Applied Parallel Computing. State of the Art in Scientific Computing

7th International Workshop, PARA 2004, Lyngby, Denmark, June 20-23, 2004. Revised Selected Papers

  • Jack Dongarra
  • Kaj Madsen
  • Jerzy Waśniewski
Conference proceedings PARA 2004

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3732)

Table of contents

  1. Front Matter
  2. Invited Talks

  3. Minisymposia

    1. Interval Methods

      1. Luke E. K. Achenie, Vladik Kreinovich, Kaj Madsen
        Pages 53-56
      2. Luke E. K. Achenie, Gennadi M. Ostrovsky
        Pages 57-64
      3. Marilton S. de Aguiar, Graçaliz P. Dimuro, Fábia A. Costa, Rafael K. S. Silva, César A. F. De Rose, Antônio C. R. Costa et al.
        Pages 83-92
      4. Nicolas Delanoue, Luc Jaulin, Bertrand Cottenceau
        Pages 93-101
      5. Olga Kosheleva, Sergio Cabrera, Brian Usevitch, Edward Vidal Jr.
        Pages 142-150
      6. José A. Martínez, Leocadio G. Casado, José A. Alvarez, Inmaculada García
        Pages 161-168
      7. Renata H. S. Reiser, Antônio C. R. Costa, Graçaliz P. Dimuro
        Pages 179-188
      8. Gang Xiang, Scott A. Starks, Vladik Kreinovich, Luc Longpré
        Pages 189-196
      9. Antanas Žilinskas, Julius Žilinskas
        Pages 197-205
    2. Trends in Large Scale Computing

      1. Susanne M. Balle, John Bishop, David LaFrance-Linden, Howard Rifkin
        Pages 207-216
      2. Alan Sussman, Henrique Andrade
        Pages 217-224
    3. High Performance Linear Algebra Algoritms

      1. Fred G. Gustavson, Jerzy Waśniewski
        Pages 225-227
      2. David J. Barnes, Tim R. Hopkins
        Pages 228-236
      3. N. Peter Drakenberg
        Pages 237-246
      4. John A. Gunnels, Fred G. Gustavson
        Pages 247-255
      5. John A. Gunnels, Fred G. Gustavson, Greg M. Henry, Robert A. van de Geijn
        Pages 256-265
    4. Substructuring, Dimension Reduction and Applications

      1. José M. Badía, Peter Benner, Rafael Mayo, Enrique S. Quintana-Ortí
        Pages 267-275
      2. Zhaojun Bai, Ben-Shan Liao
        Pages 276-285
      3. David S. Bindel, Zhaojun Bai, James W. Demmel
        Pages 286-295
      4. Raimondas Čiegis, Milda Baravykaitė, Rimantas Belevičius
        Pages 305-312
      5. Ren-Cang Li, Zhaojun Bai
        Pages 323-332
      6. Evgenii B. Rudnyi, Jan G. Korvink
        Pages 349-356
      7. Chao Yang, Weiguo Gao, Zhaojun Bai, Xiaoye S. Li, Lie-Quan Lee, Parry Husbands et al.
        Pages 364-373
    5. Parallel Processing in Science and Engineering

      1. Paolo Bientinesi, John A. Gunnels, Fred G. Gustavson, Greg M. Henry, Margaret Myers, Enrique S. Quintana-Ortí et al.
        Pages 376-384
      2. Paolo Bientinesi, Sergey Kolos, Robert A. van de Geijn
        Pages 385-394
      3. Shirish Chinchalkar, Thomas F. Coleman, Peter Mansfield
        Pages 395-403
      4. Thierry Joffrain, Enrique S. Quintana-Ortí, Robert A. van de Geijn
        Pages 413-422

About these proceedings


Introduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA’94, PARA’95 and PARA’96 in Lyngby, Denmark, PARA’98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title “State of the Art in Scienti?c Computing”, was held in Lyngby, Denmark, June 20–23, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was ´niewski from the Technical University of Denmark. The emphasis here was shifted to high-performance computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly dif?cult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer’s memory hi- archy can degrade performance badly. A main concern of HPC is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for HPC.


Hardware Processing algorithm algorithms distributed computing linear algebra scientific computing security statistics

Editors and affiliations

  • Jack Dongarra
    • 1
  • Kaj Madsen
    • 2
  • Jerzy Waśniewski
    • 3
  1. 1.Computer Science DepartmentUniversity of TennesseeKnoxvilleUSA
  2. 2.Department of Informatics and Mathematical ModellingTechnical University of DenmarkLyngbyDenmark
  3. 3.Informatics & Mathematical ModelingTechnical University of DenmarkLyngbyDenmark

Bibliographic information