Multi-GPU Accelerated Rendering of Massive Scenes with Out-of-Core Support for CPU Memory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10260560" target="_blank" >RIV/61989100:27740/25:10260560 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s00466-025-02712-3" target="_blank" >https://link.springer.com/article/10.1007/s00466-025-02712-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-85697-6_13" target="_blank" >10.1007/978-3-031-85697-6_13</a>

Result language
angličtina
Original language name
Multi-GPU Accelerated Rendering of Massive Scenes with Out-of-Core Support for CPU Memory
Original language description
We present a new out-of-core method for multi-GPU path tracing of large scenes based on memory access analysis. Our approach allows us to render massive scenes efficiently on a computer system with multiple GPUs and less total memory of all graphics cards than the total size of the scene. The scene is partitioned among GPU memories and the main CPU memory based on a method that operates at the memory management level. Specific parts of the scene are either replicated or distributed in the memory of GPUs, and the rest is located in the main CPU memory.
Czech name
—
Czech description
—

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PPAM 2024, PT I
ISBN
978-3-031-85696-9
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
17
Pages from-to
193-209
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
CHAM
Event location
Ostrava
Event date
Sep 8, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001529693500013

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