- Author
- Year
- 2014
- Title
- An Efficient Scalable Work-Stealing Runtime for Macro Data Flow Processing Using S-Net
- Journal
- International Journal of Parallel Programming
- Volume | Issue number
- 42 | 6
- Pages (from-to)
- 988-1011
- Number of pages
- 24
- Document type
- Article
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
S-Net is a declarative coordination language and component technology aimed at radically facilitating software engineering for modern parallel compute systems by near-complete separation of concerns between application (component) engineering and concurrency orchestration. S-Net builds on the concept of stream processing to structure networks of communicating asynchronous components implemented in a conventional (sequential) language. In this paper we present the design, implementation and evaluation of a new and innovative runtime system for S-Net streaming networks. The Front runtime system outperforms the existing implementations of S-Net by orders of magnitude for stress-test benchmarks, significantly reduces runtimes of fully-fledged parallel applications with compute-intensive components and achieves good scalability on our 48-core test system.
- URL
- go to publisher's site
- Language
- English
- Persistent Identifier
- https://hdl.handle.net/11245/1.407139
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