# gpuweb/gpuweb

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5,414 stars · 373 forks · Bikeshed · NOASSERTION

## Links

- GitHub: https://github.com/gpuweb/gpuweb
- Homepage: https://webgpu.org
- awesome-repositories: https://awesome-repositories.com/repository/gpuweb-gpuweb.md

## Topics

`gpgpu-computing` `gpu` `w3c` `webgpu` `wgsl`

## Description

This project provides a comprehensive toolset for WebGPU, serving as a graphics API wrapper, compute shader framework, resource manager, and shader toolchain. It enables browser-based GPU acceleration by offloading memory-intensive tasks and data processing from the CPU to the GPU.

The framework manages the full lifecycle of GPU operations, from requesting physical hardware adapters and initializing logical devices to configuring programmable render and compute pipelines. It specifically supports the coordination of parallel workgroups and collective subgroup operations for general-purpose computations.

The system covers a broad capability surface including GPU resource management for buffers and textures, shader development workflows with custom entry points, and performance optimization through command buffer recording. It also includes observability tools for hardware performance queries, error isolation, and diagnostic filtering.

## Tags

### Graphics & Multimedia

- [Compute Shader Pipelines](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/shaders/compute-shader-dispatchers/compute-shader-pipelines.md) — Provides a framework for executing general-purpose parallel processing tasks via compute shader pipelines. ([source](https://gpuweb.github.io/gpuweb/))
- [GPU Bind Group Mappings](https://awesome-repositories.com/f/graphics-multimedia/gpu-bind-group-mappings.md) — Provides mechanisms for mapping high-level resource keys to GPU bind group indices in graphics pipelines.
- [GPU Resource Management](https://awesome-repositories.com/f/graphics-multimedia/gpu-resource-management.md) — Provides declarative systems for managing the lifecycle and allocation of buffers, textures, and shaders on the GPU.
- [Rendering Pipelines](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/rendering/engines/graphics-pipeline-architectures/rendering-pipelines.md) — Executes programmable graphics pipelines to process vertices and fragments for output to color attachments. ([source](https://gpuweb.github.io/gpuweb/))
- [WebGPU Renderers](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/rendering/systems/3d-graphics-pipelines/webgpu-renderers.md) — Leverages modern GPU-accelerated web APIs to produce high-performance three-dimensional graphics and visual effects.
- [Texture Management Systems](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/texture-management-systems.md) — Manages the allocation, update, and lifecycle of multidimensional GPU textures. ([source](https://gpuweb.github.io/gpuweb/))
- [Shader Development Workflows](https://awesome-repositories.com/f/graphics-multimedia/shader-development-workflows.md) — Provides tools for writing and organizing vertex, fragment, and compute shaders with custom entry points and resource bindings.
- [Canvas Rendering](https://awesome-repositories.com/f/graphics-multimedia/canvas-rendering.md) — Binds the GPU context to a canvas element and optimizes texture formats for display. ([source](https://gpuweb.github.io/gpuweb/))
- [Subgroup Collective Operations](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/shaders/compute-shader-dispatchers/compute-shader-pipelines/subgroup-collective-operations.md) — Coordinates communication and collective computation, such as reductions and shuffles, between invocations in a subgroup. ([source](https://gpuweb.github.io/gpuweb/wgsl/))
- [Pipeline Constants](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/shaders/shader-cross-compilation-pipelines/shader-compilation-pipeline-controllers/pipeline-constants.md) — Provides mechanisms to configure overridable pipeline constants for tuning shader behavior without requiring module recompilation. ([source](https://gpuweb.github.io/gpuweb/wgsl/))
- [Canvas Context Bindings](https://awesome-repositories.com/f/graphics-multimedia/graphics-engines-rendering/texture-management-systems/canvas-context-bindings.md) — Implements the binding of GPU contexts to web canvas elements for optimized system display.
- [Shader Type Definitions](https://awesome-repositories.com/f/graphics-multimedia/shader-type-definitions.md) — Implements scalar, vector, matrix, and structure type definitions to describe GPU data layout and mathematical properties. ([source](https://gpuweb.github.io/gpuweb/wgsl/))
- [Shader User-Defined Functions](https://awesome-repositories.com/f/graphics-multimedia/shader-user-defined-functions.md) — Enables the definition of custom functions within shaders to encapsulate reusable executable behavior. ([source](https://gpuweb.github.io/gpuweb/wgsl/))

### Web Development

- [Browser-Based GPU Acceleration](https://awesome-repositories.com/f/web-development/browser-based-gpu-acceleration.md) — Enables offloading of memory-intensive tasks and data processing from the CPU to the GPU for web applications.

