3 Repos
Awesome GitHub RepositoriesZero-Copy GPU Buffer Interop
High-performance sharing of typed GPU buffers between libraries without copying data to system memory.
Distinct from Zero-Copy Image Buffers: Focuses on cross-library GPU buffer interoperability rather than image-specific shared memory or network sockets.
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Awesome Zero-Copy GPU Buffer Interop GitHub Repositories
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- maderix/ane
maderix/ANE
6,876Auf GitHub ansehenANE is an open-source framework for training neural networks directly on Apple's Neural Engine hardware, bypassing Apple's public Core ML toolchain through reverse-engineered private APIs. It provides low-level control over the ANE, enabling developers to compile custom compute graphs into binary kernels, partition transformer model layers into hardware-compatible subgraphs, and share GPU-allocated memory with the Neural Engine via zero-copy IOSurface buffers. The framework distinguishes itself by offering direct access to hardware performance counters and power telemetry for benchmarking thr
Shares GPU-allocated buffers directly with the Neural Engine via IOSurface to eliminate data copying.
Objective-C - wang-bin/qtav
wang-bin/QtAV
4,250Auf GitHub ansehenQtAV is a cross-platform media engine and multimedia framework that combines FFmpeg decoding with the Qt framework for audio and video rendering. It functions as a hardware-accelerated video player, an OpenGL video renderer, and a multimedia stream transcoder. The project distinguishes itself through a hardware-abstraction decoding layer that utilizes GPU interfaces such as VA-API and VideoToolbox to decode high-resolution video. It employs a zero-copy memory transfer path to move decoded video data directly to graphics APIs, reducing CPU overhead and enabling high-performance YUV rendering.
Implements a zero-copy path to transfer decoded video data directly to GPU buffers, reducing CPU overhead.
C++ - software-mansion/typegpu
software-mansion/TypeGPU
2,564Auf GitHub ansehenTypeGPU is a tool for type-safe WebGPU development that enables writing shaders in TypeScript. It translates high-level TypeScript function definitions and structures into WebGPU Shading Language source code to automate shader generation and validate logic using a type system. The project provides a mechanism for cross-library GPU interoperability by sharing typed buffers without copying data to system memory. It also integrates the Model Context Protocol to allow AI agents to inspect generated shader code and diagnose runtime errors. The system manages WebGPU resource mapping through typed
Shares typed GPU buffers between libraries without copying data to system memory for high performance.
TypeScriptgpgpugpugpu-computing
