Ian Wang Bio Image

Ian Wang

Research Associate

HPC Performance & Architectures Group

512-475-9411
iwang@tacc.utexas.edu


Ian joined TACC as a Research Associate in the Performance and Architecture Group in 2018. Currently, he focuses on system performance analysis and industry standard benchmarking on HPC platforms as well as assisting TACC users with the porting, analysis, and improvement of their research software. Prior to joining TACC, he held a position at the Center for Research in Extreme Scale Technologies (CREST) at Indiana University where he worked on asynchronous multi-tasking runtime system development and RDMA networking library integration. He also worked as a Research Geophysicist at the Indiana Geological and Water Survey where he involved the collaborative development of a science gateway for simulation and assessment of CO2 capture and storage technologies with Los Alamos National Lab and Pervasive Technology Institute.


Research Interests

  • Scientific Computing
  • Performance Analysis and Benchmarks
  • Parallel Runtime Systems
  • Asynchronous Multi-Tasking
  • Signal Processing
  • Data Processing and Simulations in Geophysics
  • Data Science

Education

Ph.D., Geophysics
Indiana University

M.S., Geophysics
Indiana University

B.S., Geophysics
Indiana University


Publications

Y. Wang, G. L. Pavlis, and M. Li, "Heterogeneous distribution of water in the mantle transition zone inferred from wavefield imaging," Earth Planet. Sci. Lett., vol. 505, pp. 42–50, Jan. 2019.

Y. Wang et al., "A New Science Gateway to Provide Decision Support on Carbon Capture and Storage Technologies," in Proceedings of the Practice and Experience on Advanced Research Computing, New York, NY, USA, 2018, pp. 76:1–76:3.

Y. Wang and G. L. Pavlis, "Roughness of the mantle transition zone discontinuities revealed by high-resolution wavefield imaging," J. Geophys. Res. Solid Earth, vol. 121, no. 9, pp. 6757–6778, Sep. 2016.

Y. Wang and G. L. Pavlis, "Generalized iterative deconvolution for receiver function estimation," Geophys. J. Int., vol. 204, no. 2, pp. 1086–1099, Jan. 2016.