer
      Pages 107-121

  3. Methods and Tools for Parallel Solution of Large-Scale Problems

    1. Front Matter

      Pages 123-123
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    2. Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors

      • Ilya V. Afanasyev, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi
      Pages 125-139

    3. Efficient Parallel Solvers for the FireStar3D Wildfire Numerical Simulation Model

      • Oleg Bessonov, Sofiane Meradji
      Pages 140-150

    4. Optimizing a GPU-Parallelized Ant Colony Metaheuristic by Parameter Tuning

      • Andrey Borisenko, Sergei Gorlatch
      Pages 151-165

    5. Parallel Dimensionality Reduction for Multiextremal Optimization Problems

      • Victor Gergel, Vladimir Grishagin, Ruslan Israfilov
      Pages 166-178

    6. Multiple-Precision Scaled Vector Addition on Graphics Processing Unit

      • Konstantin Isupov, Alexander Kuvaev
      Pages 179-186

    7. HydroBox3D: Parallel & Distributed Hydrodynamical Code for Numerical Simulation of Supernova Ia

      • Igor Kulikov, Igor Chernykh, Dmitry Karavaev, Evgeny Berendeev, Viktor Protasov
      Pages 187-198

    8. GPU Implementation of ConeTorre Algorithm for Fluid Dynamics Simulation

      • Vadim Levchenko, Andrey Zakirov, Anastasia Perepelkina
      Pages 199-213

    9. GPU-Aware AMR on Octree-Based Grids

      • Pavel Pavlukhin, Igor Menshov
      Pages 214-220
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Other volumes

  1. Parallel Computing Technologies

Editors and Affiliations

  • Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk State University, Novosibirsk State Technical University, Novosibirsk, Russia

    Victor Malyshkin

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