Masked Depth Culling for Graphics Hardware
Författare
Summary, in English
Hierarchical depth culling is an important optimization, which is present in all modern high performance graphics processors. We present a novel culling algorithm based on a layered depth representation, with a per-sample mask indicating which layer each sample belongs to. Our algorithm is feed forward in nature in contrast to previous work, which rely on a delayed feedback loop. It is simple to implement and has fewer constraints than competing algorithms, which makes it easier to load-balance a hardware architecture. Compared to previous work our algorithm performs very well, and it will often reach over 90% of the efficiency of an optimal culling oracle. Furthermore, we can reduce bandwidth by up to 16% by compressing the hierarchical depth buffer.
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Publikation/Tidskrift/Serie
ACM Transactions on Graphics (TOG)
Volym
34
Issue
6
Dokumenttyp
Konferensbidrag
Förlag
Association for Computing Machinery (ACM)
Ämne
- Computer and Information Science
Conference name
SIGGRAPH Asia
Conference date
2015-11-02
Conference place
Kobe, Japan
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0730-0301