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Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems

Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Senior Member, Won-Ki Jeong
Ulsan National Institute of Science and Technology (UNIST)
IEEE transactions on visualization and computer graphics, 2014

@article{choi_vivaldi_2014,

   title={Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems},

   journal={To appear} in {IEEE} Transactions on Visualization and Computer Graphics},

   author={Choi, Hyungsuk and Choi, Woohyuk and Quan, Tran Minh and Hildebrand, David G. C. and Pfister, Hanspeter and Jeong, Won-Ki},

   year={2014}

}

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As the size of image data from microscopes and telescopes increases, the need for high-throughput processing and visualization of large volumetric data has become more pressing. At the same time, many-core processors and GPU accelerators are commonplace, making high-performance distributed heterogeneous computing systems affordable. However, effectively utilizing GPU clusters is difficult for novice programmers, and even experienced programmers often fail to fully leverage the computing power of new parallel architectures due to their steep learning curve and programming complexity. In this paper, we propose Vivaldi, a new domain-specific language for volume processing and visualization on distributed heterogeneous computing systems. Vivaldi’s Python-like grammar and parallel processing abstractions provide flexible programming tools for non-experts to easily write high-performance parallel computing code. Vivaldi provides commonly used functions and numerical operators for customized visualization and highthroughput image processing applications. We demonstrate the performance and usability of Vivaldi on several examples ranging from volume rendering to image segmentation.
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