### DevOps & Infrastructure

- [Graphics Rendering Pipelines](https://awesome-repositories.com/f/devops-infrastructure/automated-analysis-pipelines/multi-stage-analysis-pipelines/graphics-rendering-pipelines.md) — Processes draw commands through coordinate transforms, clipping, and pixel output stages in a programmable pipeline.
- [Asynchronous Operation Synchronizations](https://awesome-repositories.com/f/devops-infrastructure/distributed-synchronization/barrier-synchronization/asynchronous-operation-synchronizations.md) — Ensures data consistency across concurrent invocations using memory barriers and async completion signals. ([source](https://gpuweb.github.io/gpuweb/wgsl/))

### Operating Systems & Systems Programming

- [GPU Device Initializations](https://awesome-repositories.com/f/operating-systems-systems-programming/gpu-device-initializations.md) — Provides the foundational logic for requesting physical hardware adapters and initializing logical GPU devices.
- [GPU Memory Allocators](https://awesome-repositories.com/f/operating-systems-systems-programming/kernel-core-internals/process-and-memory-management/memory-management/allocation-strategies/dynamic-memory-allocation/gpu-memory-allocators.md) — Implements direct allocation and manipulation of contiguous data buffers within GPU hardware memory.
- [GPU Memory Space Partitioning](https://awesome-repositories.com/f/operating-systems-systems-programming/global-address-space-management/gpu-memory-space-partitioning.md) — Partitions GPU memory into distinct spaces such as private or storage to control visibility and mutability. ([source](https://gpuweb.github.io/gpuweb/wgsl/))
- [GPU Memory Layout Definitions](https://awesome-repositories.com/f/operating-systems-systems-programming/gpu-memory-layout-definitions.md) — Implements specifications for structured data types and memory layouts optimized for GPU processing. ([source](https://gpuweb.github.io/gpuweb/wgsl/))

### Programming Languages & Runtimes

- [Shader Toolchains](https://awesome-repositories.com/f/programming-languages-runtimes/program-entry-points/shader-entry-point-configurators/shader-toolchains.md) — Offers a comprehensive toolset for defining shader entry points and managing pipeline constants.
- [GPU Asynchronous Data Transfers](https://awesome-repositories.com/f/programming-languages-runtimes/gpu-asynchronous-data-transfers.md) — Provides high-speed data movement between buffers and textures to overlap computation with memory access. ([source](https://gpuweb.github.io/gpuweb/))
- [Shader Entry Point Configurators](https://awesome-repositories.com/f/programming-languages-runtimes/program-entry-points/shader-entry-point-configurators.md) — Provides utilities to designate specific functions as entry points for vertex, fragment, and compute shader stages. ([source](https://gpuweb.github.io/gpuweb/wgsl/))

### Scientific & Mathematical Computing

- [Workgroup-Based Parallel Execution](https://awesome-repositories.com/f/scientific-mathematical-computing/workgroup-based-parallel-execution.md) — Dispatches groups of shader invocations to perform general-purpose computations and coordinate via memory barriers.
- [GPU-Accelerated Computation](https://awesome-repositories.com/f/scientific-mathematical-computing/gpu-accelerated-computation.md) — Offloads mathematical operations to graphics hardware for high-performance general-purpose numerical processing.

### Data & Databases

- [Subgroup Collective Operations](https://awesome-repositories.com/f/data-databases/collective-gpu-communication/subgroup-collective-operations.md) — Coordinates communication and data shuffles between a small group of invocations within a single GPU warp.

### Game Development

- [GPU Command Recording](https://awesome-repositories.com/f/game-development/engine-architecture/gpu-command-recording.md) — Records sequences of graphics operations into reusable buffers to reduce central processor load. ([source](https://gpuweb.github.io/gpuweb/))

### User Interface & Experience

- [Texture Samplers](https://awesome-repositories.com/f/user-interface-experience/texture-mapping/texture-samplers.md) — Retrieves texel data from textures using samplers for filtering and coordinate transformations. ([source](https://gpuweb.github.io/gpuweb/wgsl/))