High-Level Parallel Programming Models and Supportive Environments

6th International Workshop, HIPS 2001 San Francisco, CA, USA, April 23, 2001 Proceedings

  • Frank Mueller
Conference proceedings

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2026)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Siegfried Benkner, Thomas Brandes
    Pages 1-15
  3. Manuel Díaz, Bartolomé Rubio, Enrique Soler, José M. Troya
    Pages 16-26
  4. D. M. Pressel, Juris Sahu, K. R. Heavey
    Pages 28-44
  5. Janes Gerlach, Peter Gottschling, Uwe Der
    Pages 45-54
  6. Rémi Coudarcher, Jocelyn Sérot, Jean-Pierre Dérutin
    Pages 71-84
  7. James C. Pang, Gholamali C. Shoja, Eric Gerhard Manning
    Pages 86-94
  8. Dorit Naishlos, Joseph Nuzman, Chau-Wen Tseng, Uzi Vishkin
    Pages 95-108
  9. Simon Huband, Chris McDonald
    Pages 109-121
  10. Jan B. Pedersen, Alan Wagner
    Pages 122-137
  11. Back Matter
    Pages 139-139

About these proceedings

Introduction

On the 23rd of April, 2001, the 6th Workshop on High-Level Parallel P- gramming Models and Supportive Environments (LCTES’98) was held in San Francisco. HIPShas been held over the past six years in conjunction with IPDPS, the Internation Parallel and Distributed Processing Symposium. The HIPSworkshop focuses on high-level programming of networks of wo- stations, computing clusters and of massively-parallel machines. Its goal is to bring together researchers working in the areas of applications, language design, compilers, system architecture and programming tools to discuss new devel- ments in programming such systems. In recent years, several standards have emerged with an increasing demand of support for parallel and distributed processing. On one end, message-passing frameworks, such as PVM, MPI and VIA, provide support for basic commu- cation. On the other hand, distributed object standards, such as CORBA and DCOM, provide support for handling remote objects in a client-server fashion but also ensure certain guarantees for the quality of services. The key issues for the success of programming parallel and distributed en- ronments are high-level programming concepts and e?ciency. In addition, other quality categories have to be taken into account, such as scalability, security, bandwidth guarantees and fault tolerance, just to name a few. Today’s challenge is to provide high-level programming concepts without s- ri?cing e?ciency. This is only possible by carefully designing for those concepts and by providing supportive programming environments that facilitate program development and tuning.

Keywords

CORBA Cluster Cluster Computing Distributed Systems High-Level Parallel Programming Language Design MPI Massively Parallel Architectures Network Programming PVM Parallel Programming Environments compiler parallel programming programming

Editors and affiliations

  • Frank Mueller
    • 1
  1. 1.Center for Applied Scientific ComputingLawrence Livermore National LaboratoryLivermoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45401-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-41944-0
  • Online ISBN 978-3-540-45401-4
  • Series Print ISSN 0302-9743
  • About this book