Dr. Pei-Hung Lin is a computer scientist in the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory. His research focus spans compiler optimization, parallel programming model, and domain-specific optimization. Dr. Lin received his Ph.D. degree in Computer Science from University of Minnesota in June 2013. He also holds M.S. in University of Minnesota and B.S. in National Tsing-Hua University, Taiwan.

Research Experience

Dr. Lin participated in several DOE and NSF research projects in large scale scientific simulations. He experiences with leading HPC systems including IBM Roadrunner system, Cray's XT5 (Kraken at NICS), Cray's XE6 & XK7 (Blue Waters at NCSA) and IBM Blue Gene machines. He also actively participates in projects with innovative systems including the Nvidia's GPGPU and Intel's Xeon Phi. He is a core member in ROSE project and member of the Advanced Architecture and Portability Specialists (AAPS) team.

• Yan, Yonghong, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, and Daniel J. Quinlan. "Supporting multiple accelerators in high-level programming models." In Proceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores, pp. 170-180. ACM, 2015.
• Markus Schordan, Pei-Hung Lin, Dan Quinlan, and Louis-Noel Pouchet. "Verification of Polyhedral Optimizations with Constant Loop Bounds in Finite State Space Computations," in Proceedings of the 6th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation.  T. Margaria and B. Steffen (Eds.): ISoLA 2014, Part II, LNCS 8803, pp. 493--508. Springer, Heidelberg (2014).
• Sanyam Mehta, Pei-Hung Lin and Pen-Chung Yew, "Revisiting Loop Fusion in the Polyhedral Framework," PPoPP 2014
• Woodward, Paul R ; Jayayaraj, J.; Lin, p.-H. ; Knox, Mike; Porter, David H. ; Fryer, Christopher L.; Dimonte, Guy ; Joggerst, Candace C.; Rockefeller, Gabriel M.; Dai, William W. ; Kares, Robert J.; Thomas, Vincent A., "Simulating Turbulent Mixing from Richtmyer-Meshkov and Rayleigh-Taylor Instabilities in Converging Geometries using Moving Cartesian Grids," DECDC2012 Livermore, California
• Pei-Hung Lin, J. Jayaraj, P. R. Woodward, Pen-Chung Yew, A Study of Performance Portability Using Piecewise-Parabolic Method (PPM) Gas Dynamics Applications, International Conference on Computational Science (ICCS) 2012.
• Ramaprabhu, P.; Dimonte, Guy; Woodward, P.; Fryer, C.; Rockefeller, G.; Muthuraman, K.; Lin, P.-H.; Jayaraj, J., The late-time dynamics of the single-mode Rayleigh-Taylor instability, Physics of Fluids, Volume 24, Issue 7, pp. 074107-074107-21 (2012)
• Pei-Hung Lin, J. Jayaraj, P. R. Woodward, A study of the performance of multifluid PPM gas dynamics on CPUs and GPUs, SAAHPC 2011.
• Pei-Hung Lin, J. Jayaraj, P. R. Woodward, P. Yew, A Code Transformation Framework for Scientific Applications on Structured Grids, Technical Report 11-021, UMN Computer Science and Engineering Technical Report, Sep. 2011.
• Pei-Hung Lin, Jagan Jayaraj and Paul Woodward, A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression, SAAHPC 2010 poster exhibition.
• P.R. Woodward and J. Jayaraj and P.-H. Lin and P.-C. Yew and M. Knox and J. Greensky and A. Nowatzki and K. Stoffels. Boosting the Performance of Computational Fluid Dynamics Codes for Interactive Supercomputing International Conference on Computational Science, ICCS 2010
• Paul Woodward, Jagan Jayaraj and Pei-Hung Lin, Interactive Supercomputing Enabled by Cell Processor Accelerators, SAAHPC 2010
• Woodward, P. R., J. Jayaraj, P.-H. Lin, and W. Dai, First Experience of Compressible Gas Dynamics Simulation on the Los Alamos Roadrunner Machine, Concurrency and Computation: Practice and Experience, Volume 21 Issue 17, Pages 2160 - 2175
• P. Woodward, J. Jayaraj, P.H. Lin, P.C. Yew, Moving Scientific Codes to IBM Cell Processor and Other Multicore Microprocessor CPUs, IEEE Computing In Science and Engineering, pages 16-25, November 2008.