High-Level Parallel Programming Models and Supportive Environments

1. Front Matter

   Pages I-IX

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2. High-Level Data Mapping for Clusters of SMPs

   • Siegfried Benkner, Thomas Brandes

   Pages 1-15

3. Integrating Task and Data Parallelism by Means of Coordination Patterns

   • Manuel Díaz, Bartolomé Rubio, Enrique Soler, José M. Troya

   Pages 16-26

4. Using Loop- Level Parallelism to Parallelize Vectorizable Programs

   • D. M. Pressel, Juris Sahu, K. R. Heavey

   Pages 28-44

5. A Generic C++ Framework for Parallel Mesh-Based Scientific Applications

   • Janes Gerlach, Peter Gottschling, Uwe Der

   Pages 45-54

6. DSM-PM2: A Portable Implementation Platform for Multithreaded DSM Consistency Protocols

   • Gabriel Antoniu, Luc Bougé

   Pages 55-70

7. Implementation of a Skeleton-Based Parallel Programming Environment Supporting Arbitrary Nesting

   • Rémi Coudarcher, Jocelyn Sérot, Jean-Pierre Dérutin

   Pages 71-84

8. Supporting Soft Real-Time Tasks and QoS on the Java Platform

   • James C. Pang, Gholamali C. Shoja, Eric Gerhard Manning

   Pages 86-94

9. Evaluating the XMT Parallel Programming Model

   • Dorit Naishlos, Joseph Nuzman, Chau-Wen Tseng, Uzi Vishkin

   Pages 95-108

10. DEPICT: A Topology-Based Debugger for MPI Programs

    • Simon Huband, Chris McDonald

    Pages 109-121

11. Correcting Errors in Message Passing Systems

    • Jan B. Pedersen, Alan Wagner

    Pages 122-137

12. Back Matter

    Pages 139-139

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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.

• 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

• Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, USA

  Frank Mueller

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