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Jeong, Won-Ki
High-performance Visual Computing Lab
Research Interests
  • Visualization, image processing, machine learning, parallel computing

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Vivaldi: A domain-specific language for volume processing and visualization on distributed heterogeneous systems

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Title
Vivaldi: A domain-specific language for volume processing and visualization on distributed heterogeneous systems
Author
Choi, HyungsukChoi, WoohyukQuan, Tran MinhHildebrand, David G. C.Pfister, HanspeterJeong, Won-Ki
Issue Date
2014-12
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.20, no.12, pp.2407 - 2416
Abstract
(Figure Presented) 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 high-throughput image processing applications. We demonstrate the performance and usability of Vivaldi on several examples ranging from volume rendering to image segmentation.
URI
https://scholarworks.unist.ac.kr/handle/201301/9306
URL
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84909998985
DOI
10.1109/TVCG.2014.2346322
ISSN
1077-2626
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