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ESPeciaL: an embedded systems programming language

Authors: Christopher Métrailler; Pierre-André Mudry;

ESPeciaL: an embedded systems programming language

Abstract

The advent of off-the-shelf programmable embedded systems such as Arduino enables people with little programming skills to interact with the real-world using sensors and actuators. In this paper, we propose a novel approach aimed at simplifying the programming of embedded systems based on the dataflow paradigm. Named ESPeciaL, this programming framework removes the need of low-level programming in C/C++, as the application is written by connecting blocks that produce and consume data. Thus, an embedded application can be described in terms of ready-to-use blocks that correspond to the various micro-controller peripherals and to program function (multiplexers, logic gates, etc.). The user application itself is written as an embedded Scala DSL. From that code, the ESPeciaL compiler then generates the corresponding C++ code which can be tailored - using different back-ends - to match different embedded systems or a QEMU-based simulation environment. To demonstrate the validity of the approach, we present a typical embedded systems application implemented using ESPeciaL

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average