A Task-Based Parallel Rendering Component For Large-Scale Visualization Applications
![pubimg](http://vr.rwth-aachen.de/media/paper_images/Biedert.png)
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 {Biedert2017,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
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},
pages = {63--71},
ISSN = {1727-348X},
ISBN = {978-3-03868-034-5},
DOI = {10.2312/pgv.20171094}
}