ConEE

Offenwanger, Anna; Lucet, Yves

doi:10.1145/2597959.2597972

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…Finlayson et al [10] proposed a software framework for visualization of parallel programming concepts and execution. Offenwanger and Lucet [28] designed a visualization tool (ConEE) to teach the concepts of concurrent programming while aiding program debugging with interactive feedback. Visualization has also been used to aid computer scientists' analyses and optimizations of complicated topics [19,21,31,27,32,8].…”

Section: Computing Visualization For Educationmentioning

confidence: 99%

SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation

Mooring

Blanchard

et al. 2017

Journal of Parallel and Distributed Computing

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We discuss the design, implementation, and evaluation of a 256-node Raspberry-Pi cluster with kinetic properties. Each compute node is attached to a servo mechanism such that movement results from local computation. The result is SeeMore, a kinetic parallel computer sculpture designed to enable visualization of parallel algorithms in an effort to educate broad audiences as to the beauty, complexity, and importance of parallel computation. The algorithms and interfaces were implemented by students from various related courses at Virginia Tech. We describe these designs in sufficient detail to enable others to build their own kinetic computing sculptures to augment their experiential learning programs. Our evaluations at exhibitions indicate 63% and 84% of visitors enjoyed interacting with SeeMore while 69% and 87% believed SeeMore has educational value.

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