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The ACM Web Conference 2024Research Track: Systems and Infrastructure for Web, Mobile, and WoT

FusionRender: Harnessing WebGPU's Power for Enhanced Graphics Performance on Web Browsers

Weichen Bi, Yun Ma 0002, Yudong Han 0001, Yifan Chen 0005, Deyu Tian, Jiaqi Du

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3589334.3645395 ↗

摘要

Graphics rendering on web browsers serves as the foundation for numerous web applications. Compared with the widely employed WebGL, the next-generation web graphics API, WebGPU, demonstrates an enhanced capacity to adapt to modern GPU features, boasting more significant potential. However, our experiment shows that the performance of current graphics rendering frameworks based on WebGPU lags behind those built on WebGL. Such discrepancy primarily arises from an incomplete alignment with WebGPU's distinctive features. The individual rendering of each graphic leads to redundant communication between the CPU and GPU. To enhance the graphics performance on the web, we introduce the FusionRender to harness the power of WebGPU. To mitigate redundant communication, FusionRender assigns a unique signature to each object and employs these signatures for grouping, enabling the consolidation of graphics rendering whenever possible. In simulated experiments involving the rendering of multiple objects, FusionRender improves the rendering performance by 29.3%-122.1% compared with the existing optimal baseline. In real cases with more complex features, performance improvement ranges from 9.4% to 39.7%. Additionally, FusionRender exhibits robust performance enhancement across various devices and browsers.