Shaders can access physical resources either directly Shader to first do a clear across all invocations, synchronize them, and continue executing developer’s code. If the native API does not provide facilities to clear it, the WebGPU implementation transforms the compute The precise mechanism of clearing the workgroup memory can differ between platforms. This includes variables and shared workgroup memory inside shaders. In order to address that, WebGPU conceptually initializes all the resources to zero, although in practiceĪn implementation may skip this step if it sees the developer initializing the contents manually. Generally, allocating new memory may expose the leftover data of other applications running on the system.
The WebGPU implementation has to validate itīefore doing any translation (to platform-specific shaders) or transformation passes. When a shader is provided to createShaderModule(), In order to address that, the shader instruction set and its defined behaviors are Some of the shader instructions may result in undefined behavior on the GPU. WebGPU shaders are executed by the compute units inside GPU hardware. See § 21 Errors & Debugging for more information about error handling.
Of copyBufferToBuffer() results in GPUCommandEncoder generating an error, and no other operation occurring. This document specifies all the error conditions and handling semantics.įor example, specifying the same buffer with intersecting ranges in both "source" and "destination"
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In order to disallow insecure usage, the range of allowed WebGPU behaviors is defined for any input.Īn implementation has to validate all the input from the user and only reach the driver They don’t own, or force the driver to execute arbitrary code. This is called "undefined behavior", and it can be exploited by an attacker to access memory (for example, see vkCreateDescriptorSetLayout)Īnd generally don’t guarantee any outcome if the valid usage rules are not followed. Native APIs specify the valid usage for the commands CPU-based undefined behaviorĪ WebGPU implementation translates the workloads issued by the user into API commands specific The general approach is strictly validating all the commands before they reach GPU,Įnsuring that a page can only work with its own data. The security requirements for WebGPU are the same as ever for the web, and are likewise non-negotiable. It describes the risks associated with exposing this API on the Web. Such as beginRenderPass() or setBlendConstant(). In these pipeline objects is set during encoding with commands, Most of the state of a pipeline is defined byĪ GPURenderPipeline or a GPUComputePipeline object. Programmable stages execute shaders, which are special programs designed to run on GPU hardware. Which is a mix of fixed-function and programmable stages. GPUs execute commands encoded in GPUCommandBuffers by feeding data through a pipeline, Such as GPUSampler or GPUBindGroup, configure the way physical resources are used by the GPU. GPUCommandBuffer and GPURenderBundle are containers for user-recorded commands. GPUBuffer and GPUTexture are the physical resources backed by GPU memory. GPUDevice may have its own memory with high-speed access to the processing units. It provides a connection to an adapter via GPUDevice, which manages resources, and the device’s GPUQueues, which execute commands. WebGPU sees physical GPU hardware as GPUAdapters. WebGPU is not related to WebGL and does not explicitly target OpenGL ES. The API is designed from the ground up to efficiently map to (post-2014) native GPU APIs. WebGPU is an API that exposes the capabilities of GPU hardware for the Web. Have been essential in enabling rich rendering and computational applications in personal computing. Graphics Processing Units, or GPUs for short, 25.2 Temporary usages of non-exported dfns.25.1.2.2 Copying Depth/Stencil Textures.25.1.2.1 Reading and Sampling Depth/Stencil Textures.9.1.2 Shader Module Compilation Information.3.2 Invalid Internal Objects & Contagious Invalidity.
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