Change Description

Due to the architectural differences of Kunpeng processors, the advantages in hardware-software collaboration of the ScaNN algorithm cannot be fully realized on Kunpeng servers. To address this, the KScaNN optimization feature is introduced to enhance the performance of the ScaNN algorithm on these servers. Kunpeng Scalable Nearest Neighbors (KScaNN) is a vector retrieval algorithm that utilizes inverted indexing and is deeply optimized for the Kunpeng processor architecture in terms of index layout, algorithm flow, and computation flow, with the goal of fully exploiting the processor capabilities. The KScaNN interfaces extend and modify the open source ScaNN interfaces, offering comprehensive retrieval capabilities comparable to those of open source ScaNN.