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Wednesday, November 18 • 11:00am - 11:45am
S7: Real-Time Dataflow for Sensors in Embedded Systems

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A dataflow software architecture models computation as a directed graph, where nodes are pure functions, and the edges carry data. Besides recent uses in deep learning, big data, and reactive programming, dataflow is a great fit for Digital Signal Processing (DSP). This session describes a lightweight dataflow C++ library for these requirements: small (under 50 Kbytes code), portable with few dependencies, open source, and predictable real-time performance on embedded systems, processing sensor and audio data.

Speakers
avatar for Glenn Kasten

Glenn Kasten

Software Engineer, Google
Glenn Kasten is a software engineer in the Android media team, with a focus on low-­level audio and performance. His background includes real-­time operating systems and embedded applications, and he enjoys playing piano.


Wednesday November 18, 2020 11:00am - 11:45am PST
LL20A