A dynamic parallel method for performance optimization on hybrid CPUs
Authors: name: Luo Yu, name: Liu Yucheng, name: Shen Haihao

The AIPC concept is gaining popularity, and more and more hybrid CPUs will be
running AI models on client devices. However, the current AI inference
framework overlooks the imbalanced hardware capability of hybrid CPUs, leading
to low inference performance. To address this issue, we have introduced a
dynamic parallel method for hybrid CPUs, which significantly increases LLM
inference performance by balancing the workload for each core of a hybrid CPU
before the parallel work starts. This method has enabled Neural Speed to
achieve more than 90% (on average) of memory bandwidth on two hybrid Intel
CPUs.