arrow
Return

Automatic Shader Simplification Using Surface Signal Approximation

delete2014-11-19
delete11
PRE
AI
R
Rui Wang *
X
Xianjin Yang
Y
Yazhen Yuan
陈
陈为 (Wei Chen)
K
Kavita Bala
Hujun Bao cover
Hujun Bao (Hujun Bao)
DOI:10.1145/2661229.2661276delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, we present a new automatic shader simplification method using surface signal approximation. We regard the entire multi-stage rendering pipeline as a process that generates signals on surfaces, and we formulate the simplification of the fragment shader as a global simplification problem across multi-shader stages. Three new shader simplification rules are proposed to solve the problem. First, the code transformation rule transforms fragment shader code to other shader stages in order to redistribute computations on pixels up to the level of geometry primitives. Second, the surface-wise approximation rule uses high-order polynomial basis functions on surfaces to approximate pixel-wise computations in the fragment shader. These approximations are pre-cached and simplify computations at runtime. Third, the surface subdivision rule tessellates surfaces into smaller patches. It combines with the previous two rules to approximate pixel-wise signals at different levels of tessellations with different computation times and visual errors. To evaluate simplified shaders using these simplification rules, we introduce a new cost model that includes the visual quality, rendering time and memory consumption. With these simplification rules and the cost model, we present an integrated shader simplification algorithm that is capable of automatically generating variants of simplified shaders and selecting a sequence of preferable shaders. Results show that the sequence of selected simplified shaders balance performance, accuracy and memory consumption well.
Keywords:
GPU shader
real-time rendering
shader simplification
surface signal approximation
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

ACM Transactions on Graphics cover
ACM Transactions on Graphics
IF:
9.5
Papers:
4.8K
Citations:
3.6W

Organization

C
Cornell University
Scholars:
6.3W
Papers: 5.4W
Citations: 10.9W
Z
zhejiang university
Scholars:
17.7W
Papers: 12.1W
Citations: 152
Cited Papers

Cited Papers

Participatory Variety Selection: A Tool to Understand Farmers′ Potato Variety Selection Criteria
err2017-09-02
err0
errOAAI
errSemagn Asredie Kolech; Walter De Jong; Keith Perry; Donald Halseth; Fentahun Mengistu
errShare
errSave
errShare
errSave
Late Bronze Age climate change and the destruction of the Mycenaean Palace of Nestor at Pylos
err2017-12-27
err0
errOAAI
errMartin Finné; Karin Holmgren; Chuan-Chou Shen; Hsun-Ming Hu; Meighan Boyd; Sharon Stocker
errShare
errSave
The physics of protein folding
err2015-09-21
err0
PREAI
errPeter G Wolynes; William A Eaton
errShare
errSave
errShare
errSave
A meshless hierarchical representation for light transport
err2008-08-01
err26
errOAAI
errLehtinen, Jaakko; Zwicker, Matthias; Turquin, Emmanuel; Kontkanen, Janne; Durand, Fredo; Sillion, Francois X.; Aila, Timo
errShare
errSave
Quality of life in adult patients with epilepsy and their family members
err2013-03-01
err0
errOAAI
errRomy Mahrer-Imhof; Sabina Jaggi; Armanda Bonomo; Hannele Hediger; Priska Eggenschwiler; Günther Krämer; Erich Oberholzer
errShare
errSave
researcher View more