Biography
Dr. Lu is an HPC Research Scientist in the Analytics and AI Methods at Scale group within the Oak Ridge Leadership Computing Facility (OLCF). He earned his PhD in Computer Science in December 2016 and his BS in Computer Science in December 2011 from Washington State University. His thesis focused on parallel communities’ detection and graph analysis. He completed his post-doctoral research in Computer Science and Mathematics at ORNL in July 2019. During his post-doctoral research, he developed DAPPER (Data Analysis Parallel Package Maker), a highly scalable application-independent parallel framework for spatial data analysis. As member of the SNAPSHOT team, he was Gordon Bell Prize finalist 2020, 2022 and R&D100 finalist in 2020. As the member of OLCF HPL-AI team, his implementation delivered world-record performance on Frontier of 6.86 Exaflops. His research interests include parallel spatial data structures, graph algorithms, HPC, and largescale data analysis.
Presentations
ACM Gordon Bell COVID Finalist
ACM Gordon Bell Finalist
Awards Presentation
Recorded
Awards
TP
Paper
Recorded
Extreme Scale Computing
Memory Systems
Parallel Programming Systems
State of the Practice
TP
ACM Gordon Bell Finalist
Awards Presentation
Recorded
Awards
TP