1 रिपॉजिटरी
Low-level control over threading and blocking logic for fine-grained hardware customization on CPUs.
Distinct from Microkernel: Does not refer to an OS microkernel, but to micro-kernels of computation; not matching available hardware or OS microkernel tags.
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oneDNN is a library for deep learning acceleration that provides optimized building blocks for neural network training and inference. It manages tensor computation across CPU and GPU hardware, enabling the execution of high-performance primitives for model training and neural network inference optimization. The project distinguishes itself through hardware-specific kernel optimization and the use of just-in-time compilation to target specific processor instruction sets. It supports quantized neural network execution using both static and dynamic quantization to reduce memory usage and increas
Provides manual control over threading and blocking logic on CPUs via microkernel interfaces to maximize hardware customization.