Efiective static bin patterns for sort-middle rendering

Bernhard Kerbl, Michael Kenzel, Dieter Schmalstieg, Markus Steinberger

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

To effectively utilize an ever increasing number of processors during parallel rendering, hardware and software designers rely on sophisticated load balancing strategies. While dynamic load balancing is a powerful solution, it requires complex work distribution and synchronization mechanisms. Graphics hardware manufacturers have opted to employ static load balancing strategies instead. Specifically, triangle data is distributed to processors based on its overlap with screenspace tiles arranged in a fixed pattern. While the current strategy of using simple patterns for a small number of fast rasterizers achieves formidable performance, it is questionable how this approach will scale as the number of processors increases further. To address this issue, we analyze real-world rendering workloads, derive requirements for effective patterns, and present ten different pattern design strategies based on these requirements. In addition to a theoretical evaluation of these design strategies, we compare the performance of select patterns in a parallel sort-middle software rendering pipeline on an extensive set of triangle data captured from eight recent video games. As a result, we are able to identify a set of patterns that scale well and exhibit significantly improved performance over naïve approaches.

Originalspracheenglisch
TitelProceedings of High Performance Graphics, HPG 2017
Herausgeber (Verlag)Association of Computing Machinery
ISBN (elektronisch)9781450351010
DOIs
PublikationsstatusVeröffentlicht - 28 Jul 2017
Veranstaltung9th Conference on High Performance Graphics: HPG 2017 - Los Angeles, USA / Vereinigte Staaten
Dauer: 28 Jul 201730 Jul 2017

Konferenz

Konferenz9th Conference on High Performance Graphics
LandUSA / Vereinigte Staaten
OrtLos Angeles
Zeitraum28/07/1730/07/17

ASJC Scopus subject areas

  • !!Computer Graphics and Computer-Aided Design
  • !!Computer Vision and Pattern Recognition
  • Human-computer interaction

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