Dr. Xiaozhu Meng is a Research Scientist of Computer Science at Rice University. He is an active developer for the HPCToolkit project, an integrated suite of tools for measurement and analysis of application performance on computers ranging from desktops to supercomputers, and the Dyninst project, a binary analysis and instrumentation tool suite. He obtained his PhD in Computer Science in 2018 at University of Wisconsin-Madison. His research focuses on binary code analysis and instrumentation, and its application in HPC and security. He is presently working on an implementation of the HPCToolkit on top of the Level 0 in oneAPI and have designed and implemented a parallel binary analysis for analyzing program control flow using OpenMP task parallelism and Intel TBB inside Dyninst.
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Reliability and Resiliency