A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications

Biedert, Tim; Werner, Kilian; Hentschel, Bernd; Garth, Christoph

A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications

Files

063-071.pdf (1004.81 KB)

Date

2017

Authors

Biedert, Tim
Werner, Kilian
Hentschel, Bernd
Garth, Christoph

Publisher

The Eurographics Association

Abstract

An increasingly heterogeneous system landscape in modern high performance computing requires the efficient and portable adaption of performant algorithms to diverse architectures. However, classic hybrid shared-memory/distributed systems are designed and tuned towards specific platforms, thus impeding development, usage and optimization of these approaches with respect to portability. We demonstrate a flexible parallel rendering framework built upon a task-based dynamic runtime environment enabling adaptable performance-oriented deployment on various platform configurations. Our task definition represents an effective and easy-to-control trade-off between sort-first and sort-last image compositing, enabling good scalability in combination with inherent dynamic load balancing. We conduct comprehensive benchmarks to verify the characteristics and potential of our novel task-based system design for high-performance visualization.

        @inproceedings{10.2312:pgv.20171094
,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization
},
editor = {Alexandru Telea and Janine Bennett
},
title = {{A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications
}},
author = {Biedert, Tim and 
Werner, Kilian and 
Hentschel, Bernd and 
Garth, Christoph
},
year = {2017
},
publisher = {The Eurographics Association
},
ISSN = {1727-348X
},
ISBN = {978-3-03868-034-5
},
DOI = {10.2312/pgv.20171094
}
}