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Awesome GitHub RepositoriesCPU Primitive Execution
Executing optimized deep learning operations on various processor architectures using JIT code generation.
Distinct from CPU Instruction Set Detection: Shortlist candidates focus on instruction detection or logs, not the actual execution of DL primitives on CPU.
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Awesome CPU Primitive Execution GitHub Repositories
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- uxlfoundation/onednn
uxlfoundation/oneDNN
4,009Auf GitHub ansehenoneDNN 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
Runs deep learning operations on various processor architectures using just-in-time code generation for the detected instruction set.
C++aarch64amxavx512
