Parallel Gesture Recognition with Soft Real-Time Guarantees

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Applying imperative programming techniques to process event streams, like those generated by multi-touch devices and 3D cameras, has significant engineering drawbacks. Declarative approaches solve these problems but have not been able to scale on multicore systems while providing guaranteed response times.

We propose PARTE, a parallel scalable complex event processing engine which allows a declarative definition of event patterns and provides soft real-time guarantees for their recognition. It extends the state-saving Rete algorithm and maps the event matching onto a graph of actor nodes. Using a tiered event matching model, PARTE provides upper bounds on the detection latency. Based on the domain-specific constraints, PARTE's design relies on a combination of (1) lock-free data structures; (2) safe memory management techniques; and (3) message passing between Rete nodes. In our benchmarks, we measured scalability up to 8 cores, outperforming highly optimized sequential implementations.

Soft Real-Time Parallelisation of Rete Using Non-Blocking Actors The Multi-Core Age! Soft Real-Time Deadlines PARTE: Summary

We published our results in a workshop paper: Academia Paper PDF BibTex

and in an extended version in Science of Computer Programming: Academia PDF BibTex

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