2 dépôts
Awesome GitHub RepositoriesAsynchronous GPU Tasking
Non-blocking execution of GPU operations to prevent main thread stalling.
Distinct from Asynchronous Task Processors: Specifically targets the offloading of GPU kernels rather than general background application tasks.
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Awesome Asynchronous GPU Tasking GitHub Repositories
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- hybridgroup/gocv
hybridgroup/gocv
7,463Voir sur GitHubGoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br
Executes CUDA operations asynchronously to allow multiple tasks to run without blocking the main thread.
Go - answerdotai/gpu.cpp
AnswerDotAI/gpu.cpp
3,981Voir sur GitHubgpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through
Coordinates the dispatch of GPU kernels using asynchronous primitives to manage non-blocking execution.
C++
