Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Journal of Computational and Applied Mathematics
A Transformation Approach to Derive Efficient Parallel Implementations
IEEE Transactions on Software Engineering - Special issue on architecture-independent languages and software tools parallel processing
PARADIGM (version 2.0): A New HPF Compilation System
IPPS '99/SPDP '99 Proceedings of the 13th International Symposium on Parallel Processing and the 10th Symposium on Parallel and Distributed Processing
CPR: Mixed Task and Data Parallel Scheduling for Distributed Systems
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
The programming model of ASSIST, an environment for parallel and distributed portable applications
Parallel Computing - Special issue: Advanced environments for parallel and distributed computing
Task and data parallelism in P3L
Patterns and skeletons for parallel and distributed computing
Simultaneous exploitation of task and data parallelism in regular scientific applications
Simultaneous exploitation of task and data parallelism in regular scientific applications
Tlib-a library to support programming with hierarchical multi-processor tasks
Journal of Parallel and Distributed Computing
An Integrated Approach for Processor Allocation and Scheduling of Mixed-Parallel Applications
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Parallel Computing - Algorithmic skeletons
| Hi-index | 0.01 |
Components can be used to implement coarse-grained parallelism on large parallel systems. A parallel component is a piece of parallel code that can be executed in parallel on a set of processors or cores and has a predefined interface to be coupled with other components. Depending on the internal programming and memory model, a component may consist of computation and communication phases or, alternatively, of shared memory code. The interfaces are used for data exchange. More complex parallel programs are built up using parallel components and a flexible component interaction structure. In this article, the programming with parallel components for designing efficient programs for parallel execution platforms with a distributed address space is discussed and a mechanism for the specification of parallel components with communication interfaces is presented. The execution of these components can be adapted to the architectural characteristics of multicore clusters with their specific communication structure. The approach is applied to application programs for the solution of large systems of ordinary differential equations.