Ray Tracing Structured AMR Data Using ExaBricks - Kölner UniversitätsPublikationsServer

Wald, Ingo, Zellmann, Stefan, Usher, Will, Morrical, Nate, Lang, Ulrich and Pascucci, Valerio (2021). Ray Tracing Structured AMR Data Using ExaBricks. IEEE Trans. Vis. Comput. Graph., 27 (2). S. 625 - 635. LOS ALAMITOS: IEEE COMPUTER SOC. ISSN 1941-0506

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DOI:10.1109/TVCG.2020.3030470

Abstract

Structured Adaptive Mesh Refinement (Structured AMR) enables simulations to adapt the domain resolution to save computation and storage, and has become one of the dominant data representations used by scientific simulations; however, efficiently rendering such data remains a challenge. We present an efficient approach for volume- and iso-surface ray tracing of Structured AMR data on GPU-equipped workstations, using a combination of two different data structures. Together, these data structures allow a ray tracing based renderer to quickly determine which segments along the ray need to be integrated and at what frequency, while also providing quick access to all data values required for a smooth sample reconstruction kernel. Our method makes use of the RTX ray tracing hardware for surface rendering, ray marching, space skipping, and adaptive sampling; and allows for interactive changes to the transfer function and implicit iso-surfacing thresholds. We demonstrate that our method achieves high performance with little memory overhead, enabling interactive high quality rendering of complex AMR data sets on individual GPU workstations.

Item Type:

Journal Article

Creators:

Creators	Email	ORCID	ORCID Put Code
Wald, Ingo	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Zellmann, Stefan	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Usher, Will	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Morrical, Nate	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Lang, Ulrich	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Pascucci, Valerio	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED