Analytic Rendering and Hardware-Accelerated Simulation for Scientific Applications INTRODUCTION

被引：0

作者：

Navratil, Paul ^{[1
]}

Gribble, Christiaan ^{[2
,3
]}

Grosset, Pascal ^{[4
]}

Stone, John E. ^{[5
]}

机构：

[1] Univ Texas Austin, Texas Adv Comp Ctr, Austin, TX 78758 USA

[2] SURVICE Engn, Pittsburgh, PA 21017 USA

[3] SURVICE Engn Co, Appl Technol Operat, Belcamp, MD 21017 USA

[4] Los Alamos Natl Lab, Data Sci Scale Team, Los Alamos, NM 87545 USA

[5] Univ Illinois, Urbana, IL 61820 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2022年 / 24卷 / 02期

关键词：

Three dimensional computer graphics;

D O I：

10.1109/MCSE.2022.3163480

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Advances in entertainment-targeted rendering technology have been leveraged for scientific analysis. Recent progress in both hardware and software capabilities have spurred development in analytic rendering: rendering capabilities optimized for analysis, particularly 3-D spatial analysis. These efforts also leverage hardware-accelerated ray tracing for high-fidelity rendering, which unlocks the potential to use such acceleration methods directly in ray-based simulations such as radiative transfer. This special issue presents the new ANARI API standard for analytic rendering and examples of analytic rendering and hardware-accelerated simulation where such APIs could be used.

引用

页码：4 / 6

页数：3

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