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.
Dr. Lin participated in several DOE and NSF research projects in large scale scientific simulations. He has 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