Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
A new model for integrated nested task and data parallel programming
PPOPP '97 Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
A Framework for Exploiting Task and Data Parallelism on Distributed Memory Multicomputers
IEEE Transactions on Parallel and Distributed Systems
Double standards: bringing task parallelism to HPF via the message passing interface
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
Task Parallelism in a High Performance Fortran Framework
IEEE Parallel & Distributed Technology: Systems & Technology
FRONTIERS '95 Proceedings of the Fifth Symposium on the Frontiers of Massively Parallel Computation (Frontiers'95)
Opus: A Coordination Language for Multidisciplinary Applications
Scientific Programming
Program Development Tools for Clusters of Shared Memory Multiprocessors
The Journal of Supercomputing
Exploiting Data Locality on Scalable Shared Memory Machines with Data Parallel Programs
Euro-Par '00 Proceedings from the 6th International Euro-Par Conference on Parallel Processing
Pipeline Algorithms on MPI: Optimal Mapping of the Path Planing Problem
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Towards the automatic optimal mapping of pipeline algorithms
Parallel Computing
Task and data parallelism in P3L
Patterns and skeletons for parallel and distributed computing
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As task parallelism has been proven to be useful for applications like real-time signal processing, branch and bound problems, and multidisciplinary applications, the new standard HPF 2.0 of the data parallel language High Performance Fortran (HPF) provides approved extensions for task parallelism that allow nested task and data parallelism. Unfortunately, these extensions allow the spawning of tasks but do not allow interaction like synchronization and communication between tasks during their execution and therefore might be too restrictive for certain application classes. E.g., they are not suitable for expressing the complex interactions among asynchronous tasks as required by multidisciplinary applications. They do not support any parallel programming style that is based on non-deterministic communication patterns.This paper discusses the extension of the task model provided by HPF 2.0 with a task library that allows interaction between tasks during their lifetime, mainly by message passing with an user-friendly HPF binding. The same library with the same interface can also be used for single processors in the local HPF model. The task model of HPF 2.0 and the task library have been implemented in the ADAPTOR HPF compilation system that is available in the public domain. Some experimental results show the easy use of the concepts and the efficiency of the chosen approach.