Theme Article: Special Section on Security, Trust and Services for AI-Empowered Sensing in the Next Generation IoT Art Installation Design and Algorithm Research Oriented to Heterogeneous Computing Architecture and Particle Swarm Algorithm Fanyu Meng School of Art, Zhejiang Yuexiu University Abstract-Traditional high-performance computers generally use commercial generalpurpose processors. When constructing large-scale parallel computing systems, they will face many challenges in system efficiency, power consumption, system maintenance, and cost. Heterogeneous architectures have begun to become the key to constructing supercomputer systems. In order to improve the optimization efficiency of the particle swarm algorithm, based on the simplified particle swarm algorithm, an improved strategy for fusion of population information is proposed. Only using the optimal position of the individual particle and the optimal position of the population to update the particle position makes the algorithm description simpler, construct a random term that depends Digital Object Identifier 10.1109/MCE.2021.3133266 Date ofpublication 7December 2021; date ofcurrent version 9 February 2023. March/April 2023 Published by the IEEE Consumer Technology Society 2162-2248 ß 2021 IEEE 41