Bibliographic Details
| Title: |
An Efficient Scalable Runtime System for Macro Data Flow Processing Using S- Net. |
| Authors: |
Gijsbers, Bert1 b.gijsbers@uva.nl, Grelck, Clemens1 c.grelck@uva.nl |
| Source: |
International Journal of Parallel Programming. Dec2014, Vol. 42 Issue 6, p988-1011. 24p. |
| Subjects: |
Data flow computing, Declarative programming languages, Parallel computers, Computer networks, Scalability, Multicore processors, Software engineering |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
