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High Performance Computing for Computational Science - VECPAR 2012

10th International Conference, Kope, Japan, July 17-20, 2012, Revised Selected Papers

  • Conference proceedings
  • © 2013

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Editors:
  1. Michel Daydé

    1. INPT (ENSEEIHT) - IRIT, University of Toulouse, Toulouse, 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 7851)

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

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Conference proceedings info: VECPAR 2012.

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Table of contents (40 papers)

  1. Front Matter

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  3. GPU Computing

    1. Programming the LU Factorization for a Multicore System with Accelerators

      • Jakub Kurzak, Piotr Luszczek, Mathieu Faverge, Jack Dongarra
      Pages 28-35

    2. Efficient Two-Level Preconditioned Conjugate Gradient Method on the GPU

      • Rohit Gupta, Martin B. van Gijzen, Cornelis Kees Vuik
      Pages 36-49

    3. Parallelization of the QR Decomposition with Column Pivoting Using Column Cyclic Distribution on Multicore and GPU Processors

      • AndrĂ©s Tomás, Zhaojun Bai, Vicente Hernández
      Pages 50-58

    4. A High Performance SYMV Kernel on a Fermi-core GPU

      • Toshiyuki Imamura, Susumu Yamada, Masahiko Machida
      Pages 59-71

    5. Optimizing Memory-Bound SYMV Kernel on GPU Hardware Accelerators

      • Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief
      Pages 72-79

  4. Applications

    1. Numerical Simulation of Long-Term Fate of CO2 Stored in Deep Reservoir Rocks on Massively Parallel Vector Supercomputer

      • Hajime Yamamoto, Shinichi Nanai, Keni Zhang, Pascal Audigane, Christophe Chiaberge, Ryusei Ogata et al.
      Pages 80-92

    2. High Performance Simulation of Complicated Fluid Flow in 3D Fractured Porous Media with Permeable Material Matrix Using LBM

      • Jinfang Gao, H. L. Xing
      Pages 93-104

    3. Parallel Scalability Enhancements of Seismic Response and Evacuation Simulations of Integrated Earthquake Simulator

      • M. L. L. Wijerathne, Muneo Hori, Tsuyoshi Ichimura, Seizo Tanaka
      Pages 105-117

    4. QMC=Chem: A Quantum Monte Carlo Program for Large-Scale Simulations in Chemistry at the Petascale Level and beyond

      • Anthony Scemama, Michel Caffarel, Emmanuel Oseret, William Jalby
      Pages 118-127

  5. Finite Element Method from Various Viewpoints

    1. Optimizing Sparse Matrix Assembly in Finite Element Solvers with One-Sided Communication

      • Niclas Jansson
      Pages 128-139

    2. Implementation and Evaluation of 3D Finite Element Method Application for CUDA

      • Satoshi Ohshima, Masae Hayashi, Takahiro Katagiri, Kengo Nakajima
      Pages 140-148

    3. Evaluation of Two Parallel Finite Element Implementations of the Time-Dependent Advection Diffusion Problem: GPU versus Cluster Considering Time and Energy Consumption

      • Alberto F. De Souza, Lucas Veronese, Leonardo M. Lima, Claudine Badue, Lucia Catabriga
      Pages 149-162

  6. Cloud and Visualization

    1. A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures

      • Germán MoltĂł, Amanda Calatrava, Vicente Hernández
      Pages 163-176

    2. Interactive Volume Rendering Based on Ray-Casting for Multi-core Architectures

      • Alexandre S. Nery, Nadia Nedjah, Felipe M. G. França, Lech Jozwiak
      Pages 177-186
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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on High Performance Computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. The 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures.

Editors and Affiliations

  • INPT (ENSEEIHT) - IRIT, University of Toulouse, Toulouse, 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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