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Titel: RaTrace: simple and efficient abstractions for BVH ray traversal algorithms
VerfasserIn: Pérard-Gayot, Arsène
Weier, Martin
Membarth, Richard
Slusallek, Philipp
Leißa, Roland
Hack, Sebastian
HerausgeberIn: Flatt, Matthew
Erdweg, Sebastian
Sprache: Englisch
Titel: GPCE’17 : Proceedings of the 16th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences
Seiten: 157-168
Verlag/Plattform: Association for Computing Machinery
Erscheinungsjahr: 2017
Freie Schlagwörter: Abstraction mechanism
Algorithmic aspects
Domain specific languages
Functional languages
Hardware platform
Intersection algorithms
State of the art
Traversal algorithms
DDC-Sachgruppe: 004 Informatik
Dokumenttyp: Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag)
Abstract: In order to achieve the highest possible performance, the ray traversal and intersection routines at the core of every high-performance ray tracer are usually hand-coded, heavily optimized, and implemented separately for each hardware platform—even though they share most of their algorithmic core. The results are implementations that heavily mix algorithmic aspects with hardware and implementation details, making the code non-portable and difficult to change and maintain. In this paper, we present a new approach that offers the ability to define in a functional language a set of conceptual, high-level language abstractions that are optimized away by a special compiler in order to maximize performance. Using this abstraction mechanism we separate a generic ray traversal and intersection algorithm from its low-level aspects that are specific to the target hardware. We demonstrate that our code is not only significantly more flexible, simpler to write, and more concise but also that the compiled results perform as well as state-of-the-art implementations on any of the tested CPU and GPU platforms.
DOI der Erstveröffentlichung: 10.1145/3136040.3136044
URL der Erstveröffentlichung: https://dl.acm.org/doi/10.1145/3136040.3136044
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-387601
hdl:20.500.11880/34923
http://dx.doi.org/10.22028/D291-38760
ISBN: 978-1-450-35524-7
Datum des Eintrags: 19-Jan-2023
Fakultät: MI - Fakultät für Mathematik und Informatik
Fachrichtung: MI - Informatik
Professur: MI - Prof. Dr. Sebastian Hack
MI - Prof. Dr. Philipp Slusallek
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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