K-means Clustering-specific Lightweight RISC-V processor
Wooyoung Lee, Jina Park, Changjun Byun, Eunjin Choi, Jae‐Hyoung Lee, Woojoo Lee, Kyung Jin Byun, Kyuseung Han · 2021
While the demand for edge devices performing K-means clustering algorithm is expected to explode, this paper introduces a K-means clustering-specific processor for edge devices. The processor consists of hardware to accelerate the K-means algorithm and lightweight RISC-V core, and functional validation has been completed through RTL simulation and FPGA prototyping. The processor prototype demonstrates its excellence by performing the K-means algorithm about 56 times faster.