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High Performance Computing for Computational Science – VECPAR 2018

13th International Conference, São Pedro, Brazil, September 17-19, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Hermes Senger

    1. Federal University of São Carlos, São Carlos, Brazil

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  2. Osni Marques

    1. Lawrence Berkeley National Laboratory, Berkeley, USA

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  3. Rogerio Garcia

    1. Universidade Estadual Paulista Júlio de Mesquita Filho, Presidente Prudente, Brazil

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  4. Tatiana Pinheiro de Brito

    1. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, Brazil

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  5. Rogério Iope

    1. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, Brazil

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  6. Silvio Stanzani

    1. Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, Brazil

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  7. Veronica Gil-Costa

    1. Universidad Nacional de San Luis, San Luis, Argentina

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11333)

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

Included in the following conference series:

Conference proceedings info: VECPAR 2018.

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Table of contents (18 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Regular Papers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Communication–Free Parallel Mesh Multiplication for Large Scale Simulations

      • Rômulo M. Silva, Benaia S. J. Lima, José J. Camata, Renato N. Elias, Alvaro L. G. A. Coutinho
      Pages 3-15

    3. Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms

      • Tiago Carneiro, Jan Gmys, Nouredine Melab, Francisco Heron de Carvalho Junior, Pedro Pedrosa Rebouças Filho, Daniel Tuyttens
      Pages 16-30

    4. Design, Implementation and Performance Analysis of a CFD Task-Based Application for Heterogeneous CPU/GPU Resources

      • Lucas Leandro Nesi, Lucas Mello Schnorr, Philippe Olivier Alexandre Navaux
      Pages 31-44

    5. Optimizing Packed String Matching on AVX2 Platform

      • Mehmet Akif Aydoğmuş, M. Oğuzhan Külekci
      Pages 45-61

    6. A GPU-Based Metaheuristic for Workflow Scheduling on Clouds

      • Elliod Cieza, Luan Teylo, Yuri Frota, Cristiana Bentes, Lúcia M. A. Drummond
      Pages 62-76

    7. A Systematic Mapping on High-Performance Computing for Protein Structure Prediction

      • Gesiel Rios Lopes, Paulo Sergio Lopes de Souza, Alexandre C. B. Delbem
      Pages 77-91

    8. Performance Evaluation of Deep Learning Frameworks over Different Architectures

      • Rafael Gauna Trindade, João Vicente Ferreira Lima, Andrea Schwerner Charão
      Pages 92-104

    9. Non-uniform Domain Decomposition for Heterogeneous Accelerated Processing Units

      • Gabriel Freytag, Philippe Olivier Alexandre Navaux, João Vicente Ferreira Lima, Lucas Mello Schnorr, Paolo Rech
      Pages 105-118

    10. Performance Evaluation of Two Load Balancing Algorithms for Hybrid Clusters

      • Tiago Marques do Nascimento, Rodrigo Weber dos Santos, Marcelo Lobosco
      Pages 119-131

    11. An Improved OpenMP Implementation of the TVD–Hopmoc Method Based on a Cluster of Points

      • Frederico Cabral, Carla Osthoff, Roberto Pinto Souto, Gabriel P. Costa, Sanderson L. Gonzaga de Oliveira, Diego N. Brandão et al.
      Pages 132-145

    12. A Scheduling Theory Framework for GPU Tasks Efficient Execution

      • Antonio-Jose Lázaro-Muñoz, Bernabé López-Albelda, Jose María González-Linares, Nicolás Guil
      Pages 146-159

    13. A Timer-Augmented Cost Function for Load Balanced DSMC

      • William McDoniel, Paolo Bientinesi
      Pages 160-173

    14. Accelerating Scientific Applications on Heterogeneous Systems with HybridOMP

      • Matthias Diener, Daniel J. Bodony, Laxmikant Kale
      Pages 174-187

    15. A New Parallel Benchmark for Performance Evaluation and Energy Consumption

      • Adriano Marques Garcia, Claudio Schepke, Alessandro Gonçalves Girardi, Sherlon Almeida da Silva
      Pages 188-201

    16. Bigger Buffer k-d Trees on Multi-Many-Core Systems

      • Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
      Pages 202-214

    17. A Parallel Generator of Non-Hermitian Matrices Computed from Given Spectra

      • Xinzhe Wu, Serge G. Petiton, Yutong Lu
      Pages 215-229

    18. LRMalloc: A Modern and Competitive Lock-Free Dynamic Memory Allocator

      • Ricardo Leite, Ricardo Rocha
      Pages 230-243

  3. Short Paper

    1. Front Matter

      Pages 245-245
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on High Performance Computing in Computational Science, VECPAR 2018, held in São Pedro, Brazil, in September 2018.

The 17 full papers and one short paper included in this book were carefully reviewed and selected from 32 submissions presented at the conference. The papers cover the following topics: heterogeneous systems, shared memory systems and GPUs, and techniques including domain decomposition, scheduling and load balancing, with a strong focus on computational science applications.

Editors and Affiliations

  • Federal University of São Carlos, São Carlos, Brazil

    Hermes Senger

  • Lawrence Berkeley National Laboratory, Berkeley, USA

    Osni Marques

  • Universidade Estadual Paulista Júlio de Mesquita Filho, Presidente Prudente, Brazil

    Rogerio Garcia

  • Universidade Estadual Paulista Júlio de Mesquita Filho, São Paulo, Brazil

    Tatiana Pinheiro de Brito, Rogério Iope, Silvio Stanzani

  • Universidad Nacional de San Luis, San Luis, Argentina

    Veronica Gil-Costa

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