Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Operating-system support for distributed multimedia
USTC'94 Proceedings of the USENIX Summer 1994 Technical Conference on USENIX Summer 1994 Technical Conference - Volume 1
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
DataSpaces: an interaction and coordination framework for coupled simulation workflows
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
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Current scientific workflows consist of generally several components either integrated in situ or as completely independent, asynchronous components using centralized storage as an interface. Neither of these approaches are likely to scale well into Exascale. Instead, separate applications and services will be launched using online communication to link these components of the scientific discovery process. Our experiences with coupling multiple, independent MPI applications, each with separate processing phases, exposes limitations preventing use of some of the optimized mechanisms within the MPI standard. In this regard, we have identified two shortcomings with current MPI implementations. First, MPI intercommunicators offer a mechanism to communicate across application boundaries, but do not address the impact this operating mode has on possible programming models for each separate application. Second, MPI_Probe offers a way to interleave both local messaging and remote messages, but has limitations as MPI_Bcast and other collective calls are not supported by MPI_Probe thus limiting use of optimize collective calls in this operating mode.