Description: WebGPU is a web standard designed to provide access to the capabilities of the GPU (Graphics Processing Unit) for rendering and computation in web applications. This standard allows developers to harness the parallel processing power of GPUs, facilitating the creation of complex 3D graphics and computationally intensive calculations directly in the browser. WebGPU is based on low-level concepts and technologies such as Vulkan, Metal, and Direct3D 12, enabling it to deliver superior performance compared to its predecessor, WebGL. Unlike WebGL, which primarily focuses on graphics rendering, WebGPU expands its capabilities to include general computation, making it a versatile tool for applications requiring high graphical and computational performance. Its modern design and focus on efficiency allow developers to create richer and more dynamic web experiences, opening new possibilities for games, simulations, and data visualizations. WebGPU also aims to be more accessible and user-friendly, providing an API that aligns with current software development practices, facilitating adoption by the web developer community.
History: WebGPU was developed as a response to the limitations of WebGL and the need for more direct and efficient access to GPU capabilities on the web. Its development began in 2017, driven by collaboration among various working groups, including those from W3C and the GPU working group of the developer community. Over the years, multiple revisions and improvements have been made to the specification, aiming to align with low-level graphics technologies such as Vulkan. In 2021, WebGPU began to be implemented in browsers, marking an important milestone in its evolution.
Uses: WebGPU is primarily used in web applications that require high graphical and computational performance. This includes online games, interactive simulations, complex data visualizations, and augmented and virtual reality applications. Its ability to perform parallel computations makes it ideal for tasks requiring intensive processing, such as machine learning and artificial intelligence in the browser.
Examples: An example of WebGPU usage is in the development of video games running in the browser, where high-quality 3D graphics and complex visual effects can be created. Another example is in data visualization applications, where WebGPU allows for the efficient processing and rendering of large datasets in real-time. It has also been used in research projects requiring advanced physical simulations and 3D modeling.
