A task-uncoordinated distributed dataflow model for scalable high performance parallel program execution.
Gespeichert in:
| Titel: | A task-uncoordinated distributed dataflow model for scalable high performance parallel program execution. |
|---|---|
| Autoren: | Wilson, Lucas A.1,2 lucaswilson@acm.org, von Ronne, Jeffery1 vonronne@acm.org |
| Quelle: | Parallel Computing. Jan2016, Vol. 51, p79-87. 9p. |
| Schlagwörter: | *PARALLEL programming, *MATHEMATICAL optimization, *PROGRAM transformation, *COMPUTER simulation, *DATA flow computing |
| Abstract: | We propose a distributed dataflow execution model which utilizes a distributed dictionary for data memoization, allowing each parallel task to schedule instructions without direct inter-task coordination. We provide a description of the proposed model, including autonomous dataflow task selection. We also describe a set of optimization strategies which improve overall throughput of stencil programs executed using this model on modern multi-core and vectorized architectures. [ABSTRACT FROM AUTHOR] |
| Datenbank: | Academic Search Index |
Full Text Finder 
Nájsť tento článok vo Web of Science Schreiben Sie den ersten Kommentar!