High Performance Computing at Extreme Scale: Resilience, Energy Efficiency, and Scalability
Mr. Jieyang Chen is a Ph.D. candidate in Computer Science at University of California, Riverside. He received a Master's degree in Computer Science from the University of California, Riverside in 2014 and a Bachelor's degree in Computer Science and Engineering from Beijing University of Technology in 2012. His research primarily focuses on high performance computing on GPUs with CUDA, algorithm-based fault tolerance, energy-efficient computing, and virtualized computing. He did a summer internship at Los Alamos National Laboratory in 2017 and he is currently collaborating with Los Alamos National Laboratory working on HPC virtualization. He is also collaborating with Pacific Northwest National Laboratory working on GPU performance optimization.