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High Performance Computing for Computational Science -- VECPAR 2014

11th International Conference, Eugene, OR, USA, June 30 -- July 3, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Michel Daydé

    1. IRIT, ENSEEIHT, Toulouse Cedex, France

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  2. Osni Marques

    1. Lawrence Berkeley National Laboratory, Berkeley, USA

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  3. Kengo Nakajima

    1. Information Technology Center, The University of Tokyo, Tokyo, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8969)

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

Included in the following conference series:

Conference proceedings info: VECPAR 2014.

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Table of contents (25 papers)

  1. Performance Tuning

    1. Performance Characteristics of HYDRA – A Multi-physics Simulation Code from LLNL

      • Steven H. Langer, Ian Karlin, Michael M. Marinak
      Pages 173-181

    2. Accelerating Computation of Eigenvectors in the Dense Nonsymmetric Eigenvalue Problem

      • Mark Gates, Azzam Haidar, Jack Dongarra
      Pages 182-191

    3. Low Byte/Flop Implementation of Iterative Solver for Sparse Matrices Derived from Stencil Computations

      • Kenji Ono, Shuichi Chiba, Shunsuke Inoue, Kazuo Minami
      Pages 192-205

  2. The Ninth International Workshop on Automatic Performance Tuning

    1. Front Matter

      Pages 207-207
      Download chapter PDF

    2. Environment-Sensitive Performance Tuning for Distributed Service Orchestration

      • Yu Lin, Franjo IvanÄŤić, Pallavi Joshi, Gogul Balakrishnan, Malay Ganai, Aarti Gupta
      Pages 209-223

    3. Historic Learning Approach for Auto-tuning OpenACC Accelerated Scientific Applications

      • Shahzeb Siddiqui, Fatemah AlZayer, Saber Feki
      Pages 224-235

    4. Capturing the Expert: Generating Fast Matrix-Multiply Kernels with Spiral

      • Richard Veras, Franz Franchetti
      Pages 236-244

    5. A Study on the Influence of Caching: Sequences of Dense Linear Algebra Kernels

      • Elmar Peise, Paolo Bientinesi
      Pages 245-258

    6. Toward Restarting Strategies Tuning for a Krylov Eigenvalue Solver

      • France Boillod-Cerneux, Serge G. Petiton, Christophe Calvin, Leroy A. Drummond
      Pages 259-268

    7. Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection

      • Takeshi Fukaya, Toshiyuki Imamura, Yusaku Yamamoto
      Pages 269-283

    8. Automatic Parameter Tuning of Three-Dimensional Tiled FDTD Kernel

      • Takeshi Minami, Motoharu Hibino, Tasuku Hiraishi, Takeshi Iwashita, Hiroshi Nakashima
      Pages 284-297

    9. Automatic Parameter Tuning of Hierarchical Incremental Checkpointing

      • Alfian Amrizal, Shoichi Hirasawa, Hiroyuki Takizawa, Hiroaki Kobayashi
      Pages 298-309

  3. Back Matter

    Pages 311-311
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  1. High Performance Computing for Computational Science -- VECPAR 2014

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014. 

The 25 papers presented were carefully reviewed and selected of numerous submissions. The papers are organized in topical sections on algorithms for GPU and manycores, large-scale applications, numerical algorithms, direct/hybrid methods for solving sparse matrices, performance tuning. The volume also contains the papers presented at the 9th International Workshop on Automatic Performance Tuning.

Editors and Affiliations

  • IRIT, ENSEEIHT, Toulouse Cedex, France

    Michel Daydé

  • Lawrence Berkeley National Laboratory, Berkeley, USA

    Osni Marques

  • Information Technology Center, The University of Tokyo, Tokyo, Japan

    Kengo Nakajima

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