An Efficient Scalable Work-Stealing Runtime for Macro Data Flow Processing Using S-Net
| Authors |
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| Publication date | 2014 |
| Journal | International Journal of Parallel Programming |
| Volume | Issue number | 42 | 6 |
| Pages (from-to) | 988-1011 |
| Number of pages | 24 |
| Organisations |
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| 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.
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| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1007/s10766-013-0271-8 |
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