Abstract
Modern web browsers use HTML5 to implement native web applications. However, it is hard to directly utilize the GPU for general-purpose computation in a web browser. Even though standard technologies such as WebGL and WebCL are applicable to use the GPU in a web browser, they can be applied only in the 3D graphics field or cannot due to the discontinuation of development. Recently major web browser vendors are developing a WebGPU standard for general-purpose computation. This paper presents a method to implement a Web application, including general-purpose computing, with WebGPU and SPIR-V. The computation-communication overlap technique is also applied to improve the overall performance. Experimental results showed that the web application performance using WebGPU increases as the size of encrypted data increases. It showed that WebGPU-based parallel computing could be applicable for web applications that require high-performance computation.
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