During his PhD studies, Cheng Huang researched how large and complex graph problems can be solved efficiently on modern parallel hardware. Cheng Huang designed new parallel algorithms for graph analysis and mining, with a particular focus on multi-core CPUs, GPUs and IPUs. His research improved computational efficiency, scalability and memory usage for several graph analysis and mining tasks.

The new research findings contribute to faster analysis of large-scale graph data and provide practical methods for making better use of modern computing hardware.

The PhD study was completed at Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.