Advertisement

High Performance Computing for Computational Science – VECPAR 2016

12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers

  • Inês Dutra
  • Rui Camacho
  • Jorge Barbosa
  • Osni Marques
Conference proceedings VECPAR 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10150)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10150)

Table of contents

  1. Front Matter
    Pages I-XIII
    PDF

  2. Invited Talks

    1. Front Matter
      Pages 1-1
      PDF
    2. Scalable Algorithms for Bayesian Inference of Large-Scale Models from Large-Scale Data
      Omar Ghattas, Tobin Isaac, Noémi Petra, Georg Stadler
      Pages 3-6
    3. Analysis of High Performance Applications Using Workload Requirements
      Mariza Ferro, Giacomo Mc Evoy, Bruno Schulze
      Pages 7-10
    4. Hard Faults and Soft-Errors: Possible Numerical Remedies in Linear Algebra Solvers
      E. Agullo, S. Cools, L. Giraud, A. Moreau, P. Salas, W. Vanroose et al.
      Pages 11-18

  3. Applications

    1. Front Matter
      Pages 19-19
      PDF
    2. SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision
      Toshiaki Hishinuma, Hidehiko Hasegawa, Teruo Tanaka
      Pages 21-34
    3. Accelerating the Conjugate Gradient Algorithm with GPUs in CFD Simulations
      Hartwig Anzt, Marc Baboulin, Jack Dongarra, Yvan Fournier, Frank Hulsemann, Amal Khabou et al.
      Pages 35-43
    4. Parallelisation of MACOPA, A Multi-physics Asynchronous Solver
      Ronan Guivarch, Guillaume Joslin, Ronan Perrussel, Daniel Ruiz, Jean Tshimanga, Thomas Unfer
      Pages 44-51
    5. Performance Analysis of SA-AMG Method by Setting Extracted Near-Kernel Vectors
      Naoya Nomura, Akihiro Fujii, Teruo Tanaka, Kengo Nakajima, Osni Marques
      Pages 52-63
    6. Computing the Bidiagonal SVD Through an Associated Tridiagonal Eigenproblem
      Osni Marques, Paulo B. Vasconcelos
      Pages 64-74
    7. HPC on the Intel Xeon Phi: Homomorphic Word Searching
      Paulo Martins, Leonel Sousa
      Pages 75-88
    8. A Data Parallel Algorithm for Seismic Raytracing
      Allen D. Malony, Stephanie McCumsey, Joseph Byrnes, Craig Rasmusen, Soren Rasmusen, Erik Keever et al.
      Pages 89-98

  4. Performance Modeling and Analysis

    1. Front Matter
      Pages 99-99
      PDF
    2. A Cross-Core Performance Model for Heterogeneous Many-Core Architectures
      Rui Pinheiro, Nuno Roma, Pedro Tomás
      Pages 101-111
    3. On the Acceleration of Graph500: Characterizing PCIe Overheads with Multi-GPUs
      Mayank Daga
      Pages 112-120
    4. Evaluation of Runtime Cut-off Approaches for Parallel Programs
      Alcides Fonseca, Bruno Cabral
      Pages 121-134
    5. Implementation and Evaluation of NAS Parallel CG Benchmark on GPU Cluster with Proprietary Interconnect TCA
      Kazuya Matsumoto, Norihisa Fujita, Toshihiro Hanawa, Taisuke Boku
      Pages 135-145

  5. Low Level Support

    1. Front Matter
      Pages 147-147
      PDF
    2. The Design of Advanced Communication to Reduce Memory Usage for Exa-scale Systems
      Shinji Sumimoto, Yuichiro Ajima, Kazushige Saga, Takafumi Nose, Naoyuki Shida, Takeshi Nanri
      Pages 149-161
    3. A Vectorized, Cache Efficient LLL Implementation
      Artur Mariano, Fábio Correia, Christian Bischof
      Pages 162-173
    4. Versat, a Minimal Coarse-Grain Reconfigurable Array
      João D. Lopes, José T. de Sousa
      Pages 174-187

  6. Environments/Libraries to Support Parallelization

    1. Front Matter
      Pages 189-189
      PDF
    2. An Application-Level Solution for the Dynamic Reconfiguration of MPI Applications
      Iván Cores, Patricia González, Emmanuel Jeannot, María J. Martín, Gabriel Rodríguez
      Pages 191-205
    3. Scientific Workflow Scheduling with Provenance Support in Multisite Cloud
      Ji Liu, Esther Pacitti, Patrick Valduriez, Marta Mattoso
      Pages 206-219
    4. Aspect Oriented Parallel Framework for Java
      Bruno Medeiros, João L. Sobral
      Pages 220-233
    5. Gaspar Data-Centric Framework
      Rui Silva, J. L. Sobral
      Pages 234-247
    6. A Parallel and Resilient Frontend for High Performance Validation Suites
      Julien Adam, Marc Pérache
      Pages 248-255
    7. A Heterogeneous Runtime Environment for Scientific Desktop Computing
      Nuno Oliveira, Pedro D. Medeiros
      Pages 256-269
  7. Back Matter
    Pages 271-272
    PDF

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science,

VECPAR 2016, held in Porto, Portugal, in June 2016.
The 20 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on applications; performance modeling and analysis; low level support; environments/libraries to support parallelization.

Keywords

code generation computations on matrices computing methodologies data intensive computing distributed computing graphics processing unit high-performance simulations manycore architectures massively parallel simulations mathematical analysis modeling and simulations multicore architectures multiphysics problems multiscale problems numerical algorithms numerical linear algebra kernels parallel algorithms parallel computing performance evaluation software performance

Editors and affiliations

  • Inês Dutra
    • 1
  • Rui Camacho
    • 2
  • Jorge Barbosa
    • 3
  • Osni Marques
    • 4
  1. 1.University of PortoPortoPortugal
  2. 2.University of PortoPortoPortugal
  3. 3.University of PortoPortoPortugal
  4. 4.Lawrence Berkeley National LaboratoryBerkeleyUSA

Bibliographic information

  • Book Title High Performance Computing for Computational Science – VECPAR 2016
  • Book Subtitle 12th International Conference, Porto, Portugal, June 28-30, 2016, Revised Selected Papers
  • Editors Inês Dutra
    Rui Camacho
    Jorge Barbosa
    Osni Marques
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-319-61982-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-61981-1
  • Online ISBN 978-3-319-61982-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XIII, 272
  • Number of Illustrations 133 b/w illustrations, 0 illustrations in colour
  • Topics Mathematics of Computing
    Theory of Computation
    Software Engineering/Programming and Operating Systems
    Simulation and Modeling
    System Performance and Evaluation
    Arithmetic and Logic Structures
  • Buy this book on publisher's site