toil
Array computation accelerator
An n-dimensional array library leveraging WGPU compute shaders to accelerate array computations across multiple GPU backends.
An n-dimensional array library that uses wgpu to run compute shaders on all wgpu backends (and multiple at once)
30 stars
5 watching
1 forks
Language: Rust
last commit: over 4 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 acceleratehs/accelerate | A high-performance parallel array computation language and runtime system for Haskell | 909 |
 calebwin/emu | A library for portable, modular, and performant GPU compute programming in Rust. | 1,597 |
 syncleus/aparapi | Enables execution of native Java code on a GPU. | 467 |
 apache/tvm-vta | A comprehensive hardware design stack for accelerating deep learning models | 258 |
 deepakkumar1984/amplifier.net | A .NET library that enables developers to run complex applications on various hardware platforms without writing additional C kernel code. | 177 |
 nvdla/hw | The NVDLA project provides hardware designs and tools for building deep learning inference accelerators. | 1,763 |
 jgbit/vuda | Provides a Vulkan-based interface to CUDA's runtime API for GPU-accelerated applications | 869 |
 alibaba-miil/tresnet | A high-performance deep learning architecture designed to balance accuracy and efficiency on GPUs. | 471 |
 rapidsai/jupyterlab-nvdashboard | An extension for JupyterLab that visualizes system hardware metrics, particularly GPU usage. | 615 |
 gpuopen-librariesandsdks/radeonrays_sdk | A C++ library for accelerating ray intersection queries on GPU and CPU for various graphics frameworks | 1,073 |
 vaneenige/phenomenon | A small, low-level WebGL library providing essentials for high-performance rendering of particles on the GPU. | 1,783 |
 fsprojects/simdarray | A library that provides performance-enhanced array operations using SIMD and parallel processing in F# | 132 |
 danielbusaba/rust-gpu | An effort to integrate Rust with GPU acceleration using the wgpu-rs library | 5 |
 stanford-ppl/spatial | A toolset for designing and implementing reconfigurable hardware acceleration using high-level abstraction | 274 |
 vassvik/minimal_opengl | A minimal setup to experiment with OpenGL compute shaders in a standalone environment. | 6 |