Organizing the Aggregate: Languages for Spatial Computing
Jacob Beal, Stefan Dulman, Kyle Usbeck, Mirko Viroli, and Nikolaus, Correll

TL;DR
This paper reviews and analyzes various domain-specific languages for spatial computing, aiming to unify understanding and guide future research in systems connecting physical locality with device connectivity.
Contribution
It develops a framework for analyzing spatial computing DSLs, surveys current languages, and proposes a roadmap for future development in the field.
Findings
A comprehensive framework for comparing spatial computing DSLs
Survey of current spatial computing languages across domains
Roadmap for future research in spatial computing DSLs
Abstract
As the number of computing devices embedded into engineered systems continues to rise, there is a widening gap between the needs of the user to control aggregates of devices and the complex technology of individual devices. Spatial computing attempts to bridge this gap for systems with local communication by exploiting the connection between physical locality and device connectivity. A large number of spatial computing domain specific languages (DSLs) have emerged across diverse domains, from biology and reconfigurable computing, to sensor networks and agent-based systems. In this chapter, we develop a framework for analyzing and comparing spatial computing DSLs, survey the current state of the art, and provide a roadmap for future spatial computing DSL investigation.
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Scientific Computing and Data Management · Distributed Control Multi-Agent Systems
