AI Performance Testing and Optimization Based on University-level Cross-domain Computing Power Cluster
With the accelerated arrival of the era of Artificial Intelligence,high-performance computing,Artificial Intelligence computing and other diversified computing power has become the productivity core of the current development of digital information society,and the construction of computing power network can fully mobilize the resources of distributed computing power center.Huazhong University of Science and Technology realizes the unified scheduling and management of computing power resources by integrating multiple computing power centers in the university.This paper describes the hardware and software environment of cross-domain computing power cluster,and compares the AI performance of each computing power center based on PyTorch framework.The experimental results show that the platform supports the cross-domain call of AI computing power,and the performance bottleneck caused by cross-domain data transmission can be completely solved by adopting certain optimization schemes.
国家科技期刊平台
NSTL
万方数据
