1 dépôt
Awesome GitHub RepositoriesChipset Acceleration
Support for offloading model computation to mobile or embedded processor cores.
Distinct from Hardware Acceleration: Distinct from Hardware Acceleration: focuses on specific mobile/embedded chipset optimization rather than general GPU acceleration.
Explore 1 awesome GitHub repository matching operating systems & systems programming · Chipset Acceleration. Refine with filters or upvote what's useful.
Awesome Chipset Acceleration GitHub Repositories
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- microsoft/onnxruntime
microsoft/onnxruntime
19,347Voir sur GitHubThis project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management. The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation
Executes models on mobile or embedded chipsets by offloading computation to dedicated processor cores.
C++ai-frameworkdeep-learninghardware-acceleration
